Top 10 machine learning startups in 2021 edition 2

APRIL 2021
Top 10 Machine
Learning Start-ups
in 2021
www.swiftnlift.in
D Harshal, I Pavan Raju, VK Harikrishnan.
Founders
Heu.ai

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The cover story has featured I Pavan Raju (Director) of Heu
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APRIL 2021
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Content
Heu Technologies
Private Limited
VDAI Biosec
Private
Limited
Rezo.AI
Artificial
Intelligence
and
Creativity
Relevant
features and
examples
in Machine
Learning
Neuromation -
Synthetic Data
Platform For
Deep Learning
Applications
16
20
10
Matsci AI
Private
Limited
18
22 32 42

TAI
28
Syberzen
Infosec
Private Limited
34
Fliar Business
Intelligence
Pvt Ltd
40
BLP Industry
AI Private
Limited
38
Shaip AI
30
TextronixAI
26

Top 10 Machine
Learning Start-ups
in 2021
“Artificial intelligence is
growing up fast as are robots
whose facial expressions can
elicit empathy and make
your mirror neurons quiver”
Diane Ackerman

Tellusaboutyourcompany.Itsvision
and mission.
Heu.ai is a platform for Artificial Intelligence
solutions that empowers ventures to upgrade
their business by solving challenging problems
and enhancing them. We evaluate each business
idea and come up with the best proposals that
add value to their customers and clients using
AI.
Our competent team of AI developers and Data
Scientists work around the clock in our R&D
section to ensure business ideas are transformed
to end products. We provide consultancy
services to clients, helping them to design and
implement their ideas using AI solutions. We
help in building an AI strategy and provide
awareness about the capabilities of AI and their
use cases to our clients.
Founders of the organization believe in enabling
people and society at large with the capabilities of
AI. For this specific purpose, we have a separate
motivatedteamoftrainerstoconductworkshops
at corporate offices, schools, and universities
for students and professionals. Heu is
short for heuristic. Meaning of
heuristic: “Enabling someone
to discover or learn
something for
themselves”
W h a t
were the
constraints
you faced at the
time of inception?
We haven’t confronted any
Heu.ai
Heu Technologies Pvt Ltd is a platform
for Artificial Intelligence solutions
which empowers ventures to upgrade
their business by solving challenging
problems and enhancing them. The
organization was incorporated in
the year 2019. The Director of the
organizationisIPavanRaju. Theoffice
is situated at Jeedimetla, Hyderabad.
Below are the highlights of the
interview conducted between
SwiftnLift Business Magazine
and I Pavan Raju

requirements at the hour of inception as we began
as a little group of 3 originators and focused on
getting a drawn-out customer which assisted us
with developing our group and income after some
time. As we don’t have any investment needed to
deliver the work, we didn’t have any monetary
compels too.
What services do you provide to the
customers?
Our services are focused mainly on the customized
AI implementation in the customer’s End platform.
We provide API endpoints for customers to
integrate into their platforms for any of the below
use cases:
1. ID Verification for e-KYC
2. 3D Face reconstruction
3. Attendance Management System
4. Gaze estimation for Online Education
5. Virtual Voice Assistant in natural language
We also help customers to build their own SAAS
software with AI solutions integrated into it.
How do you manage to work on
different things using AI?
At first, we conveyed just focused on delivering
AI work for the customers however we saw that
customers were searching for start to finish
arrangements which created us to construct a solid
team with individuals committed to numerous
innovations with which we can have the ability to
meet any customer’s undertaking requirements.
Our team does solid research on the area which
assists with settling the customer’s problem
statement with the latest solutions.
D Harshal
VK Harikrishnan I Pavan Raju

Can you please brief us about your
team and its strength?
Our team consists of:-
 AI Trainers and Developers – 3
 Front-end Developers – 4
 Back-end Developers – 3
 UI/UX designers – 1
 QA – 3
 Content Writers - 2
What security measures do you have in
place for data security?
We have every project hosted on the GCP and
Amazon Cloud to guarantee that we carefully
follow all the security conventions to ensure our
organization and customer’s information at the
most secure. For every completion of a Client
project, we do End-to-end penetration testing,
so that at any cost our client’s project won’t be
subjected to vulnerability.
How are you keeping up with the latest
developments in various industries
where technology has emerged?
We guarantee that we stay updated with the most
recent changes that are adopted in our space. We
have a dedicated team that is focused on AI R&D
that consistently follows research papers published
and implements them in our solutions to improve
the efficiency/performance of our solutions from
time to time.
How AI will change the world and what
are its advantages?
We are now at the very beginning of a new
generation. There is a wide scope of AI in the future
in different sectors. Many challenges which seem
to be impossible to date are now transforming into
possible outcomes using AI. The impact of AI is
already being felt in the majority of industries and
serious R&D is happening over the globe which
will reveal as time flows.
Advantages:
 Withitsusecases,wecanimplementAIsolutions
across different industries for providing better
services.
 They are good at delivering results faster with a
very minimal error rate.
 An AI algorithm helps to deliver personalized
suggestions which have a greater impact on user
satisfaction.

