Durg, Chhattisgarh

AI Integration & AI Product Development in Durg.

RAG pipelines and autonomous LLM workflows built into your product. Mojo Studio delivers ai products for founders and businesses in Durg, 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 Durg's market.

Durg is the older, more commercially independent half of the Bhilai-Durg twin-city belt, functioning as a regional trading and railway-junction town even before Bhilai Steel Plant existed. Its economy today mixes agricultural trade for the surrounding Chhattisgarh plains with retail and services supporting the adjacent steel-plant workforce, giving it a broader small-business base than Bhilai's more single-industry profile. Local traders and retailers here are largely still offline, representing straightforward first-digital-presence opportunities rather than complex platform migrations.

Durg's agricultural trade and retail & wholesale businesses have specific needs when it comes to ai products — this is the local context that shapes how we scope every Durg engagement, not a generic playbook applied everywhere.

Agricultural tradeRetail & wholesaleRailway logisticsSmall-scale manufacturing
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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