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Get a real-time quoteAI product engineering for production systems
CodeDTX is an AI product engineering company in India. We build and modernise production software with AI engineered into the product, backend, data and workflow layers, not bolted on beside it.
Enterprise AI development still needs screens, APIs, authentication, data models, release pipelines and support paths. We deliver those alongside the AI, so features work inside real business systems rather than beside them.
What we do
AI Agent Development - production agents for enterprise workflows.
Agentic Modernization - retrofitting agent capability into an existing estate.
Enterprise AI Integration - MCP, tool contracts, auth and data boundaries.
Dedicated AI Engineering Teams - an embedded pod that works with your engineers and transfers capability.
How we work
Agents propose. Humans decide. Systems execute. Evals, guardrails, observability and human approval paths are part of the build, not added afterwards.
The engineering practice behind it
OTT and Connected TV, mobile, web and backend delivery remain part of the practice: white-label streaming platforms, Android TV and set-top-box launchers, EPG systems, personalisation, and government and enterprise platforms. That is the engineering the AI work stands on, rather than the front door.
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Min project size
$5,000+
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Hourly rate
$50 - $99 / hr
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Employees
10 - 49
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Year founded
Founded 2024
- AI Agents
- 40%
- API Development
- 10%
- Web Development
- 10%
No Focus Areas have been added yet…
- Information technology
- 25%
- Government
- 20%
- Legal
- 20%
- Advertising & marketing
- 10%
- Media
- 10%
- eCommerce
- 10%
- Telecommunications
- 5%
- Midmarket ($10M - $1B)
- 55%
- Enterprise (>$1B)
- 30%
- Small Business (<$10M)
- 15%
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Our Story
We are CodeDTX — an enterprise AI product engineering team that builds and modernizes web, mobile, and backend systems with governed AI woven into production workflows. Our engineers deliver Next.js/React frontends, Node.js backends, native and cross‑platform mobile, multi‑agent architectures, evals, observability, and human-in-the-loop controls. We emphasize workflow-first design, system-aware interfaces, audit-backed decisions, and operational reliability.
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