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luminovo @ NOAH 2019
Cognitive Process Automation
 @NOAHConference
 @noah_conference
 @noah-conference
 @NOAHConference
FOLLOW USONSOCIAL
TIMON RUBANSEBASTIAN SCHAAL
Our team is our (not so secret) weapon
TIMON RUBANSEBASTIAN SCHAAL
8 rockstar engineers
8 business talents
Our team is our (not so secret) weapon
We help companies solve business problems related to images and text!
What luminovo has been doing so far
Consulting Solution Development
Profitable and 100% bootstrapped
LABELING EXTRACTIONMONITORING
We created substantial value for clients
Youth
protection
screening
ID
authentication
via video
96% in costs per ID 60% automation rate
Other happy clients
Functional chip
verification
60% in R&D costs
Co-Processing
By that, we build our Hybrid Technology as a
cornerstone for Cognitive Process Automation
Full Automation
Cognitive Process Automation
by our
Hybrid Technology
suited for
human-centered workflows
suited for
real-time cases
Faster
deployment &
market
readiness
Four key advantages when using our Hybrid
Technology for Co-Processing
Seamless
process
integration
Client IP & data
ownership
Continuously
learning
& adapting
Client
Luminovo
Stepwise offline
learning
Co-processing
learning
$29bn
by 2026
How our solution compares to the workflow
automation market
$29bn
by 2026
Labelling Platform
Providers
How our solution compares to the workflow
automation market
Labeling first
$29bn
by 2026
Labelling Platform
Providers
Cloud Service
Providers
How our solution compares to the workflow
automation market
Labeling first Developer tools
$29bn
by 2026
Robotic Process
Automation
Labelling Platform
Providers
Cloud Service
Providers
How our solution compares to the workflow
automation market
Labeling first
Click-flow problems
Developer tools
$29bn
by 2026
Robotic Process
Automation
Labelling Platform
Providers
Cloud Service
Providers
Data-type
Specific Solutions
How our solution compares to the workflow
automation market
Labeling first
Click-flow problems Mostly legacy
Developer tools
$29bn
by 2026
Robotic Process
Automation
Labelling Platform
Providers
Cloud Service
Providers
Data-type
Specific Solutions
We value model ownership and IP of the client
How our solution compares to the workflow
automation market
Labeling first
Click-flow problems
Developer tools
Mostly legacy
We are now focusing on co-developments with
established partners to push for productization
Vertical Horizontal
We are now focusing on co-developments with
established partners to push for productization
Vertical Horizontal
Health Legal Insurance
We are now focusing on co-developments with
established partners to push for productization
Vertical Horizontal
Health Legal Insurance
Document
Mining
We are now focusing on co-developments with
established partners to push for productization
Vertical Horizontal
Health Legal Insurance
Document
Mining
All leveraging our Hybrid Technology
Finish evaluating our
co-developments
within the next 6
months
Fix our
growth
strategy
Raise growth
capital by
end of 2019
We are on the road towards product-first
Sebastian Schaal
Founder
sebastian@luminovo.ai
APPENDIX
At luminovo.ai we focus on deep learning
Program that performs
tasks normally requiring
human intelligence.
AI systems that
learn from
experience /
data.
ML systems that
use (deep) artificial
neural networks.
Rule-based
systems
Artificial Intelligence
Machine Learning
Deep Learning
Traditional ML,
Statistical
methods
We are completely bootstrapped and growing rapidly
Quarterly Net Revenue (EUR thousands)
0
50
100
150
Q1 (2018) Q2 (2018) Q3 (2018) Q4 (2018)
200
250
159
76
35
22
189
Q1 (2019)
121
176
Q2 (2019)
300
Our solution scope
We help corporations to integrate AI into their core products and business processes
Activity
Recognition
Image Classification
& Segmentation
Object Tracking
& Detection
Computer Vision
Entity
Recognition
Document
Classification
Content
Extraction
Natural Language Processing
Anomaly
Detection
Time Series
Analysis
Other
Automated
Control
Infineon designs and produces chips. Chip
verification requires lengthy testing to reach
functional coverage.
We built an unsupervised novelty detection
algorithm that reduced redundancy in
simulations.
