Cuttack, Odisha

AI Integration & AI Product Development in Cuttack.

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

Cuttack was Odisha's capital for nearly a millennium before Bhubaneswar took over in the 1950s, and it retains the state's commercial core — it's still where most of Odisha's wholesale trade, banking, and jewelry business is concentrated, including the city's famous silver filigree (Tarakasi) craft industry. Textile and rice trading houses run alongside a dense retail and jewelry market, most operating through traditional dealer networks rather than e-commerce. Its proximity to Bhubaneswar means digital talent is accessible, but very few local firms have moved past basic websites, leaving genuine first-generation digitization demand.

Cuttack's silver filigree & jewelry (tarakasi craft) and wholesale & textile trade businesses have specific needs when it comes to ai products — this is the local context that shapes how we scope every Cuttack engagement, not a generic playbook applied everywhere.

Silver filigree & jewelry (Tarakasi craft)Wholesale & textile tradeRice & agro tradeBanking & commerce
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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