The convergence of AI and Robotics has
promising results in Assembly lines, Personal
Assistance, space exploration, Medical, and
many more.
What is your strategy to reach new
industries and new customers?
We believe that AI has a wide scope in different
industries which need to be identified and solved.
Currently, AI was able to penetrate into few sectors,
and there are many more sectors and industries in
those sectors are need to be explored. Our team
is continuously looking for unexplored areas of AI
and tends to solve the problems in those industries.
What are your upcoming projects?
1. Natural voice-based Virtual Assistant
2. Healthcare Assistant Mobile Application

Top 10 Machine
Learning Start-ups
in 2021
VDAI Biosec Private
Limited
About Us
Incorporated in Year 2017, VDAI BioSec Pvt Ltd
as requirement of IIT Kanpur incubation, provides
solutions for Human Capital Management and has
implemented multiple successful interventions
in key departments in past 2.5 years. The
promoters are ex-government employees and IT
professionals. The company is virtually incubated
with SIDBI Innovation and Incubation Centre, IIT
Kanpur. And is the only successful organization
using artificial intelligence with image recognition.
We offer maximum customer satisfaction along
with result-oriented solutions with our futuristic
services.
16 APRIL 2021 SwiftNLift

What we do?
A product driven Machine Learning/AI
focused IIT Kanpur incubated startup having
successfully implemented solutions impacting
30%+ population of U.P. Have strong Android
and Python/PHP development team for industry
automation having existing IT infrastructure or first
time adapters
Our Services
A product driven Machine Learning/AI focused
company having successfully implemented solutions
and have strong Android and Python/PHP
development team for industry automation having
existing IT infrastructure or first time adapters.
• CO-WORKING: Desk space in a sociable co
working office space, first come first served, or
you can reserve your own desk by selecting plan
from our pricing table.
• OFFICE SPACE: Fully-furnished, IT enabled
work space that can grow with your business for
one person or an entire team.
• IDEA IMPLEMENTATION: We implement
products (software, websites & apps) on the basis
of idea given to us by customers. Feel free to come
any time.
Our Accomplishments
Government sector is becoming digital day by day
and we feel proud that we got this opportunity of
making it more digital. Some of our projects running
in government sector are as follows-
1. Basic Education Solution: This area covers child
education and teacher attendance for better future
and maintaining transparency among school and
guardians.
2. Health Department: Health and consciousness is
important and this is why we are focused towards
it and have our app working in state level.
3. School Inspection and tracking: This area covers
food and clothing conditions of students and
schools. Inspection is done by teams which go to
different schools on daily basis.
4. Tax Collection: This is the responsibility of every
individual to pay tax for the services used by them
and our app and website is making it easy for
individuals.
17
APRIL 2021 SwiftNLift

Matsci AI
Private Limited
SHIVAM GUPTA
Director
Top 10 Machine
Learning Start-ups
in 2021
T
he MatSci is a team of MIT and IITs alumni
having working experience at top global
firms, Google, CitiGroup, HSBC and more.
Experienced Computer Scientists, Materials
Scientists, Data Scientists, Designers and Business
professionals share the same table at MatSci AI to
develop Knowledge Graph enabled AI solutions
for next-generation manufacturing business.
Finding the cheapest route to manufacture high
quality products your customers demand is as
easy as clicking a button. The missing part in other
solutions AI is not the end but the start. Finding
the cheapest product recipe or making sense of
the TBs of unstructured data is not only about AI,
domain knowledge is the key to the AI success. We
store industry experts knowledge in the form of
graph and apply AI on it.
How does our solution work?
It’s time to move from the stage of “So What?” to
“Now What?”
Our KG module captures the industry domain
knowledge and explores new relationships. While
AI module, exploits the domain knowledge
captured by KG to predict the cheapest product
recipe or converting unstructured data into
business insights.
MATERIALS COSTIMIZER
1. It helps Finding the best raw materials mix.
Whether you are a steel, welding, chemical

or polymers manufacturer, finding the best
raw materials mix is the key to reduce the
manufacturing cost substantially.
2.
It helps Meeting stringent customer quality
requirements. Every customer comes with up its
own quality requirements. Finding the optimal
recipe within a timeframe decides your business
growth.
3. It helps improving the profitability. The prices
of raw materials keep changing from time to
time. Real-time optimization of raw materials
mix reduces the risk and provides consistent
profitability.
How does it work?

Upload all raw materials and product recipe
data for one time.
 Knowledge Graph module explore the hidden
relationships among raw materials properties.
 AI module exploits the relationships and utilizes
data to predict product properties.

Set your customer requirements and get the
cheapest product recipe with a single click.
INFORMINER
1.
It helps Bringing visibility across the value
chain. Every manufacturing business generates
TBs of data. 70% of the data is unstructured
and effectively managing this unstructured data
brings an end to end visibility to the business.
2. It helps Capitalizing on Industry knowledge.
We live in information driven world. Utilizing
every bit of information and converting it to
easily accessible knowledge impacts the market
share.
3.
It helps Increasing Operational Efficiency.
From Sales to logistics departments, every
business unit of manufacturing industry require
exchange of documents. Automated analysis of
these documents results in higher operational
efficiency.
How does it work?

Upload the unstructured data in form of
documents

Extraction Module mines information as an
industry expert
 Knowledge Graph module converts information
into industry knowledge

AI module exploits the knowledge to predict
key business insights
19

Top 10 Machine
Learning Start-ups
in 2021
Rezo.AI
MANISH GUPTA
Co Founder & CEO
R
ezo.AI is the most powerful enterprise
platform. It supercharges the enterprise
with insights that increases loyalty, reduce
costs and deliver intelligent conversations.
Machine learning and technology enthusiastic
came together to build a rock solid product that can
digest data across multiple channel and automate
conversations for the customers.
Say hello to Rezo.AI Innovation on your wrist.
FEATURES
1.
Understands: Deep learning combined with
Natural language technology (NLP and NLU)
helps interpret customer language appropriately
and recognizes his/her intent to provide to
provide meaningful, accurate responses and
insights.
2. Compatibility; Integrates seamlessly with any
CRM and backend systems to fetch relevant
data and to provide accurate, relevant and in-
depth responses/insights to customer enquiries.
3. Massive Scale: The system has been drafted to
handle massive scale and scale out automatically
to handle any sort of sudden traffic.
4. Hosting: The system can be deployed on cloud

or on-premises basis the need of the
enterprise.
5. Multilingual: Build to seamlessly handle
any language and support customers no
matter how they communicate.
6.
Deployment Time: From data modeling
to integrating with the backend API’s the
system is ready in roll from anywhere
between 1-4 weeks basis the complexity.
21

