CodeEasy Innovation Labs Private Limited builds GMMCode, the governed AI delivery platform. Our leadership spent two decades inside global technology and engineering services organisations, running delivery across regulated industries, and watched every AI coding pilot stall on the same wall: no audit trail, no segregation of duties, no answer for the client's risk committee.
So we engineered the answer into the platform itself: an ITIL-native service front door, nine-role delivery pods with hard closure gates, and a governed inference mesh of 37 SLMs that enforces 302 enterprise standards on every generation. Governance is not a policy document here. It is the architecture.
We don't want to be a company that only sells one product. So every year, we set aside a small part of our budget for research, experiments, and building new ideas — some of which never become products, and some of which do.
GMMCode itself started as one of these experiments. That is exactly why we keep this process alive.
As part of the same spirit, we train students and work with universities to build the next generation of engineers. We also take on a small number of service projects, not because we need the revenue, but because real client work keeps our team sharp, curious and constantly learning.
This is how we stay a genuine technology lab, not just a product company.
To make AI-assisted software development genuinely easier, more secure and more accessible for every engineering team, from solo developers to large enterprises.
A future where every team has the AI tools, infrastructure and skilled people they need to build great software, without compromise on trust or control.
Security and privacy are not features, they are the foundation of everything we build.
We design for the people who write the code, not around them. Engineers stay in control.
We ship technology that solves real problems today, not demos that impress and disappear.
Experienced operators and engineers building practical AI for developers.
Mohan sets the vision and drives the growth of CodeEasy Innovation Labs, leading business strategy, partnerships and operations. He brings a background in the global technology industry together with a proven record of large-scale leadership in building organizations, leading large teams and championing people-first initiatives. That combination of technology insight and organizational leadership shapes CodeEasy's mission: making advanced AI practical, accessible and trustworthy for every engineering team.
Rajkumar is an AI-first engineering leader with 21+ years building and scaling enterprise platforms, global delivery organizations and high-performing teams across consumer tech, SaaS and AI-driven systems. He has led engineering inside some of the world's largest technology, consulting and life-sciences organisations, and has served as founder and fractional CTO delivering 30+ startup MVPs. At CodeEasy he owns technology strategy, architecture and delivery, with deep expertise in distributed systems, cloud platforms, computer vision and LLM integration. He holds a B.Tech in Information Technology from NITK Surathkal.
John leads CodeEasy Innovation Labs' New Zealand entity, building the company's presence and design partnerships across the New Zealand market.
The engineers who design, build and govern GMMCode every day.
| Legal Name | CodeEasy Innovation Labs Private Limited |
|---|---|
| Type | Independent private limited technology company |
| Focus Areas | Governed AI software delivery (GMMCode platform), AI coding solutions & agents, delivery infrastructure, capability building |
| Website | codeeasylabs.com |
| rajkumar@codeeasylabs.com |
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