Founder-led AI development studio

AI systems that actually make it to production.

I work with founders and small teams to turn AI ideas into working software, from early prototypes to reliable, production-ready systems. No hype, no oversized teams, just focused engineering.

Founder-ledProduction-focusedModern AI stackRemote-first (India)

What I build

What services does AmrutamAI provide?

AmrutamAI builds AI chatbots, RAG-based knowledge systems, AI agents, and business automation solutions — including no-code and low-code workflows using tools like n8n. I also develop fully custom AI software when deeper engineering is required. Every solution is designed to integrate with your current tools and run reliably in production.

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AI Chatbots & Assistants

Customer support bots, internal knowledge assistants and AI copilots.

RAG Applications

Document search and knowledge systems powered by retrieval-augmented generation.

AI Agents, Automation & No-Code Workflows

AI agents and business process automation using tools like LangChain, CrewAI and n8n.

Custom AI Software

End-to-end AI SaaS products, dashboards and internal tools.

Selected Work

Real-world AI systems built for production.

LedgerAI

Financial document intelligence powered by RAG pipelines.

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CropToolz

Computer vision system for crop monitoring and yield prediction.

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ReWear

AI-powered recommendation engine for sustainable fashion.

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Development Process

Structured. Transparent. Production-ready.

Step 1

Discovery

Step 2

Planning

Step 3

Design

Step 4

AI Development

Step 5

Testing

Step 6

Deployment

Step 7

Ongoing Support

Why founder-led

Direct collaboration. No layers.

You work directly with the engineer building your system. Clear communication, practical architecture decisions, and transparent scope from day one.

  • Direct access to the builder
  • Clean, maintainable architecture
  • Practical solutions over slide decks
  • Transparent scope and pricing

Focused execution

Clear scope. Fast feedback cycles.

Security-conscious

Designed with privacy and data integrity in mind.

LLM expertise

Hands-on experience building RAG and agent systems.

Full-stack delivery

Backend, frontend, AI and deployment handled end-to-end.

Technology Stack

Modern AI infrastructure.

ReactFastAPIDjangoLangChainCrewAIOpenAIGeminiQdrantDockerAWS / GCP

FAQ

Common questions.

How long does an AI project take?

It depends on scope, but most projects land somewhere between 4 and 12 weeks. Smaller automation builds move faster, while deeper integrations need more planning.

Do you work with startups?

Yes — especially early-stage founders building AI-powered products or internal tools for their teams.

Can you integrate AI into existing software?

Absolutely. Most systems are built as APIs or modular services so they plug into your current stack without forcing a rebuild.

Have a real AI problem to solve?

If you're exploring AI seriously — not just experimenting — let's talk. Every inquiry is reviewed personally.