About Mica AI
Mica's AI agents replace the data ops teams fixing bad data.
When bad or missing data breaks the pipeline, and orchestration, retries, and monitoring fail, painful manual review work kicks in, pulling humans in to investigate and patch data issues across systems. Mica does what those humans do: gathering the right information from internal docs and external systems, reasoning across context, and resolving errors autonomously to get the pipeline moving again.
The result: dramatically reduce time, cost, and operational drag as your data pipelines scale without scaling ops headcount. Mica turns judgment-heavy data fixes from a manual bottleneck into an automated background process with full auditability.
Company details
Funding
Total raised
$500K
Last stage
Seed
Investors
Founders
Bharadwaj Swaminathan
Previously a Data Scientist at Hewlett Packard Enterprise, building ML products in the networking space. Holds a Bachelor's in Data Science and Economics from UC Berkeley.
Achyuta Iyengar
Previously a Product Manager at Lob (YC S13), where he led New Product Development, Address Verification, and Developer Experience teams. Holds a BS in Business Administration from the Haas School of Business at UC Berkeley.
LinkedInWhat happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.