AI development company in India. Outcome-scoped. Technically focused. Global clients.

Expert AI engineering with transparent, outcome-based pricing.

The AI engineering market in the US and Europe has hit a price ceiling that makes real ownership economics difficult for anyone outside the top of the funding stack. India has deep applied-ML talent, serious production engineering discipline, and an async-first culture that fits how modern AI teams ship. Operonn combines that with outcome-scoped pricing — a fixed number against a fixed scope and a fixed timeline. No hourly billing. No time-and-materials drift. No offshore staff-aug model.

• Kolkata-based team with deep applied AI, ML, and product engineering expertise.
• Remote-first, async-friendly engagements across North America, Europe, MENA, and APAC.
• Fixed scope, fixed price, fixed timeline — priced on outcome, not on hours.
• IST overlap with both US and European business hours for live sessions.

Custom AI systems. Voice agents. RAG. Applied ML.

We scope AI engagements around a single workflow that decides revenue, margin, or cost base. Intake agents, classification systems, retrieval platforms, voice agents, analyst copilots, anomaly detection, process automation. Every system ships with evaluation harnesses, regression tests, and monitoring as production code. You own the code, the infrastructure, the models, and the evals — we are not a hosted-SaaS lock-in.

• Custom LLM applications and AI agents with tool use and multi-step reasoning.
• Retrieval-augmented generation (RAG) with hybrid retrieval and citation grading.
• Multilingual voice AI agents — English, Hindi, Bengali and more — with barge-in handling.
• Applied ML pipelines: classification, scoring, anomaly detection, routing.

Scoped in one conversation. Shipped in weeks.

Every engagement starts with one question — what number moves, by how much, and how soon? We reply within two working days to set up a thirty-minute call. If there is a fit, a written one-page scope follows within a week. First working software ships in week two or three. The target metric is measured by the end. If the metric does not move, we stop and rethink — honestly.

• Written one-page scope with a target metric, deliverables, timeline, and success criteria.
• First working version in 2–3 weeks. Weekly check-ins on working software, not slides.
• Engagement ends on measurement — not on invoice cycles.
• Mutual NDAs at scoping. Most of our portfolio sits under NDA.

Companies building AI for production impact.

Our clients are typically product and engineering leaders looking for a technical partner to build AI systems that perform reliably in production. We also work with founders of early-stage AI-native products who need a focused team to ship the first production version on a practical timeline. Industry-agnostic by design — healthcare, financial services, B2B SaaS, D2C, and internal tools.