60%
in R&D costs
3 months
earlier time to market
2.4mn
computational
hours saved
We save time and money in production
CASE STUDY IN ELECTRONICS
IDNow verifies ID Documents. They did this by
live video authentication with human experts.
We built a deep learning model that checks the
validity of holograms from video to prevent fraud.
96%
in costs per ID
from €2.5 to €0.1
New product line
AutoIdent
New market:
cheaper product,
higher margins
We create the opportunity to enter new markets
CASE STUDY IN SECURITY
ProSiebenSat.1 needs to scan media content for
nudity. They do it by sampling and risk incurring
huge fines.
We built a model that automatically scans nudity
in all media content and gets feedback from
humans to keep learning.
30%
automation rate from
first model
2 months
to build and integrate a
ready-to-deploy model
We make existing workflows easier, and smarter
CASE STUDY IN MEDIA
Input Output
Galileo 27.02.2019 - Scene 177
Partial Nudity
Raw Nudity
Blood Violence
SS-bolts
General Violence
Swastika
Other nationalist sym.
Safe content
Standard workflow
DL Model
Confidence
Threshold
Data & Model
Mgmt
Galileo 27.02.2019 - Scene 177
Raw Nudity
20%
Partial Nudity
70%
Other
10%
Input Output
The hybrid system continuously learns solely by human feedback!
Supercharged with Hybrid Learning
We support during the whole deep learning cycle.
MODEL
ARCHITECTURE
MODEL
TRAINING
MODEL
EVALUATION
DATA
SOURCING
DATA
LABELING
DATA
VERSIONING
MODEL
VERSIONING
MODEL
DEPLOYMENT
PREDICTION
MONITORING
SCALING
HARDWARE
We rely on open source frameworks, introducing best-practices for our clients
MODEL
ARCHITECTURE
MODEL
TRAINING
MODEL
EVALUATION
DATA
VERSIONING
MODEL
VERSIONING
MODEL
DEPLOYMENT
PREDICTION
MONITORING
SCALING
HARDWARE
We continuously improve the model without changing the workflow of the user.
Our platform manages the cycle behind the scenes.
luminovo hybrid learningprevious workflow
DATA
SOURCING
DATA
LABELING
labeling
frontend
scanning
documents

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luminovo.ai - NOAH19 Berlin

  • 1. luminovo @ NOAH 2019 Cognitive Process Automation
  • 2.  @NOAHConference  @noah_conference  @noah-conference  @NOAHConference FOLLOW USONSOCIAL
  • 3. TIMON RUBANSEBASTIAN SCHAAL Our team is our (not so secret) weapon
  • 4. TIMON RUBANSEBASTIAN SCHAAL 8 rockstar engineers 8 business talents Our team is our (not so secret) weapon
  • 5. We help companies solve business problems related to images and text! What luminovo has been doing so far Consulting Solution Development Profitable and 100% bootstrapped LABELING EXTRACTIONMONITORING
  • 6. We created substantial value for clients Youth protection screening ID authentication via video 96% in costs per ID 60% automation rate Other happy clients Functional chip verification 60% in R&D costs
  • 7. Co-Processing By that, we build our Hybrid Technology as a cornerstone for Cognitive Process Automation Full Automation Cognitive Process Automation by our Hybrid Technology suited for human-centered workflows suited for real-time cases
  • 8. Faster deployment & market readiness Four key advantages when using our Hybrid Technology for Co-Processing Seamless process integration Client IP & data ownership Continuously learning & adapting Client Luminovo Stepwise offline learning Co-processing learning
  • 9. $29bn by 2026 How our solution compares to the workflow automation market
  • 10. $29bn by 2026 Labelling Platform Providers How our solution compares to the workflow automation market Labeling first
  • 11. $29bn by 2026 Labelling Platform Providers Cloud Service Providers How our solution compares to the workflow automation market Labeling first Developer tools
  • 12. $29bn by 2026 Robotic Process Automation Labelling Platform Providers Cloud Service Providers How our solution compares to the workflow automation market Labeling first Click-flow problems Developer tools
  • 13. $29bn by 2026 Robotic Process Automation Labelling Platform Providers Cloud Service Providers Data-type Specific Solutions How our solution compares to the workflow automation market Labeling first Click-flow problems Mostly legacy Developer tools
