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AI that runs on
your hardware.

High-X distributes local AI models across your devices — without sending data to the cloud.

Why High-X

AI adoption is accelerating, while governance, access control, and auditability are still catching up. High-X is built for teams that need local AI workflows with controlled data flow and technical governance.

Mapped to EU AI Act control areas such as risk management, logging, human oversight, and robustness. Certification and legal compliance still depend on the concrete deployment scope.

How it works

One control layer. Multiple local nodes. Cloud-free execution for configured workflows.

  1. Deploy the Control Layer Run High-X inside the customer-controlled environment and define which workflows must stay local.
  2. Connect Your Nodes Connect approved machines as local compute nodes and keep routing under your own infrastructure policy.
  3. Start Working Route selected tasks across local resources with audit logging, monitoring, and human oversight where the workflow requires it.
HOW IT WORKS CLIENT API GATEWAY SERVICES COMPUTE GOVERNANCE Web Frontend API Gateway Routing · Validation · Governance Model Registry Task Dispatcher Machine Discovery Node Model Runtime · LLM Node Model Runtime · LLM Node Model Runtime · Vector DB · RAG GOVERNANCE Audit Trail (Art. 12) Human Oversight (Art. 14) Drift Detection (Art. 15) Durable Workflows Local-first execution · External integrations remain optional and policy-controlled

Configured workflows can run locally. External integrations are optional and must be governed by deployment policy.

Architectural position

High-X is designed for use cases where local control, audit evidence, and deployment independence matter more than outsourcing execution to a hyperscale cloud.

I

Durable workflow evidence

High-X is built around persistent workflow state and audit events, so regulated processes can be reviewed as execution histories rather than informal screenshots or after-the-fact notes.

II

Human oversight in the workflow

For defined high-risk workflows, High-X can require an explicit human approval or rejection signal and record the decision context for later review.

III

Local control by design

Selected workflows can keep prompts, documents, embeddings, and logs inside customer-controlled infrastructure. Optional connectors remain visible, configurable, and governed.

Built for

Regulated teams — Organizations handling sensitive documents, audit obligations, or strict internal data-flow rules.

Mid-market pilots — Teams that need a bounded Proof of Value before committing to a full AI platform rollout.

Knowledge-intensive workflows — Legal, consulting, R&D, healthcare, and technical teams where internal knowledge needs controlled processing.

See it before you commit

We don't ask for a leap of faith. High-X offers a structured Proof of Value: a limited-scope deployment on one of your actual use cases, running in your environment for a defined period.

You measure results against your own KPIs and review the data-flow, governance, and security assumptions before any broader rollout.

Request a Proof of Value