Artificial
Artificial
Intelligence and
Intelligence and
Creativity
Creativity

Why AI must try to model creativity?
Creativity is a fundamental feature of human
intelligence and an inescapable challenge for AI.
Even technologically oriented AI cannot ignore
it, for creative programs could be very useful in
the laboratory or the marketplace. And AI models
intended (or considered) as part of cognitive
science can help psychologists to understand how
it is possible for human minds to be creative.
Creativity is not a special “faculty”, nor a
psychological property confined to a tiny elite.
Rather, it is a feature of human intelligence in
general. It is grounded in everyday capacities such
as the association of ideas, reminding, perception,
analogical thinking, searching a structured
problem-space, and reflective self-criticism. It
involves not only a cognitive dimension (the
generation of new ideas) but also motivation and
emotionandiscloselylinkedtoculturalcontextand
personality factors. Current AI models of creativity
focus primarily on the cognitive dimension.
A creative idea is one that is novel, surprising, and
valuable (interesting, useful, and beautiful). But
“novel” has two importantly different senses here.
The idea may be novel with respect only to the
mind of the individual (or AI-system) concerned
or, so far as we know, to the whole of the previous
history. The ability to produce novelties of the
former kind may be called P-creativity (P for
psychological), the latter H-creativity (H for
historical). P-creativity is the more fundamental
notion, of which H-creativity is a special case. AI
should concentrate primarily on P-creativity. If it
23

manages to model this in a powerful manner, then
artificial H-creativity will occur in some cases-
indeed.
Three types of creativity
There are three main types of creativity, involving
different ways of generating novel ideas. Each of the
three results in surprises, but only one (the third)
can lead to the “shock’ of surprise that greets an
apparently impossible idea. All types include some
H-creative examples, but the creators celebrated
in the history books are more often valued for
their achievements in respect of the third type of
creativity.
• The first type involves novel (improbable)
combinations of familiar ideas. Let us call this
“combinational” creativity. Examples include
much poetic imagery, and also analogy-wherein
the two newly associated ideas share some
inherent conceptual structure. Analogies are
sometimes explored and developed at some
length, for purposes of rhetoric or problem-
solving. But even the mere generation, or
appreciation, of an apt analogy, involves a (not
necessarily conscious) judicious structural
mapping, whereby the similarities of the
structure are not only noticed but are judged in
terms of their strength and depth.
• The second and third types are closely linked,
and more similar to each other than either
is to the first. They are “exploratory” and
“transformational” creativity. The former
involves the generation of novel ideas by the
exploration of structured conceptual spaces.
This often results in structures (“ideas”) that
are not only novel but unexpected. One can
immediately see, however, that they satisfy the
canons of the thinking style concerned. The
latter involves the transformation of some (one
or more) dimension of the space so that new
structures can be generated which could not
have arisen before. The more fundamental the
dimension concerned, and the more powerful
the transformation is, the more surprising the
new ideas will be. These two forms of creativity
shade into one another, since the exploration
of the space, can include minimal “tweaking”
of fairly superficial constraints. The distinction
between a tweak and a transform is to some

extent a matter of judgment, but the more well-
defined space, the clearer this distinction can
be.
Many human beings-including (for example) most
professional scientists, artists, and jazz-musicians
make a justly respected living out of exploratory
creativity. That is, they inherit an accepted style
of thinking from their culture, and then search
it, and perhaps superficially tweak it, to explore
its contents, boundaries, and potential. But
human beings sometimes transform the accepted
conceptual space, by altering or removing one (or
more) of its dimensions, or by adding a new one.
Such transformation enables ideas to be generated
which (relative to that conceptual space) were
previously impossible.
The more fundamental the transformation, and/
or the more fundamental the dimension that is
transformed, the more different the newly possible
structures will be. The shock of amazement that
attends such (previously impossible) ideas is much
greater than the surprise occasioned by mere
improbabilities, however unexpected they may
be. If the transformations are too extreme, the
relation between the old and new spaces will not
be immediately apparent. In such cases, the new
structures will be unintelligible and very likely
rejected. Indeed, it may take some time for the
relation between the two spaces to be recognized
and generally accepted.
The evaluation of new ideas
The main reason why most current AI models
of creativity attempt only exploration, not
transformation, is that if space is transformed then
the resulting structures may not have any interest
or value. Such ideas are novel, certainly, but not
creative.
This would not matter if the AI system were able to
realizethepoorqualityofthenewconstructionsand
drop (or amend) the transformation accordingly. A
truly automatic AI-creator would have evaluative
mechanisms sufficiently powerful to do this.
At present, this is very rarely so (an exception is
artificial co-evolution in which the fitness function
evolves alongside the several species involved.
Notoriously, AM produced many more useless
items than powerful mathematical ideas, and
although it did have heuristics of “interestingness”
built into it, its evaluations were often mistaken
by human standards. And some “adventurously”
transformational programs embody no evaluative
criteria at all, the evaluation is done interactively
by human beings.
There is no reason in principle why future AI
models should not embody evaluative criteria
powerful enough to allow them to transform their
conceptual spaces in fruitfully creative (including
H-creative) ways. But for such computerized self-
criticism to be possible, the programmers must be
able to express the values concerned sufficiently
clearly for them to be implemented. Even if the
values are not predetermined, being represented
instead as an evolving fitness function, the relevant
features must be implemented in and recognized
by the (GA) system.
To some extent, this can be achieved implicitly,
by defining a culturally accepted conceptual
space so successfully that any structure that can
be generated by the program will be accepted by
humans as valuable. But the structures generated
within newly transformed spaces will need types
of evaluation different (at least in part) from those
implicit within the original space, or previously
provided in explicit form.
It is even more difficult to express (verbally or
computationally) just what it is that we like about
a Bach fugue or an impressionist painting than it is
to recognize something as an acceptable member
of one of those categories. And to say what it is that
we like (or even dislike) about a new, or previously
unfamiliar, form of music or painting is even more
challenging.
25

