Division 01
AI Research Lab
Applied science on real problems
Eight active programmes, each grounded in a system that is already live.
8 programmes active
Enter the lab
Built by people who have run it in production.
AI Tech Partner Labs is a single team with three jobs: study the problems that surface in live AI deployments, teach what survives the study, and build the systems that put the answers to work.
Who we are
One team, not three vendors.
Most organisations meet AI through three separate suppliers. The seams between them are where projects die.
We run research, education, and delivery as one practice, deliberately coupled. Nothing has to be translated between organisations that do not talk.
The short version
- Based in Ahmedabad, Gujarat, working with clients across India and abroad
- 20+ years of engineering and cloud architecture leadership behind the practice
- Three divisions: Academy, Research Lab, Development
- Six industries, from healthcare and insurance to horticulture and manufacturing
- Every engagement answered within one business day
01 ??? The ecosystem
Three divisions, one loop
Research and Development are the two client-facing divisions. The Academy is what keeps both of them current.
Division 02
AI Academy
Structured education, grounded in practice
Curriculum built from validated lab findings rather than public tutorials.
Internal & partner cohorts
Ask about cohorts
Division 03
AI Development
Production systems, owned end to end
Strategy through operations, including evaluation harnesses, drift, and on-call.
Proof of concept ??? production
See how we deliver
02 ??? Leadership
The people you will actually work with
A small senior team rather than a large junior one.
Amit Patriwala
Sr. Technical ConsultantHands-on solution architect across .NET, Python, generative and agentic AI, vision, and cloud.
Two decades of software engineering leadership, from enterprise ERP and portal systems through to Azure and AWS architectures, IoT platforms, and production AI.
Leads technical consulting across all three divisions: shaping curriculum against industry practice, guiding the research programmes, and holding delivery to scale, security, and measurable outcomes.
Saket Munda
AI Product EngineerBuilds production-ready AI products on agentic AI, LLMs, RAG, and modern AI infrastructure.
Specialises in turning an idea into an enterprise-grade application that survives real users ??? large language models, agentic workflows, retrieval-augmented generation, and intelligent automation.
Leads engineering for our AI products: the agents, the enterprise applications, and the underlying infrastructure.
Nikunj Patriwala
AI Research & Innovation LeaderDrives enterprise AI innovation through research, experimentation, and emerging technology strategy.
Works at the frontier and translates it into something an enterprise can actually adopt: generative and agentic AI, intelligent automation, and AI-powered decision systems.
Leads research and innovation initiatives ??? evaluating emerging technology, building proofs of concept, and working with engineering to turn promising results into platforms that scale.
03 ??? How we operate
Four commitments we will be judged on
These are the ones worth writing down, because they cost us something when we keep them.
Honest baselines
We measure the boring approach before proposing the interesting one.
No handoff gaps
The people who design a system operate it.
You own what we build
Your team gets the harness, the runbooks, and the reasoning.
Governance is not a phase
Privacy, audit trails, and guardrails are designed in from the first week.
Work with us
Three good reasons to get in touch.
An enterprise AI project, a research collaboration, or a team you want brought up to current practice.
We reply within one business day