Controlled AI execution
for capital, risk,
and operations.
When AI agents touch real capital, proprietary strategy, or regulated workflows, the bar is different. Agents have to be governable, replayable, auditable, and secure enough to operate inside environments where mistakes are expensive and trust is non-negotiable.
Built for high-stakes workflows
Amadeus is designed for the environments where agents need to do more than answer questions.
It is built for trading, treasury, surveillance, monitoring, routing, compliance-style outputs, and proprietary workflows that require stronger guarantees around how execution happens and how it can be reviewed afterward.
A deterministic execution layer for AI agents
Amadeus gives exchanges, market makers, and institutional teams a deterministic execution layer for AI agents with policy controls, approvals, receipts, versioning, monitoring, and optional private execution.
It is designed for teams that want the upside of agentic workflows without accepting black-box execution risk.
Enterprise Grade Security
Amadeus is designed with Enterprise Grade Security and Controls. We are SOC 2 Type II, ISO 27001, GDPR, and the EU AI Act compliant*.
Amadeus is going through an application process.
The outcomes these teams care about
For exchanges, market makers, and institutions, the value is not novelty. It is operational leverage with control.
More controlled automation
Teams can automate more without giving agents open-ended power.
Stronger auditability
Every important workflow can be reviewed through receipts, versioning, and replayable logic.
Faster execution support
Agents can prepare, validate, and structure workflows faster than manual operator processes alone.
Lower operational burden
Routine monitoring, support, and repetitive internal workflows can be handled more efficiently.
Safer deployment of AI into sensitive workflows
Approval gates, permissions, kill switches, and private execution make it easier to introduce AI where looser systems would not be acceptable.
Why Exchanges, Market Makers & Institutions choose Amadeus
Most AI systems in finance still force a compromise. You can have powerful off-chain agents, but limited verifiability. Or you can have more transparent rails that were never designed for serious agent execution.
Deterministic execution
For a given version and the same inputs, the same outputs are produced. This creates reproducibility that is especially important in trading, treasury, and operational environments.
Institutional-grade controls
The Amadeus control framework is built around policies, limits, approvals, receipts, versioning, and monitoring. Permissions can be scoped by role, workspace, and workflow. Higher-risk actions can be gated behind threshold-based or explicit approval flows.
Receipts and replayability
Every workflow can emit a receipt that records what was recommended, approved, and executed, creating a clearer operational trail for review and governance.
Private execution
Sensitive strategy logic, internal analytics, and private workflows can run in TEE-backed execution environments, supporting confidentiality without giving up control and verifiability.
Monitoring and kill switches
Anomalies, repeated failures, unexpected recommendation volume, or attempted policy violations can be flagged and paused at the workflow, workspace, or global level.
Compliance-ready positioning
Amadeus is SOC 2 Type II, ISO 27001, GDPR, and the EU AI Act compliant.
Institutional AI execution, built to be trusted.
Amadeus gives institutional teams the upside of agentic workflows without accepting black-box execution risk. Governable, replayable, auditable — designed for environments where trust is non-negotiable.