Abhishek Jangid
Co-founder
Founders
We write the code, solder the boards and break our own demos at 3am so you never have to.
Previously on EnLab
Models think. Nobody knows how. That’s the black-box problem, and it lived rent-free in our heads. So we built a way to show a model’s internal thinking: what it weighs, and why it lands where it does. We’re still on it, along with a few other open problems we can’t stop thinking about.
Web3 era
Through 2024 and 2025 we went deep on Web3 and decentralised AI, running the infra other people build on. Same résumé, both of us. Then we took that energy to real hardware.
Worldwide, for AI model inference on Allora’s decentralised AI network.
Validators, provers and nodes on Unichain, Soneium, Berachain, Nexus, Story, 0G, Nillion, Vana and more.
The lore
We started with embedded engineering because a board either works or it doesn’t. No vibes-based results, only receipts. Hype makes us itchy.
We research how AI should work on real hardware, then ship it as EnLab IDE: agents that bring up real boards.
House rules
Every result gets measured on a real board. If we can’t prove it, we don’t post it. Period.
Agents, harness, hardware. Wrappers? We don’t know her.
We don’t post roadmaps. We post things that work on real boards.
Part of these startup programs
Incubated at
IIT Ropar TBIFWant in?
Into agents, embedded systems, hardware or AI research? Slide into careers@enlab.co.in. Just want to vibe? contact@enlab.co.in. We reply faster than your situationship.
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