Quanta Systems
Inference infrastructure focused on cutting latency and cost for agentic workloads.
What they build
Quanta Systems builds inference infrastructure purpose-built for agentic workloads — many small, chained model calls per task — rather than the single large-request pattern most infrastructure was originally optimized for.
Why it's notable
Their caching and batching layer specifically targets the repeated, similar sub-calls that agent loops generate, cutting cost significantly compared to naive per-call pricing.
Where they're headed
Series C funding is being directed at expanding data center partnerships to support larger enterprise agent deployments.