Company
What we build, and why it is built this way.
Scala measures what the network costs an AI workload, and reports it in a form the customer owns. Most of the decisions behind that — what we will claim, who controls the result, what we refuse to sell — are published rather than described.
From ML to AI.
The company was built around a packet-fidelity network simulator and an emulation platform, used for years to validate data center network designs against ML workloads.
Now, with AI, we ask how a specific AI workload will actually behave on a network, projected to a scale no one can test in a lab.
API-first to allow anyone to use it, at any scale, in any environment.
The Team.
Built by engineers for engineers.
- David MillerExecutive ChairmanLinkedIn profile for David Miller
- Rob ZechaCEOLinkedIn profile for Rob Zecha
- Shiv KumarChief Strategy OfficerLinkedIn profile for Shiv Kumar
- Mehryar GarakaniCTOLinkedIn profile for Mehryar Garakani
- Jay VargasVP, EngineeringLinkedIn profile for Jay Vargas
Get in touch.
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