Howrah, West Bengal

AI Integration & AI Product Development in Howrah.

RAG pipelines and autonomous LLM workflows built into your product. Mojo Studio delivers ai products for founders and businesses in Howrah, senior engineers only, weekly demos, full IP ownership.

How we build it

Built right,
shipped fast.

We integrate production-grade AI into real products — custom RAG pipelines over your own data, autonomous LLM agent workflows, and semantic search, built with the same engineering rigor as the rest of your stack. This isn't a chatbot bolted onto a landing page; it's AI wired into your actual product logic, with the guardrails to keep it from hallucinating in front of customers.

Custom RAG pipelines over your own data
LangChain / LangGraph agent workflows
Semantic search & vector database integration
Guardrails against hallucination in production
Local context

Built for Howrah's market.

Howrah sits directly across the Hooghly River from Kolkata and functions as its industrial twin — the city built its identity on foundries, small hardware manufacturing, and engineering workshops clustered around Howrah railway station, one of the busiest and oldest terminals in India. Its economy leans heavily on MSME manufacturers producing locks, pumps, castings, and light engineering goods for domestic and export markets, most of which still run on manual order books and offline distributor networks. That leaves real room for a studio to build first-time inventory, ordering, and B2B catalog systems for family-run manufacturing businesses rather than competing for polish work on already-digital products.

Howrah's foundries & castings and light engineering & hardware manufacturing businesses have specific needs when it comes to ai products — this is the local context that shapes how we scope every Howrah engagement, not a generic playbook applied everywhere.

Foundries & castingsLight engineering & hardware manufacturingRail & logistics (Howrah Junction)MSME export trade
Our Process

From brief to launch.

01

Use-case scoping — where AI actually adds value vs. hype

02

Data pipeline & vector store architecture

03

Model integration (OpenAI, Gemini, Claude, or fine-tuned)

04

Evaluation, guardrails, and production monitoring

Common Questions

AI Products FAQ.

Grounded retrieval (RAG) over your actual data, tight prompt scoping, output validation layers, and explicit fallback behavior when the model isn't confident — hallucination is a design problem, not something you patch after launch.

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