Rethinking Agent-to-Agent Communication at Scale
How we designed a message propagation protocol that achieves sub-millisecond latency across 10M+ concurrent agents — and why traditional pub/sub falls apart at neural scale.
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Engineering Intelligence
Research, deep-dives, and perspectives from the team building the neural fabric of AI.
Building a Verifiable Compute Layer for Distributed AI
A technical walkthrough of our cryptographic attestation system that enables trustless GPU pooling across untrusted infrastructure.
Read article →Introducing SynapseAI: The Neural Fabric for Distributed AI
Today we're launching the private beta of SynapseAI Network — a new kind of infrastructure designed from first principles for the age of agent intelligence.
Read article →Neural Mesh Routing: From Graph Theory to Production
The algorithmic foundations behind our adaptive routing layer — how agents discover optimal paths through a constantly shifting network topology.
Read article →Why the Future of AI Is a Network, Not a Model
The monolithic LLM era is ending. What comes next is a distributed nervous system of specialized agents — and the infrastructure to connect them doesn't exist yet.
Read article →2.4M Messages/Second: How We Benchmark Neural Mesh
Our benchmarking methodology, hardware setup, and the engineering decisions that let SynapseAI sustain 2.4 million messages per second with P99 latency under 0.4ms.
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