Turn weeks of manual document review into days — every extracted value traced back to its exact page in the source file.
Working with teams at
NHPC
Indian Oil
Maruti Suzuki
TSR Labs
We are a document AI company specialising in automating document-heavy workflows.
Built for enterprise procurement, sales, and engineering teams.Our system only reads what is on the page. If a detail is not in your document, it's flagged as missing rather than filled in.
Every extracted value links directly to the exact page and sentence in your original document, highlighted in color.
Runs entirely inside your own company's private servers. Your data never leaves your network.
Turns unstructured documents into clean, structured data your ERP, PLM or internal agents can act on directly.
Emails come in, prices go out. Automatically read incoming sales requests, find matching parts in your catalogue, and draft accurate quotes in seconds.
Extracts quantities, part numbers, and delivery dates from customer emails and spreadsheets.
Checks stock levels in your database and applies specific customer pricing rules automatically.
Unlock the data hidden inside design blueprints. Extract part lists, drawing titles, and component notes from complex engineering PDFs into clear spreadsheets.
Locates and transcribes the title blocks, revision histories, and parts lists found on design sheets.
Links drawing bubbles to part lists so your database gets a complete recipe of materials to build the product.
| Part # | Qty | Match |
|---|---|---|
| VL-X2-99 | 2 | ✓ 100% |
| CB-10-AC | 1 | ✓ 100% |
Built by engineers with enterprise AI experience.
Viswarup studied engineering at IIT and completed his Master's in the United States. He worked as a Data Scientist building machine learning systems before starting Grokking. At the company, he leads AI research and engineering — designing the document extraction and evaluation pipelines that sit at the core of every product.
Viswapriya holds a Master's in Data Science from NJIT. Before co-founding Grokking, he worked as a Data Scientist focused on data pipelines and analytics. He now handles product strategy, customer relationships, and business development — working closely with enterprise teams to shape the products around real workflow needs.
The same document-AI craft we deploy for enterprises, taught hands-on. Ship 3 real agents in 6 weeks.
Explore the course →Ready to automate your document workflows or have any questions? Tell us about your use case and our team will get in touch with you shortly.
Delhi NCR, India