The operating system for enterprise agents.
Tessera brings governance, execution, observability and development together in a single infrastructure layer for AI agents.
Where the agent decides, and where the organization decides.
01
The agent chooses the path: which tool to call, which data to fetch, how to respond.
02
That part is probabilistic, and it's what makes the agent useful.
03
What it can reach isn't its choice: systems, data, models and spending limits are the organization's rules.
04
The rule is evaluated outside the agent, before the call goes out.
05
The agent decides within the limit. The limit still belongs to the company.
Four layers, one operating model.
Operating agents is the work left over after deployment.
What keeps an agent fleet up in production, from what it does to what it costs, and from the first run to the thousandth.
Agents introduce a new operational unit. Tessera treats agents, runs, prompts, models, tools, policies, tokens and decisions as first-class entities, not as lines scattered across service logs.
Inspect runs, prompts, models and tools, side by side.
Measure latency and failures per agent, not per service, along with the cause.
Investigate behavior without stitching together disconnected logs from different systems.
Treat runs and prompts as entities, not services, each with its own history.
Understand how agent workloads consume models and infrastructure across the organization. Track usage and cost at the level your business actually operates, and find out early which agent costs more than it delivers.
Track consumption by agent, team and department, throughout the month.
Compare cost across models, workflows and environments, on the same scale.
Define limits before the invoice becomes a month-end surprise.
Attribute every dollar to the team that generated the spend, with no arbitrary allocation.
An enterprise AgentOS sits on the critical path of production workloads. Built on Java 25 and the Actor Model, the Tessera Runtime is designed for high throughput and massive parallelism, with resource usage that stays predictable as load grows.
Run concurrent workloads with efficient resource usage, even at peak.
Promote revisions across environments under the same policy, from test to production.
Roll back to the previous revision without losing the trail of what happened.
Scale parallelism without multiplying infrastructure at the same rate.
Built for environments where control isn't optional.
Tessera was designed for organizations where security, governance, traceability and compliance are production requirements, not review steps at the end of a project. The controls below apply to every agent, whatever the team or framework that built it.
Policy enforcement
Rules defined at the organization level and enforced on every agent that runs.
Access control
Which agents can reach which systems, data and tools, and under which identity.
Human approval
Critical actions pause before they execute and wait for an authorized person.
Audit trails
A record of what each run did, with the configuration that was active at the time.
Environment isolation
Development, staging and production kept apart by credentials and by policy.
Data governance
How sensitive data is masked, retained and exposed to external models.
Change traceability
Who changed a prompt, policy or version, when, and what the change caused.
Security controls
Secrets, credentials and keys kept out of the code and out of the agent's reach.