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NEW

ElixirClaw, the computing platform for enterprise AI agents.

Trusted by leading companies and partners

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Context. Control. Action. One decision trace.

Every decision is recorded with its inputs, the policy applied and its approver. Audit-ready by default.

Context, Control, Action: one decision trace Data platforms, systems of record and documents feed a living context graph. Decision boundaries sort each decision: the agent decides alone, a human approves, or it is off-limits. Agents then act across SAP, ServiceNow, Salesforce, Snowflake and Databricks. Every stage writes inputs, policy applied and approver to one decision trace. 01 / 03 Context Unify enterprise data 02 / 03 Control Enforced at runtime 03 / 03 Action Cloud · on-prem · edge Data platforms Systems of record Documents Asset Event Agent decides aloneNeeds a humanOff-limits Agents SAPServiceNowSalesforceSnowflakeDatabricks One decision trace InputsPolicy appliedApprover Audit-ready by default
  1. 01 / 03

    Context

    Unify enterprise data

    • Data platforms
    • Systems of record
    • Documents

    Connected into a living context graph. Every agent sees the business as it is now.

  2. 02 / 03

    Control

    Set decision boundaries

    • What agents may decide alone
    • What needs a human
    • What is off-limits

    Boundaries are enforced at runtime.

  3. 03 / 03

    Action

    Run agents across your systems

    • SAP and ServiceNow
    • Salesforce
    • Snowflake and Databricks

    In your cloud, on-prem or at the edge.

One decision trace InputsPolicy appliedApprover Audit-ready by default

Two five-year contracts: a leading Indian bank and a Dubai government entity

A leading Indian bank and a Dubai government entity have signed five-year contracts with XenonStack for governed AI agents.

Trust & Governance

Partnerships

Financial & Government

Institutions

How we think about agents in production

Essays, blueprints and explainers on running governed, auditable agents across the enterprise.

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The two clocks problem

Why agents fall out of step with the business they act on, and how to keep them in sync.

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The Context OS blueprint

The reference architecture for governed enterprise agents, ready to adapt.

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Decision traces, explained

What to record for every agent decision, and why auditors ask for it.

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Governing agents at scale

How to set decision boundaries and human approvals as agent volume grows.

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Enterprise-ready from day one, built for security and scale

Not sure where to start? Our advisory team maps your first three agent decisions, their risks and their ROI in a short readiness sprint.

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Certified for compliance and security

ISO 27001:2022 · ISO 9001:2015 · SOC 2 · HIPAA- and GDPR-aligned controls

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Deploy anywhere you need

SaaS · private cloud · on-prem · edge

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Trusted partner ecosystem

AWS Advanced Tier · Microsoft · Databricks · Snowflake · ServiceNow · NVIDIA

Where agents pay off first

Start with the workflows where governed, auditable agents deliver measurable results across IT, finance, risk and data.

Explore use cases

IT operations

Incident triage, root cause analysis and automated remediation, with every action approved and traced.

Finance

Cloud cost governance and spend control, with agents flagging waste and enforcing budget policies.

Risk & compliance

Continuous control checks and audit evidence, collected automatically so teams stay audit-ready.

Data & analytics

Decision-ready answers from governed data, with lineage and access rules applied on every query.

Ready to put agents into production?

In one Context Workshop, we map your first three agent decisions, the context they need and the controls they require.