TextronixAI
Top 10 Machine
Learning Start-ups
in 2021
VIJAYA BHASKAR R
Founder & CEO
T
extronixAI was started by a diverse
team of 7 professionals who came from
different Industries and had already
scripted successful careers. Their vision is to build
an Enterprise that is among the most admired
companies globally and is reflected in the way we
do business.
TextronixAI is a premier provider of full range
of information technology services for the agile
business. We combine Strategic Consulting,
process innovation, custom and package software
deployment and application monitoring to rapidly
deliver end-to-end business systems that create
immediate bottom-line impact for our clients to
achieve their business objectives.
Our outsourcing solution enables customer to gain
efficiency in operations, minimize costs, and keep
to a strategy of staying lean, flexible and nimble.
And best of all, we truly believe in collaboration
partnership to provide long term value to our
clients.
Our Vision
Build an organization with Global standards in
all aspects of business such as Quality, Innovation
and Relations.
Our Mission
We will achieve our goals by providing global
quality software solutions at competitive prices,
enhancing competitive advantage of customers, by
inspiring people to be innovative and by building
respectable and mutually beneficial partnerships
with our customers and vendors during this
continuous journey.
Our Core Values

• Client Centric: Our approach is focused on our
client: We are proud of always thinking in terms
of what is best for the client; offering solutions
that are not only theoretical but workable; and
being responsible for leading the client along
the path to success.
• Professional Excellence: We offer services of
superb quality based on our accumulated,
extensive and profound knowledge and
experience. As a true leader in the industry, we
also strive constantly to explore new services.
• Power of Diversity: We share a corporate culture
of mutually respecting individual capability,
and in turn, helping one another to grow. Our
growth is the client’s growth.
•
Collaboration/Collegiality: We amass all
Textronix’s individual capability into our
corporate power. In working as a team that
includes the client, we also share a common goal
with the client and take full advantage of each
other’s wisdom and experience. Our solutions
will necessarily be realistic and become an
intrinsic part of the client’s business.
• New Global Dimension: We know how to
proceed with our business, absorbing all
best practices in the world as our own while
respecting the locally prevailing value systems.
Our global and regional experience and network
enable us to offer services leading to the results
that are specific to the client.
For Strategic
Partnership
TextronixAI is a leading
global provider of
technologies that help
customers better manage
their IT environments; we
understand that no single
company - regardless of
size, reputation, or service
- can effectively supply
all aspects of a customer
solution. Therefore,
Textronix has formed strong
partnerships worldwide to create a
partner network that can effectively
deliver all elements of a complete Business Service
Management solution.
Leverage our technology and business expertise
to achieve rapid time-to-value while making your
organization stronger and more competitive in the
global business landscape.
• Artificial Intelligence & IOT
1. IT Services & Modernization
2. Enterprise Application Services
3. Analytics and Blockchain
4. Cloud Computing & Security
5. Digital Enterprise Solutions
• Areas of Expertise:
1. Cloud AIOT ERP/SCM
2. Machine & Deep Learning
3. Natural Language Processing
4. Image Processing & Video Analytics
5. Data Lakes & Cloud IoT
• Products
1. TextronixAI for Retail
2. TextronixAI for Healthcare
3.
TextronixAI for manufacturing and Supply
chain
4. EnterpriseBots
27

Top 10 Machine
Learning Start-ups
in 2021
TAI
TRINA DAS
Founder
T
AI is engineered for EXTREME academic success
by a team of instructional design experts from
Stanford, IIT Delhi, and IIT Kharagpur. TAI is all
about stronger roots, i.e., the basic fundamental skills taken
to a whole new level because we have proven again and
again over the years while implementing in some of the
best schools and universities across the world and turning
thousands of struggling students into exam toppers, that
when a student has a strong foundation, no obstacles or no
barriers can stop him from achieving his dreams
ABOUT US
We are a movement on a mission to reinvent fun and
excitement in learning and to help students master the
complicated study topics and thus unleash the potential of
the country as a whole. Join us on our mission to even the
odds for the future generations, one genius at a time.
Started with a hope to make studies easy by a young college
girl, it has taken over ten years of painstaking research
work since 2012, on how children study and grasps
concepts across the world and how can we use the internal
and external simulations to create mental models that
makes learning unbelievably fast and accurate for students
worldwide.
Our products cover the aspects that are vital attributes
of human personality: Memorization & Retention,
Mathematics, Logic & Concept understanding, and Life
Skills
We bring joy to learning so that TAI students start
performing in school like never before. No wonder, a huge
number of class toppers love us!
We make no small plans. We believe that unleashing the
maximum potential in every child is one of the highest
leverage actions we as a society can take to build a better
future. We won’t stop until every student in our country
graduates with clarity of concepts given not only in

