The document introduces 'Ask on Data', a pioneering NLP-based data engineering tool that simplifies the creation of data pipelines through a chat interface, eliminating the steep learning curve of traditional ETL tools. It boasts benefits such as automatic documentation, significant cost savings on computation, and no requirement for technical expertise, enabling quick development. The tool is designed with enhanced data privacy, as it does not utilize third-party AI models and ensures secure, cloud-agnostic deployment.

1. World's first Chat based Data Engineering tool -
Powered by AI
Where Data Meets Simplicity
ASK ON DATA

2. • Any ETL/Data Engineering tool is difficult to use with a steep learning curve
• Dependence on good data engineers with high technical expertise including SQL,
Python, Scala etc (which is a scarce skillset)
• High computation cost: Snowflake charges a premium of 8X on the computation of
AWS/other cloud
• Lack of documentation on the various existing and new ETL jobs
• Lack of standardization within the created jobs by various developers
• High resources cost (data engineers)
• Time consuming to develop anything with existing set of ETL tools
The Problem

3. The Solution
"The hottest new programming language is English." - Andrej Karpathy
Introducing - “Ask On Data” – World’s first NLP based Data Engineering Tool (powered by ML & AI)
Chat interface to create Data Pipelines.
Simply type ? and get it done
USP of Ask On Data:
No Learning curve.
Automatic Documentation
Huge saving in infra cost by taking out computing from
costly Snowflake servers. (Snowflake charges 8X premium
on computing over the cloud vendor charges)
Note: ChatGPT (or similar tools) not being used. Custom developed proprietary ML & AI model, thus ensuring enhanced data privacy
No technical knowledge required.
Anyone can use
Super fast speed of development. Data
engineering at the speed of typing

4. The Solution
"The hottest new programming language is English." - Andrej Karpathy
Introducing - “Ask On Data” – World’s first NLP based Data Engineering Tool (powered by ML & AI)
Note: ChatGPT (or similar tools) not being used. Custom developed proprietary ML & AI model, thus ensuring enhanced data privacy

5. 5 hours 25 mins
10 resources 2 resource
5+ years of exp 0-1 Fresher
15+ Lakhs/yearly salary (INR) 4 Lakhs/yearly (INR)
Transformatio
n
Expertise
Resource
Cos
t
Tangible Benefit
Client Use Case (Brightbyte)?Description: Collecting 2 flat files, transformations in the files with formatting and
conversion, bringing to singular format, union them and then load to DB.??
OTHER ETL TOOLS

6. Intangible Benefit
Reduced time to market Cost saving Faster rollout Improved efficiency

7. ARCHITECTURE
• Deployment: cloud agnostic deployment
• Sources / destination : can be a database or flatfiles
• Jobs is the data pipeline which gets executed at a specific
frequency or time or event
• Scheduling module helps in scheduling the data transformation
job
• Conversational interface helps a user to interact in natural English
language and create the pipeline
• Monitor helps in monitoring the status

8. SECURITY
• BYOD model (Bring your own cloud). Deployment at your choice of cloud
• Inherent security of those cloud vendors
• No data being captured or shared or going outside your servers
• No third party plugins like ChatGPT etc are being used. No data sharing happening with any other
vendor

9. Contact Information
Thank You
support@askondata.com
nikhilesh@helicaltech.com
+91-7893947676