Enterprise AI is missing a structured execution layer.
Eigen sits between your applications and your existing AI stack. It does not replace your models, prompts, tools, data systems or provider relationships. It controls how those components are used to complete a task.
What happens between the objective and the outcome.
Six things happen before and during execution that an open agent loop leaves to chance.
- 01
Task compilation
The objective becomes an executable, governed workflow before expensive model execution starts, rather than a process the model improvises turn by turn.
- 02
Dependency and parallelism
The plan states which steps depend on which, so work that was always independent stops queueing behind work it never needed.
- 03
Step-scoped context and tools
Each step receives a precise objective, the evidence it reads, the tools it is permitted to call and the output shape it has to return.
- 04
Deterministic where it belongs
Calculations, aggregations and predictable operations run as code. The model is kept for the judgment that actually requires it.
- 05
Validation and policy gates
Results are checked against their contract and against policy, and consequential tools stay blocked until that check passes.
- 06
Execution lineage
Every action belongs to a plan, so the chain from objective through evidence, models, tools, validations and approvals to outcome is recorded as it happens.
Your tools stay in your environment.
A plan can describe the capability a step requires without binding the workflow to one implementation. At runtime Eigen discovers the eligible tools, applies permissions and policy constraints, selects the appropriate tool, and records the relationship between request, action, result and supporting evidence.
- MCP servers
- OpenAPI services
- Function-calling schemas
- Internal REST and GraphQL APIs
- Databases and retrieval systems
- Existing workflow platforms
- Human-approval systems
- 01
Through Eigen
Fastest to integrate, for tools already reachable from the managed service.
- 02
Through your gateway
Eigen calls a tool gateway you control, which keeps the credentials and the audit trail.
- 03
Through a local relay
A relay inside your environment executes the call, so the tool never has to be reachable from outside.
Frequently asked questions
What does the Eigen Task Compiler do?+
It turns a business objective into a structured execution plan before model execution begins. The plan identifies what has to be accomplished, which steps depend on others, which can run in parallel, what information and tools each step needs, which steps require model intelligence, which operations can run deterministically, which results need validation, and where policy or human approval applies.
Is this planning, in the conversational sense?+
No. Conversational planning produces a description of intended steps that the model then has to keep rediscovering. Compilation produces an executable, governed workflow that the execution layer runs, validates and records.
Why not just add observability?+
Observability explains what happened after the fact. It does not change how the work was structured. Observing an inefficient or unreliable execution does not make it efficient or reliable, which is why the structure has to exist before execution rather than be reconstructed from logs afterwards.
Does Eigen need to see our data?+
Eigen needs the evidence a step requires in order to run that step, and tools can be executed through a gateway or a relay inside your environment so the underlying systems never have to be reachable from outside. The same execution plans run in the Eigen managed cloud, in your VPC, or fully on premises.