textbooks but also in real life and are
ready to contribute to the world with
the highest level of confidence. And the
clock is ticking!! We have until 2030 (course
of one generation) to make it happen. Join us, if
you dare!!!
CORE TEAM
We are the souls dedicated to serving each child
with the best of learning experience possible. Our
team comprises of highly talented first-generation
entrepreneurs from Harvard, Stanford, IIT Delhi and
IIT Kharagpur with expertise in neuroscience research
and artificial intelligence applications in personalized
learning. Our team has worked very closely with
Washington DC curriculum development board and
Japan Government in the past to create curriculum
modules. Our team has a record of setting up education
centers/ master franchisees in various states/districts of
India, Zimbabwe, Lesotho, Mozambique, Democratic
Republic of Congo, Swaziland and Nigeria.
OUR IMPACT
TAI brings enormous social and economic impact by
ensuringfundamentalskilldevelopmentinstudents.We
have impacted lives of over 100000 students and their
families and turned many struggling students into class
toppers and their worried parents into proud parents.
Our product has worked in the costliest schools and
universities across the world and also in very poorest
communities, we have worked with smartest children
and also with students with severe learning disabilities,
we have been
recognized by
lakhs of parents who have
seen their children succeed
and also by Ex US President Barack
Obama in the White House in 2015.
OUR ACHIEVEMENTS &
RECOGNITIONS
We proved our business model and created thriving
entrepreneurs over and over again. Yes, you heard
it right! It was always the results that spoke for us
and it is always going to be that way. In fact, most of
our franchisees are either referred by an existing TAI
franchisee or were a parent or staff who has seen the
impact of TAI themselves. Our product and innovation
has won several international awards for its contribution
to education like-
• The prestigious 1776 Challenge Cup
• Top ten innovations – Bases, Stanford
• Fastest growing student entrepreneurship ventures –
EO GSEA
•
Best product in technology & sustainable
development – IIT Bombay
• Entrepreneur of the year Award 2018 - World
Education Summit
• “Incredible Social Impact” - President Barack Obama
in 2015
29

Shaip AI
Top 10 Machine
Learning Start-ups
in 2021
VATSAL GHIYA
Co-Founder, CEO
world’s best medical AI platform. The goal was to
organize medical data to improve patient care and
reduce healthcare costs.
Thefocuswasondevelopingproductsthatcustomer’s
loves that inspire and provide real value. After
14 years, 100s of customers, and millions of data
processed, the same passion drives Chetan, Vatsal,
and a family of 600+ team members.
Today, Shaip is a global leader and innovator in the
structured AI data solutions category. Our strength
is in the ability to bridge the gap between industries
with AI initiatives and the massive amounts of high
quality data they require.
The ultimate benefit Shaip provides to our clients
is the vast amounts of structured data to train AI
models with superior accuracy to achieve the highest
possible outcomes. And it’s all done right the first
time while adhering to the most demanding projects
specifications.
MISSION
Shaip is focused on delivering end-to-end AI
solutions that generate value, insights, and
intelligence at scale for our clients. It’s all made
OUR STORY
In 1994, Chetan Parikh and Vatsal Ghiya became
roommates and best friends as engineering students
at University of Massachusetts. In 2004, after both
working with Fortune 100 companies, they pursued
theirambitionandpassiontohelpimprovehealthcare
in the U.S. And this marked the beginning of Shaip.
This marked the start of a tremendous journey
that has brought together a team of top software
engineers, medical transcriptionists, data scientists,
researchers, and designers who set out to build the

possible through a unique combination of our human
in the loop platform, proven processes and skilled
people. With all this in place we can create, license
or transform unstructured data into highly accurate
and customized training data for companies with the
most challenging AI initiatives.
VISION
Shaip enhances human life by solving the problems of
the future using our two-sided AI data marketplace
& platform.
VALUES
• Eager to learn
• Proud
• Achievement
• What’s next insights
• Partnerships
We have the people, processes and a human-in-the-
loop platform to meet these challenging AI projects
and we do it all within your timeframe and budget.
This allows your organization and subject matter
experts to focus on your core strengths and get to
market faster; whether that’s local, regional or world-
wide.
WHY SHAIP?
Everything we do is specifically designed to deliver
the accurate training data you require. And we do it
faster and for a price that fits within your budget.
• Operational Excellence: Through our accurate
and proven data quality assurance process that
is integrated with technology, Shaip consistency
deliver best-in-class output that meets and often
exceeds client expectations for their AI initiatives.
• People, Process & Platform: The combination of a
worldwide global workforce, operational processes
designed by Six Sigma Blackbelts, a proprietary
workflow, and a cloud-based annotation platform,
Shaip has every tool required to help launch the
most demanding AI initiatives.
• End-to-End Solutions: You turned to Shaip for
gold-standard training data, but you will soon
discover we offer so much more. Our team of AI
experts located world-wide can help successfully
launch and guide your AI strategy. Add to this how
we can assist you with handling the most complex
architecture & development requirements of your
ML models.
31

Relevant features and
Relevant features and
examples in Machine
examples in Machine
Learning
Learning
A
s machine learning aims to address larger, more
complex tasks, the problem of focusing on
the most relevant information in a potentially
overwhelming quantity of data has become increasingly
important. For instance, data mining of corporate
or scientific records often involves dealing with both
many features and many examples, and the internet
and World Wide Web have put a huge volume of low-
quality information at the easy access of a learning
system. Similar issues arise in the personalization of
filtering systems for information retrieval, electronic
mail, Netnews, and the like.
The problem of irrelevant features
At a conceptual level, one can divide the task of concept
learning into two subtasks: deciding which features
to use in describing the concept and deciding how to
combine those features. In this view, the selection of
relevant features, and the elimination of irrelevant ones,
is one of the central problems in machine learning, and
many induction algorithms incorporate some approach
to addressing it.
At a practical level, an induction algorithm scales well to
domainswithmanyirrelevantfeatures.Morespecifically,
as one goal the number of training examples needed to
reach a desired level of accuracy, often called the sample
complexity, to grow slowly with the number of features
present, if indeed not all these are needed to achieve
good performance. For instance, it is not uncommon in
a text classification task to represent examples using lo4
to lo7 attributes, with the expectation that only a small
fraction of these are crucial.
In recent years, a growing amount of work
in machine learning-both experimental and
theoretical in nature-has focused on developing
algorithms with such desirable properties.
Induction algorithms differ considerably
in their emphasis on focusing on relevant
features. At one extreme lies the simple nearest-
neighbor method, which classifies test instances
by retrieving the nearest stored training example,
using all available attributes in its distance
computations. Although Cover and Hart showed
that this approach has excellent asymptotic
accuracy, a little thought reveals that the presence
of irrelevant attributes should considerably slow the
rate of learning.

