Pythos is a managed, in-VPC inference platform. It delivers Scalability and Data Privacy with Zero Ops Overhead.
Scalability, Data Privacy and Ops Overhead trilemma
Every step down the stack strips out a layer of cost. Pythos is the last step — there is nothing below your own VPC.
Hyperscaler model endpoints are the easy default. Most expensive, fewer models, no operational control. Azure AI Foundry · AWS Bedrock · GCP Vertex
Specialist clouds cut the per-token price and widen model choice, but your prompts and data still leave your perimeter to get there. Baseten · Together · Fireworks
Pythos brings an economically superior computing substrate inside your security perimeter. Zero changes to compliance and security posture. Data stays inside the perimeter.
What used to force a trade-off is now a single guarantee, delivered inside your own AWS, Azure, or GCP footprint.
Pythos is built upon Cythos, our proprietary compute substrate that turns fragmented, heterogeneous hardware into one dependable pool of inference capacity.
Cythos abstracts diverse and heterogeneous computing resources into a single logical pool — so scheduling, scaling and placement happen without you thinking about the underlying machines.
Resources come from multiple cloud providers, neo-clouds, accelerator vendors, architecture generations and geographic silos — unified behind one interface.
Cythos is battle-hardened with leading AI research teams across industry and academia, proven under real production and research workloads.
We are a startup based in Silicon Valley. The founding team led iconic GPU programs at NVIDIA, Intel, and Google — shipping the first CUDA GPU, the first ARC GPU, and the core tech behind Google Stadia (cloud gaming platform).
Engineering Capital
