Join the house
Work on the hard constraints behind production intelligence.
View open rolesMeet Kestrel House
Reliable compute infrastructure for models that cannot miss a beat.
About us
Building the backbone for real-time intelligence.
Kestrel House is a globally distributed compute platform for teams running latency-sensitive models close to their users and data.
Our control plane places each workload on the right mix of accelerators, tracks regional capacity, and recovers around failure without asking operators to trade speed for clarity.
We believe serious infrastructure should be legible. Every deployment comes with plain observability, predictable economics, and a direct path from first experiment to production traffic.
The team
Lena Okoro
Co-founder & CEO
Ari Brenner
Co-founder & CTO
Rohan Desai
Systems engineering
Maeve Clarke
Platform engineering
Jun Armitage
Infrastructure
Dalia Youssef
Developer relations
Vikram Dey
Capacity systems
Inez Moreau
People & talent
Cal Novak
Software engineering
Sana Patel
Product
Omar Lewis
Solutions engineering
Petra van Rijn
Operations
Who we are
Built from the hard parts.
In 2022, we began with a direct question: why did deploying an intensive model still require a maze of regional queues, vendor contracts, and fragile scripts?
Our early team had spent years running distributed systems under real load. We designed Kestrel House around those lessons—portable workloads, inspectable placement, and recovery that behaves the same in every region.
Today, our engineers work across nine time zones. The system they maintain routes high-volume inference and agent workloads for products used around the clock.
Backed with conviction
Supported by technical founders and patient funds who know that foundational systems are built one dependable layer at a time.
Marta Singh
Former operator, Redbank Systems
Julian Ziegler
Partner, North Circuit
Alexis Laurent
Founder, Faraday Works
Sebastian Lucas
Co-founder, Dataloom
Nori Abe
Partner, Relay Capital
WirelineAsterFoundry 8Northbank
Read the log
Notes from systems design, inference economics, and field operations.
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