In fact, Langley and Iba’s average-case analysis of
simple nearest-neighbor indicate that number of
training examples needed to reach a given accuracy
(similar to the PAC notion of sample complexity) grows
exponentially with the number of irrelevant attributes,
even for conjunctive target concepts. Experimental
studies of nearest-neighbor are consistent with this
discouraging conclusion.
At the other extreme lie induction methods that
explicitly attempt to select relevant features and
reject irrelevant ones. Techniques for learning logical
descriptions constitute the simplest example of this
approach, and there are more sophisticated methods
for identifying relevant attributes that can augment
and improve any induction method, including nearest-
neighbor. Theoretical and experimental results for these
methods are much more encouraging. For instance,
theoretical results show that if, by focusing on only a
small subset of features, an algorithm can significantly
reduce the number of hypotheses under consideration,
then there is a corresponding reduction in the sample
size sufficient to guarantee good generalization.
Somewhat in the middle of the above two extremes are
feature-weighting methods that do not explicitly select
subsets of features, but still aim to achieve good scaling
behavior.
These notions of relevance are useful from the viewpoint
of a learning algorithm attempting to decide which
features to keep and which to ignore. Features that
are strongly relevant are generally important to keep
no matter what, at least in the sense that removing a
strongly relevant feature adds ambiguity to the sample.
Features that are weakly relevant may or may not
be important to keep depending on which the other
features are ignored. In practice, one may wish to adjust
these definitions to account for statistical variations.
For instance, a special case of Definition 3 is that feature
X, is weakly relevant if it is correlated with the target
function, so given a finite sample, one would want to
account for variance and statistical significance.
33

Top 10 Machine
Learning Start-ups
in 2021
PRADEEP SAROOP
MD & CEO
Syberzen Infosec
Private Limited
S
yberzen applies next generation technology to
secure enterprises by using RIGHT weight cyber
security solutions. Our intent is to provide best-
in-class, niche security solutions with a clear sectorial
focus including our esteemed SMEs (Small & Medium
Enterprises). Syberzen’s mission is to provide scalable,
cost-effective, and flexible solutions that help improve
security posture and make organizations resilient.
Today organizations IT environment is moving
towards digital and rapid cloud adoption and hence
brings within its own problem of security challenges.
With more and more systems which interact both
with internal and external world, cyber risk has
increased many fold. We just cannot have preventive
approach anymore and have to move towards more
proactive and constant monitoring to identify and
prevent attack on IT Network and its infrastructure.
We deliver this through different delivery models
basically focusing on the depth and breadth of
coverage needed for your organization. Based on the
assessment of threat and the infrastructure that needs
to be monitored we will custom build your security
operations coverage.
Basic Coverage Solutions around anti-ransomware,

Email gateway, IPS/IDS, Firewall defense to
more advanced areas like Threat Hunting, User
Entity Behavior Analysis (UEBA), Response and
Remediation, End-Point Detection and Response
(EDR), Threat Intelligence and Threat Analytics &
predictive engine.
Our Services
Our light weight Cyber Security Services for
thorough protection is what is best for small and
medium sized enterprises. Our mantra is to keep
it simple, keep the investment small and do-it-
yourself guidance which will help you achieve
cyber resilience.
1. CISO-as-a-Service (CaaS): Providing Small and
Midsized Businesses with Virtual CISOs and
Cyber Risk Management Services. Our vCISO
advisory services are focused towards small and
medium enterprises to help top management
and technology teams to safeguard IT assets
used to deliver to its customers from business
risk, data security, and compliance and enhance
security posture of the organization.
Over the last few years, security challenges for
SMB organization has increased multifold and
we understand hiring a full time CISO might
be expensive and not budgeted for a full-time
position and also might
not need a full-time CISO
and hence our offering of vCISO
might be worth exploring.
2. Syberzen vCISO Offering: Since vCISO is a
specialized role, we deploy experts to do this
function as he/she needs to work closely with
top management and business stakeholders
and provide constant assessment of security
posture, Governance, Risk & Compliance
(GRC), Training to the employees, Risk
Assessment, Data Privacy Compliance, Security
Policy, Business Continuity Plan, VAPT and
Compliance with regulatory standards.
Since implementation of some of these need
teams to be deployed for delivering the results,
we at Syberzen also provide options to its clients
to leverage the same from us at attractive pricing
as bundled offering.
We recommend clients to leverage bundled
offerings to reduce cost and improve accountability
to manage risk. Please reach out to us to understand
more on comprehensive offerings based on the
depth and width of coverage needed for your
organization. We conduct a quick assessment of
your security needs and suggest what’s best for you.
Here are the key responsibilities of our vCISO,
who will own all outcomes and deliverables from
35

a holistic cyber security strategy and maintaining
target state of cyber maturity for the business.
Cyber Security and Resilience Strategy
and Execution Roadmap

Challenging for enterprises to build and
maintain infrastructure, intelligence, and
expertise outside of their core business.

