AadhyaX logoAADHYAX
AI & Automation

Custom AI Development Company for Businesses Worldwide

We build AI agents, copilots and retrieval-grounded systems that solve a specific business problem and survive production traffic.

Most AI projects stall between a promising demo and a dependable product. AadhyaX engineers the part in between: data pipelines, retrieval, evaluation, guardrails, cost control and the application around the model.

We work with founders and operations teams across India and around the world to find the workflows where AI genuinely saves hours, then build and measure them. Multilingual use cases, including Telugu, Tamil, Kannada and Malayalam, are a regular part of our work.

What we build

AI Development capabilities

  • 01

    AI agents & copilots

    Task-oriented agents that call your internal APIs, follow business rules and hand off to people when confidence is low.

  • 02

    RAG & knowledge assistants

    Retrieval-augmented generation over your documents, tickets and databases, with chunking, citations and access control built in.

  • 03

    Generative AI features

    Structured generation, summarisation, classification and extraction embedded inside your existing product.

  • 04

    Multilingual AI

    Assistants and content engines that work in English and regional Indian languages, with language routing and deduplication.

  • 05

    Model evaluation & ops

    Test sets, regression evals, latency and token-cost dashboards so quality is measured, not guessed.

How we deliver

A process built for dependable software

  1. STEP 1

    Find the workflow

    We map where time and money leak, pick one measurable use case and define what a good answer looks like before any model is chosen.

  2. STEP 2

    Build with evals

    Prompts, retrieval and tools are developed against a written evaluation set so every change is compared with the last one.

  3. STEP 3

    Harden for production

    Rate limits, retries, queueing, quota management, observability and human-in-the-loop review before launch.

Every engagement follows the AX Method™ and the AX Standard™: documented architecture, typed and tested code, security review and observable deployments.

Technology

Tools we work with

  • Python
  • FastAPI
  • LangChain
  • Google Gemini
  • OpenAI
  • Anthropic Claude
  • PostgreSQL / pgvector
  • TypeScript
  • AWS
Proof

Related case studies

Guides

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FAQ

AI Development: frequently asked questions

How much does custom AI development cost?

It depends on scope. A focused AI feature or internal assistant is typically a few weeks of engineering; a full multi-workflow platform takes longer. We scope after a short discovery call and give a fixed plan with milestones rather than an open-ended estimate.

Can you add AI to our existing software?

Yes. Most of our AI work extends an existing product or process: we expose the model behind a clean API, connect it to your data and add the review and monitoring layers around it.

Do you build AI that works in Telugu, Tamil, Kannada or Malayalam?

Yes. We have built multilingual generation and assessment pipelines with language routing, normalisation and deduplication. We test quality per language rather than assuming English performance carries over.

Who owns the models, prompts and data?

You do. Code, prompts, evaluation sets and infrastructure are delivered to accounts you control, with documentation so another team can pick them up.

Industries

Sectors we build for

Related services

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