Built for agent workloads at enterprise scale.
A high-performance runtime designed for concurrency, throughput and resource efficiency.
Performance is infrastructure.
Governance and orchestration can't become a bottleneck as agent workloads scale. The Tessera Runtime was designed from day one for production agent workloads, with high throughput as a consequence of the other four engineering choices rather than a separate feature. As a result, the platform never becomes the slow point on the path, even when every agent in the organization runs through it.
The Tessera Runtime was designed from day one for production agent workloads.
Designed for concurrency.
The engineering choices that sustain agent workloads in production. None of them is a separate feature: together, they keep the platform from becoming the slow point on the path.
A production-grade runtime foundation.
Concurrency and isolation by design.
Built for concurrent agent workloads.
Resource management
Use infrastructure efficiently as load grows.
High throughput
Designed for environments with very high run volumes.
Built for speed.
Internal tests showed a complete agent run in under 46 milliseconds under specific test conditions. Performance results depend on workload, hardware, configuration and methodology. The number is meant to show that the platform isn't the bottleneck on the path, not to promise a time for your workload.
Performance results depend on workload, hardware, configuration and methodology.
Why the runtime is written in Java.
01
Most agent frameworks are written in Python, and for experimentation that's an advantage.
02
In production at volume the math changes: the platform sits on the critical path of every run.
03
There, sustaining high concurrency with predictable resource usage stops being a preference and becomes an infrastructure cost.
04
The Actor Model is the model in which each run is an isolated unit, with its own state, communicating by message.
05
The practical consequence isn't the number. It's how much hardware the same workload needs.