Builds trust and maintains relationship with
all business stakeholders and create a security
culture and buy in amongst all the teams

Regular cyber security briefing to executives
and the board
 Evaluation of existing controls and track and
address deficiencies

Manage the enterprise’s cyber security team
including direct and indirect reports across
cyber & broader IT
 Lead an enterprise-wide cyber security and IT
risk management program

Oversee cyber security governance including
the cyber security advisory board

Uplift and embed cyber security and risk
management behaviors
 Manage and contain cyber security incidents
and events
 Presenting to executives and contribute to board
/ audit committees
 Ability to lead and motivate cross-functional,
interdisciplinary teams to achieve tactical and
strategic goals
 Deliver cyber security consultancy and advisory
services within the business

Drive commercial judgement to security
investment decisions
 Abilitytoarticulateacompellingvision,business
cases and influence business outcomes
ABOUT OUR COMPANY
Syberzen has been started with intent to
primarily help MSME market with cyber security
preparedness and monitoring their environment
to protect and remediate its security posture.
BENEFITS
 Complete Coverage: Our CaaS services give you
everything you need to continuously manage
your security program from start to finish.
We provide all the resources you need to be
successful
 Increase Efficiency: Utilize the leadership of a
vCISO and a complete information security
team. Outsourcing your security program helps
you build an effective program without adding
to your overall headcount

Immediate Impact: Working with a skilled
team with expertise in tailoring and launching
information security initiatives ensures your
program is completely built and operating
quickly
 Scalability: As your business continues to grow,
outsourcing provides unlimited opportunities
to scale your information security team
without the added complexity of training and
onboarding new resources

BLP Industry AI
Private Limited
Top 10 Machine
Learning Start-ups
in 2021
TEJPREET SINGH CHOPRA
Founder & CEO
B
harat Light & Power Pvt Ltd (BLP Group) is
one of the leading renewable energy generation
and technology companies in India. We build,
own and operate utility scale renewable energy power
plants to generate clean energy through wind and solar
technologies. We provide distributed solar solutions to
large corporates, industries and institutions in India.
Through our Orion platform, we provide monitoring,
reporting and predictive intelligence solutions across
industries all over the globe. Through our control center
in Bangalore we leverage big data, the cloud, mobility
and advanced analytics to help customers build smarter
operations
BLP VISION
Be the world’s technology leader in improving asset
performance and energy efficiency through big data
analytics
Industrial IoT at work

Data Ingestion and Processing: Collate, filter and
cleanse a vast spectrum of raw data from varied asset
classesandtypes,convertdataintousableinformation,

suitable for analysis.

Artificial Intelligence and Machine learning:
Leverage AI and ML to predict critical
component failures, breakdowns and other
abnormalities with the help of self-learning
models built on historical data.

Actionable Insights: Delivering asset-centric
and actionable insights for management and
technical personnel. Directly delivering bottom
line results.

Optimized Performance: Efficient lifecycle
management of your assets by monitoring
performance, reducing downtime, localizing
underperformance, improving energy
management, and extending their lifetime.
ORION APPLICATIONS
 Pulse: Real-time monitoring capability featuring
dashboards and operational KPIs to measure
and improve performance.

Publish: Automated, timely, and customised
reports that provide information at the click of
a button.
 Cognito: Transform data from varied sources
into actionable intelligence by employing big
data analytics and cognitive computing.
Predicto: Accurate energy generation forecasts
for regulatory compliance and operations
planning.

Workflow: Instant notifications that
facilitate effective communication across the
organization, improving response time and
asset performance.

Archive: One-stop-shop for access to
information and documents anytime, anywhere.
39

Top 10 Machine
Learning Start-ups
in 2021
Fliar Business
Intelligence Pvt Ltd
F
liar BI is constantly seeking opportunities
to make customer’s business smarter and
intelligent, with our new catalogue of AL & ML,
we are offering more robust & advanced services to
SMEs & startups with the subsidized price tag. Fliar
SMEs software is also now powered with AI & ML to
introducemoreautomatedself-controlandscalability
into your business. Fliar BI only narrowed its focus
to only three terms - Innovate, Automate and Scale.
And we think if these three terms come together, the
competition is just wiped out. We promise nobody
can match your quality, standardization, and speed!
Apply the real spirit of Analytics,
Intelligence, & Automation - Autopilot
Combinators
Fliar Autopilot combinators are the package of
advanced technologies like Business Intelligence
Tools, Big Data & Analytics, Artificial Intelligence &
Machine Learning Models, and Automation which
implemented to your business after conducting
an audit. This does change all the aspect of your
business and shift your business on autopilot. After
applying the Fliar BI scale up combinators you'll find
the following significant changes to your business.
1.
Ultimate Product Quality: With deep data
analytics, the most important consequences you
draw is perfection in your product quality and an
exact fit to the problem. Our algorithm will give
you the most insightful data about the audience’s
behavior toward your product.
2. 30 Min Maintenance: Businesses have hundreds of
aspects to be overlooked, monitored, and reported
daily which eats up all of your and your manager’s
time. Our Artificial Intelligence and Machine
Learning Algorithm will be capable to take charge
of these aspects.
3. Automate Repetitive Tasks: However, most of the
common business processes are already automated
with our Fliar BI software, upon audit of your
business we figure out all the process which can be
automated and are served upon implementation.
4. ZoominEverything:BigDataisagame-changerbe
it any aspect of business that allows you to look up
the most important insights about your customer’s
likes and dislikes, employees performance, market
adoption curve, or even what should be your next
step.
5. Management Automation: Powered with AI &
ML Fliar BI can track employee’s work time, their
productivity,automaticallyassigntasksdaily,order
them and prevent them from doing a specific task,
virtually communicate to customers, and much