  • 14. $29bn by 2026 Robotic Process Automation Labelling Platform Providers Cloud Service Providers Data-type Specific Solutions We value model ownership and IP of the client How our solution compares to the workflow automation market Labeling first Click-flow problems Developer tools Mostly legacy
  • 15. We are now focusing on co-developments with established partners to push for productization Vertical Horizontal
  • 16. We are now focusing on co-developments with established partners to push for productization Vertical Horizontal Health Legal Insurance
  • 17. We are now focusing on co-developments with established partners to push for productization Vertical Horizontal Health Legal Insurance Document Mining
  • 18. We are now focusing on co-developments with established partners to push for productization Vertical Horizontal Health Legal Insurance Document Mining All leveraging our Hybrid Technology
  • 19. Finish evaluating our co-developments within the next 6 months Fix our growth strategy Raise growth capital by end of 2019 We are on the road towards product-first
  • 22. At luminovo.ai we focus on deep learning Program that performs tasks normally requiring human intelligence. AI systems that learn from experience / data. ML systems that use (deep) artificial neural networks. Rule-based systems Artificial Intelligence Machine Learning Deep Learning Traditional ML, Statistical methods
  • 23. We are completely bootstrapped and growing rapidly Quarterly Net Revenue (EUR thousands) 0 50 100 150 Q1 (2018) Q2 (2018) Q3 (2018) Q4 (2018) 200 250 159 76 35 22 189 Q1 (2019) 121 176 Q2 (2019) 300
  • 24. Our solution scope We help corporations to integrate AI into their core products and business processes Activity Recognition Image Classification & Segmentation Object Tracking & Detection Computer Vision Entity Recognition Document Classification Content Extraction Natural Language Processing Anomaly Detection Time Series Analysis Other Automated Control
  • 25. Infineon designs and produces chips. Chip verification requires lengthy testing to reach functional coverage. We built an unsupervised novelty detection algorithm that reduced redundancy in simulations. 60% in R&D costs 3 months earlier time to market 2.4mn computational hours saved We save time and money in production CASE STUDY IN ELECTRONICS
  • 26. IDNow verifies ID Documents. They did this by live video authentication with human experts. We built a deep learning model that checks the validity of holograms from video to prevent fraud. 96% in costs per ID from €2.5 to €0.1 New product line AutoIdent New market: cheaper product, higher margins We create the opportunity to enter new markets CASE STUDY IN SECURITY
  • 27. ProSiebenSat.1 needs to scan media content for nudity. They do it by sampling and risk incurring huge fines. We built a model that automatically scans nudity in all media content and gets feedback from humans to keep learning. 30% automation rate from first model 2 months to build and integrate a ready-to-deploy model We make existing workflows easier, and smarter CASE STUDY IN MEDIA
  • 28. Input Output Galileo 27.02.2019 - Scene 177 Partial Nudity Raw Nudity Blood Violence SS-bolts General Violence Swastika Other nationalist sym. Safe content Standard workflow
  • 29. DL Model Confidence Threshold Data & Model Mgmt Galileo 27.02.2019 - Scene 177 Raw Nudity 20% Partial Nudity 70% Other 10% Input Output The hybrid system continuously learns solely by human feedback! Supercharged with Hybrid Learning
  • 30. We support during the whole deep learning cycle. MODEL ARCHITECTURE MODEL TRAINING MODEL EVALUATION DATA SOURCING DATA LABELING DATA VERSIONING MODEL VERSIONING MODEL DEPLOYMENT PREDICTION MONITORING SCALING HARDWARE We rely on open source frameworks, introducing best-practices for our clients
  • 31. MODEL ARCHITECTURE MODEL TRAINING MODEL EVALUATION DATA VERSIONING MODEL VERSIONING MODEL DEPLOYMENT PREDICTION MONITORING SCALING HARDWARE We continuously improve the model without changing the workflow of the user. Our platform manages the cycle behind the scenes. luminovo hybrid learningprevious workflow DATA SOURCING DATA LABELING labeling frontend scanning documents