The task orchestration and execution layer for enterprise AI.
Plan every task. Ground every decision. Learn from every execution. Eigen One is the first product and the fastest entry point into the Eigen platform.
It improves how the work is executed.
Eigen One integrates with the AI workflows you already operate. You keep your preferred models, cloud providers, prompts, APIs, data sources and MCP servers. Instead of giving every model call the entire workflow history and every available tool, Eigen One gives each step a precise objective, the relevant evidence, the permitted tools and a defined output contract.
What the execution layer does
- 01
Cuts repeated context
Each step carries the evidence it reads instead of the whole conversation, so the same content is not paid for twice.
- 02
Trims the tool surface
Tool definitions are limited to the ones the current step is permitted to call, which shrinks both the prompt and the error surface.
- 03
Runs independent work together
The plan states which steps do not depend on each other, so they execute in parallel instead of queueing.
- 04
Keeps predictable work out of the model
Calculations, aggregations and deterministic operations run as code, where they are cheaper and exactly repeatable.
- 05
Validates before consequential actions
Outputs are checked against their contract and against policy before a tool with real-world effects is allowed to run.
- 06
Retries the step, not the workflow
A failed step is retried on its own, so one bad tool response does not throw away everything already established.
- 07
Routes semantic work to your model
Judgment, synthesis and narrative go to the model route you configured. Eigen decides where that intelligence is required.
- 08
Records the execution lineage
Every action belongs to a plan, so the complete chain from objective to outcome is available as a receipt.
Runs where you need it to run
Eigen-managed cloud
The fastest way to a live benchmark on a real workflow.
Private customer VPC
Your account, your region, your network boundary.
Fully on premises
Inside your own data centre, with no outbound dependency.
Start with the managed service, prove the impact on one workflow, then move the same execution plans and controls into your private environment.
How the first engagement runs
- 01
Pick one workflow
Expensive, repetitive, several tools, clear completion criteria.
- 02
Run it as it is today
Representative tasks through your existing system, measured.
- 03
Run it through Eigen
The same tasks, the same models, the same tools.
- 04
Hold quality equal
Equivalent quality and policy requirements on both sides.
- 05
Compare
Cost per successful task, latency, reliability, explainability.
Frequently asked questions
Is Eigen One model agnostic?+
Yes. Eigen One calls the models you configure, from the providers you already have contracts with. It decides which steps need model intelligence and which do not, and it never requires a specific model family.
What does the integration actually require?+
Compatibility Mode requires changing the API base URL of an OpenAI-compatible client. Execution Mode requires submitting the complete task, your tool or MCP contracts, the relevant policies, the required output schema and your configured model route.
Where do our tools run?+
Wherever you want them to. Tools can be called through Eigen, through a tool gateway you control, or through a relay running inside your environment, which keeps a path to private and on-premises operation open from the start.
How do you price it?+
An enterprise platform fee combined with pricing per active production workflow, execution volume and private-deployment requirements. The value conversation is anchored in verified operational savings and improved outcomes, not token resale.