more. What else? You just think the next!
6. Exponential ROI: Guaranteed, it may take
some time by our machine learning models
to understand your business process after 3-4
months, prepare to see massive changes.
Our Services for Startups & SMEs
Fliar BI offers an array of services as an elementary
and combinators form especially for small and
medium-sizedbusinesses.Thismeansyouareserved
small services like logo designing, website designing,
or app development as well as collections of small
services like Cloud Megashift which an umbrella
term for an array of services, web application
development, shifting business operations online,
API development, mobile app, etc. Some of the most
common Fliar Business Services are as follow:-
• Web Development: Fliar offers Web Development
Servicesforallnaturalsandanyscaleofbusinesses,
fromsmalla10pagesdynamicwebsitetocomplex
cloud architecting. We remain with you during
the journey from physically operating business to
scaling up to digitally smart enterprise.
• Software Development: However Fliar has
redeveloped solutions for most of the business, In
case you need specific development of software
for any business process - we can develop it for
you be it offline windows based, cloud-based,
Linux, or macOS-based.
• Mobile App:
Having a mobile
app for any business
is now a day vital asset for
any growing business. And if you
need to we can develop an Android App, IOS
(iPhone) App, or hybrid app that can run on both
platforms. That too we will publish on App stores
for you.
•
Management Software: We have advanced
Management Software solutions for all industries
powered with Artificial Intelligence and Data
Analytics features which give you a better
overlook of your business and helps you decide
further actions and ultimately drive your business
to a growth path.
• Consulting: Setting up something new with your
business or just starting it out. Having to get
consulted with a subject matter expert is always
a great choice which can save your time, money,
and most essentially the errors you could have
made. We specialized in Software Consulting,
Tech Consulting, and Business Consulting.
• Digital Marketing: Digital Marketing is a hot
avenueofreplicatingtheROIfromyourmarketing
campaigns expenses and drives quality customers
to your digital assets like websites and apps as
well as automated the processor marketing and
you could more time to focus on what matters the
most.
41

Neuromation - Synthetic
Data Platform For Deep
Learning Applications
A
Iisthego-totechnologyfortoday’sindustry
which inevitably benefits everyone and
makes processes even more efficient and
smarter. The application of AI can be seen in
practical problems in real life where extremely
impressive results have been achieved especially in
technologies that relate to vision, speech, machine
translation, as well as decision making.
Even if you move out of the scope of research and
development, AI is starting to gain a foothold
in many businesses’ processes, with important
processes such as database systems and user
queries being powered by AI. However, there are
inherent problems within the industry that needs
to be dealt with before it grows even bigger. The
learning process of AI and other machine learning
models is hindered by an overload of data that is
unlabeled and uncategorized.
These data can be classified but converting a
random dataset to a labeled dataset (a set of data
with classes or tags to inform or educate the
machine learning model) is very expensive and
time-consuming.
Because of this problem as well as differences
in businesses’ resources and processes, the gap
between early AI adopters and individuals who
adopt it much later will drastically widen, which
grants early adopters an unfair advantage over
others.
Neuromation is a platform designed for the AI
ecosystem. The platform offers a much-needed
solution to the industry which unites market
resources, the scientific community, as well as other
parties in an all-in-one, user-friendly marketplace.
The main focus of the Neuromation platform will
be on synthetic datasets that have been proven
time and time to yield compelling results for use
cases.
The use of synthetic datasets in machine learning
and other processes will significantly decrease the
cost of AI adoption as well as ease the process of
mass adoption by the public.
So, what does the platform really do?
The platform will utilize a smart combination of
datasets, decentralized computing power, as well
as advanced machine learning models to help AI
researchers across the globe connect with each
other.
In layman’s terms, Neuromation aims to build the
world’s most advanced AI data platform where
businesses can access the platform and library of
datasets to utilize and adopt AI technologies for
their own use.
There will be an integrated exchange within the
platform where users can either contribute or
purchase the components of an AI model with one
another; much like buying separate parts of a Lego
set to build one complete project.
The Neuromation platform moves one step
further ahead efficiency-wise by using distributed
computing as well as proof of work tokens to help
with the platform’s processes and transactions.
How does Neuromation work?
Neuromation aims to combine the components
needed to as well as synthetic data to build efficient
deep learning solutions—all of this to be done on
one platform.
Service providers registered on the platform

can provide specific resources for the execution
and development of the three key components:
synthetic data sets, distributed computing services,
as well as Neuromation’s machine learning models
(which will be explained further down below).
Here is an excerpt is taken from Neuromation’s
whitepaper that describes how the platform will
work:
“Imagine a place where you can go and easily
address all requests to acquire AI capability. A
vendor will create the data generator for you,
then a group of Neuromation Nodes will use the
generator to quickly create a massive virtual data
set. You can then select a set of Deep Learning
architectures to train on that data. Then another
group of Neuromation Nodes will do the training
in record time!”
The Neuromation core modules
Neuromation will consist of three core modules,
each with its own processes and libraries.
• Synthetic Dataset Module: Users have access
to the synthetic data set module which can
be utilized to create data generators, order
data sets from the data generator, as well as
requesting data labeling for models. Libraries
available in this dataset can be applied to deep
learning models and data generators, as well as a
library of datasets that can be acquired from the
platform’s integrated marketplace.
• Machinelearningmodule:Themachinelearning
module will include deep learning model
processes, importing models to the platform,
ordering training on selected data sets, as well as
acquiring custom models from the marketplace.
Like the synthetic dataset module, this module
will include deep learning models which can
then be offered on Neuromation’s marketplace.
• User module: Users can purchase tokens in
the user module as well as having access to
the platform’s services and the ability to use or
provide processing power to the network.
The user module will contain the user data and
user models library.
The back-end of the Neuromation platform will
also contain the Market Module which enables the
efficient matching of buying and selling orders for
datasets, models, and labeling services as well as
enabling liquidity in the system.
43

Top 10 machine learning startups in 2021 edition 2

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