Zenmagix Techsolution Private Limited
AI engineering & automation
Mumbai, India
Mumbai — IST
We build AI that survives contact with production.
Agents that take real actions. Retrieval that cites its sources. Automation that does not fail silently at 3am. We are an engineering team, not a prompt shop.
Most AI projects die in the gap between a demo that works and a system you would trust unattended.
Zenmagix Techsolution Private Limited is an AI engineering company in Mumbai that builds AI agents, retrieval systems, voice agents and workflow automation for teams who need those systems to run unattended in production. Roughly half of the work is for clients in the UK, the Gulf, Singapore and Australia.
We came from blockchain infrastructure — wallets, exchanges, smart contracts. Domains where a bug does not produce a bad user experience, it produces a loss. That is the instinct we brought with us: idempotency, auditability, least privilege, and the assumption that someone will try to break it.
An AI agent with tool access is a distributed system with a non-deterministic planner attached. We have built the first part for years.
Where this gets specific: the Mumbai practice and what building AI in India actually involves, what it costs, the search side — SEO and digital marketing run by the same engineers — and BrokerHive, the virtual CTO programme for stock brokers.
What we build
- AI Web Development
- AI App Development
- Custom Software Development
- AI Agent Development
- RAG & LLM Integration
- AI PoC & MVP Development
- Data Engineering for AI
- AI Consulting & Readiness Assessment
- AI Voice Agent Development
- WhatsApp Business API & CRM Automation
- AI Workflow Automation (n8n)
- AI Appointment & Reminder Systems
- SEO Services
- AI Search Visibility (AEO & GEO)
- Performance Marketing & PPC
- Digital Marketing Services
- AI Video Production
- AI Ad Creative Automation
- AI Video Localization & Dubbing
- eLearning & LMS Development
- Robotics Software Development
- Computer Vision & Automation
- AI Engineering
- AI Automation
- Growth & Search
- AI Media
- Platforms & Verticals
Eight things we
actually do
Deliberately narrow. Everything here rests on the same substrate — retrieval, evaluation, and systems that hold state correctly under load — which is why we can do all of it properly rather than some of it loudly.
AI Agents & Orchestration
Retrieval & Knowledge
Voice & Conversation
Workflow Automation
Product Engineering
Data & Infrastructure
Search & Visibility
Growth & Performance
What we build with
How we work
Diagnose
We start with the business outcome, not the model. Often the honest answer is that a rule, a form or an off-the-shelf tool solves it for a fraction of the cost — and we would rather say so in week one.
Prove
A narrow proof of concept against your real data, with an evaluation harness and a measured baseline. Demos on clean inputs prove nothing; this is the step that tells you whether to continue.
Build
Production engineering in tight increments. Idempotent actions, least-privilege tool scopes, run traces you can replay, and graceful behaviour when the model is wrong or the provider is down.
Sustain
Models get deprecated, indexes go stale, providers change pricing. The accuracy you measured in March is not the accuracy you have in September. We keep measuring.
In practice
What that looks
like in practice
Named client case studies are being written up now — several need sign-off before we can publish figures. Ask on a call and we can walk you through specifics under NDA.
Tell us what you are
trying to build
A scoping call costs you nothing and usually ends with a clearer problem statement, whether or not you work with us.