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OneLabX

AI Development

AI development for products and operations that need to think.

OneLabX is an AI development company that designs and builds AI into real products and workflows. We combine large language models, retrieval, classical machine learning and solid software engineering so that what we ship is accurate, observable and maintainable — for teams in India and internationally.
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01The challenge

Most AI pilots never reach production.

A demo built on a prompt and an API key is easy. A system that gives reliable answers on your data, respects permissions, stays within budget and can be improved over time is not.

Teams stall on the same issues: hallucinated answers, unclear evaluation, sensitive data, unpredictable costs and no plan for monitoring once real users arrive.

02Our approach

How we deliver AI development.

  1. 01

    Frame the use case

    Define the decision or task the AI supports, the data it needs and how success will be measured before any model is chosen.

  2. 02

    Prototype against real data

    A narrow, working prototype on your own documents or records — tested with an evaluation set, not anecdotes.

  3. 03

    Engineer for production

    Retrieval, guardrails, access control, caching and cost controls built into a proper application architecture.

  4. 04

    Measure and improve

    Tracing, feedback capture and regression evaluations so quality improves release by release.

03Capabilities

What we build.

  • LLM application development

    Applications built on OpenAI, Anthropic, Google Gemini or open models, with model choice driven by quality, latency and cost.

  • RAG application development

    Retrieval-augmented generation over documents, databases and APIs, with chunking, hybrid search and citations tuned to your content.

  • AI copilots and assistants

    In-product assistants that understand user context and help people complete tasks faster.

  • AI chatbot development

    Grounded conversational assistants for customers or staff — with hand-off to humans when confidence is low.

  • Document and data extraction

    Turning contracts, invoices, emails and forms into structured, validated data.

  • Evaluation and guardrails

    Test sets, automated scoring, red-teaming and policy checks so behaviour is measured rather than assumed.

Deliverables

  • Use-case definition and success metrics
  • Model and architecture recommendation
  • Production AI application or API
  • Evaluation suite and quality dashboard
  • Security, privacy and cost controls
  • Runbook and hand-over documentation

Typical use cases

  • Knowledge assistants over internal documentation
  • Customer-facing support assistants
  • Contract, invoice and claims processing
  • Semantic search across products or records
  • AI features inside an existing SaaS product

Technology expertise

  • OpenAI
  • Anthropic
  • Google Gemini
  • LangChain
  • LlamaIndex
  • pgvector
  • Python
  • TypeScript

Listing implies no partnership or certification.

04FAQ

Common questions.

Ask us something else
Which AI models do you work with?

We are model-agnostic. We regularly work with OpenAI, Anthropic and Google Gemini models as well as open-weight models, and choose based on accuracy on your task, latency, cost and data-handling requirements.

Can the AI use our private data safely?

Yes. We design retrieval and access control so the system only sees data a user is allowed to see, keep sensitive data out of prompts where possible, and select providers and deployment options that match your compliance needs.

How do you stop the AI from making things up?

By grounding answers in retrieved sources, asking the model to cite them, measuring faithfulness with an evaluation set and designing a fallback when the system is not confident.

Do you work with companies outside India?

Yes. We work with clients in India and internationally, and run engagements remotely with overlapping working hours agreed at the start.

05Explore further

Related services, solutions and insights.

Your next chapter starts with a conversation

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