aimbytes
Case study
Work / 02

DocAI

AI SaaS for chatting with your documents, live on the web; the mobile app is in development.

DocAI logo
The problem

DocAI’s users work with long contracts, reports and manuals, and finding one answer meant reading every page. They needed a product that takes any document, understands it, and answers questions about it in plain language, on the web and on a phone.

What we did

  1. 01

    Grounded every answer in the uploaded document through the OpenAI API, so replies come from the user’s own file, not the model’s general knowledge.

  2. 02

    Ran document processing in Python services beside a Node.js API, so heavy parsing never slows the app down.

  3. 03

    Kept documents and conversations in MongoDB, so a user’s history is there when they come back.

  4. 04

    Building a React Native app with on-device TensorFlow Lite for camera scanning, so a paper document can be captured straight from a phone.

Results

80%

of customer inquiries handled automatically by the chatbot, as reported by DocAI

private build
DocAI screenshot

Stack: React, Node.js, Python, MongoDB and the OpenAI API on the web; React Native and TensorFlow Lite on mobile

“The AI integration they implemented transformed our business processes. The chatbot they built handles 80% of our customer inquiries automatically. Truly game-changing work.”
Archita

CTO, DocAI

Next step

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