MODEL ≠ TALENT
Models are replaceable resources. An AI worker's identity, role, evaluation, and history must remain independent from the current model.
TECHNOLOGY & PRINCIPLES
The architecture and principles behind AI in real operations.
HIYU
hiyu registers, evaluates, selects, and assigns AI workers across local models, cloud models, CLIs, software systems, and physical resources. It does more than dispatch instructions. It verifies that the intended worker acts with the intended authority, in the intended environment, and that the result survives reality.
AI Execution Layer
Your own AI execution layer, built to outlast any single model.
Explore hiyu ↗FROM INTENT TO EVIDENCE
goal · scope · acceptance
who · where · which runtime
authority · approval · liveness · fence
real system actions · result · artifact
independent verification · business outcome · persistence
controlled restart · recovery · durability
hiyu does not treat “the AI replied” as success. Work is complete only when the intended effect occurred in the real system, the result was persisted, and the state can be read back after restart.
NON-NEGOTIABLE
Models are replaceable resources. An AI worker's identity, role, evaluation, and history must remain independent from the current model.
A registry entry or terminal pane can remain after the provider process has exited. Verify the exact runtime immediately before delivery.
Saving a cron expression is not business execution. Inputs, authority, placement, artifacts, retries, results, and restart recovery belong to the scheduler contract.
Tests, pull requests, merges, and deployments are intermediate states. Completion requires a live outcome and authoritative read-back.
PROOF, NOT PROMISES
Strassen separates prototypes, offline tests, production behavior, and customer outcomes.
Every published metric should carry its scope, environment, baseline, measurement window, and verification date. What has not been measured remains explicitly unmeasured. This page does not yet publish verified production metrics.
DESIGN PHILOSOPHY
Strassen's mission is to redefine systems around AI — to build a society where AI does the work. Most companies aim to make internal data usable by AI. Strassen goes one step further: we redefine the system itself so that AI is the principal actor. If AI can carry a job through to the end, people should not even need to operate a chat or a UI — that is what we design toward. The human role is to hand over intent, set the boundaries, and approve the result.
Primitives for AI teams to create, embed, and retrieve knowledge. Designed for direct use by AI, and to run standalone — without the cloud service or a human-facing UI.
A wrapper that makes the core usable by humans. It exists for convenience; it is not a precondition for AI to function. If AI does everything, this layer is not essential.
hiyu's structure follows from this philosophy. This describes design intent; availability follows each product's status.
OUR THESIS
Models will become more capable, cheaper, and interchangeable. Durable advantage will move to enterprise context, execution routes, authority, evaluation, and proven outcomes. Strassen is building that operating layer.
SECURITY & DATA BOUNDARIES
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Data location, local models, access controls and human approval depend on the product and deployment. Confirm the boundary for each workflow.
A public Trust Center, external audit reports and incident response SLAs are planned work and are not yet offered.