AI agents, plus the web, mobile and cloud engineering around them — from new builds to keeping existing systems running smoothly.
Agentic AI running in production inside enterprise engineering teams, and consumer apps serving millions of requests.
The problem
The prototype works, then nobody owns the tools, the approvals, the evaluations, the cloud plumbing and the front end that turn it into a product. We do all of it — and we have done it inside enterprise platform teams and for consumer apps serving millions of requests.
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Tell us what you need. We'll suggest the right way to help.
Talk to usSelected work
A LangGraph supervisor, domain agents with MCP tools, human-in-the-loop approvals and long-term memory — automating leave, transport, admin and HR workflows at scale.
Read the case studyClaude Agent Skills that generate RFCs and functional test scenarios for an enterprise platform team, plus the microservices and Kafka architecture underneath.
Read the case studyFlutter app with MQTT, secure device authentication and an extensible device model. Around 40 percent lower latency and a 4.8-star rating. Not every project needs AI — this one needed fast, reliable device connectivity.
Read the case studyHow we work
Code lives in your repositories and runs on your cloud from day one.
We agree what success looks like before we start, and adjust together as your needs change.
Every AI feature ships with a test set and a pass threshold.
Daily overlap with UK and US time zones, with async updates twice a week.
Monitoring, fixes and upgrades after go-live, so your product keeps working.
About
Medhakara is led by Kumar Gautam, a software architect who builds agentic AI systems in production inside enterprise engineering teams. Kumar has led cross-functional teams and works with a small bench of senior contractors for larger builds.
We will tell you in that call whether we are the right fit — and if we are not, who might be.
Or email hello@medhakara.com