About us
Built by researchers who knew the data problem was holding AI back.
Two Carnegie Mellon professors set out to solve the challenge they kept hitting in research - and that every enterprise AI team faces in production: the data you need either doesn't exist yet or is locked away where you can't use it - and waiting is not an option.
Our mission
Give every time-series ML team the data they need to build AI that works in production - not just in the lab. No waiting on rare events. No manual labeling sprints.
Our vision
A world where data scarcity is never the bottleneck - where AI teams can generate the exact training and evaluation data they need, for any domain, on demand.
The team
The people behind Rockfish.
A small, technical team that has spent years on data systems, security, observability, ML infrastructure, and large-scale networking - from CMU research labs to product and engineering.
Dr. MuckAI Girish
Co-founder & CEO
Dr. Vyas Sekar
Co-founder & Chief Technologist
Dr. Giulia Fanti
Co-founder & Chief Scientist
Nathan Haugo
Co-founder & VP Platform Eng
Deepti Mande
Director, Product
Shane Duan
Director, Engineering
Deepanshu Bakhru
Software Engineer
Prakhar Naval
Senior ML Engineer
.JPG)
Brian Duggan
Senior Frontend Engineer
Advisors
Advised by operators and researchers who've done this before.
Our advisors bring experience from Google, Cisco, the US Military, and enterprise AI - giving us direct access to the buyers, builders, and domains we serve.
Customer advisory board
Practitioners who keep us close to real-world deployment.
Enterprise AI practitioners who help us stay grounded in the challenges teams actually hit when they put synthetic data into production.
Investors
Backed by investors who understand enterprise infrastructure.
We're grateful for the support of firms focused on deep-tech and enterprise AI.
.png)
Special mention · Angel investors
Interested in joining the team?
We don't have open roles right now, but we're always happy to hear from people who care about data systems, ML infrastructure, or making AI reliable at scale. Reach out and introduce yourself.