Kinesis Network is building the orchestration, pricing, and placement service that lets workloads run on the best available infrastructure — Kinesis-managed, partner, or customer-owned. Headquartered in Seattle, with a presence in California and Türkiye.
CEO/CTO · Seattle
Baris Saydag
Ex-Microsoft & Meta engineer with deep expertise in networking, cybersecurity, and distributed systems. Co-founded C0D3R, the world's largest decentralized RPC network (50K nodes, 10B relays/day). Leads Kinesis architecture and long-term vision.
COO · Seattle
Hamza Ak
Ex-Microsoft & Amazon engineer specializing in distributed systems and large-scale optimization. Co-founder of C0D3R. At AWS, built a platform used by 2M DAU to maximize customer value across the AWS ecosystem. Scaling Kinesis operations globally.
CRO · Santa Clara
Bina Khimani
Ex-IBM & AWS Director with a record of scaling global cloud businesses. Expert in enterprise transformations, product-market fit, and go-to-market execution. Drives commercial strategy, partnerships, and revenue growth across the compute ecosystem.
CGO · Pebble Beach
Dan Neault
Ex-AWS General Manager who drove adoption of AWS database, analytics, and AI/ML platforms. Senior leadership at Imperva, Samsung, NetApp, and Microsoft building cloud platforms at scale. Leads global GTM, partnerships, and revenue growth.
This is not a first-time pass at the problem. The Kinesis team collectively brings more than a hundred years of experience building and operating distributed systems at AWS, Microsoft, IBM, and Meta — including the predecessor work that informed our approach to decentralized compute coordination. Multi-year head start on an objectively hard problem.
Kinesis unifies fragmented compute across cloud, on-premises, edge, and customer-controlled environments into one orchestrated service.
The platform continuously makes placement, scaling, pricing, and failure-handling decisions across a heterogeneous global supply graph.
Every workload that runs improves the next one's placement, utilization, failure handling, and pricing through higher-signal operational data.
