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The MergeOn Platform

The enterprise foundation for building, governing and operating AI at scale.

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THEMIS Mission Control New

Understand what is changing across your organization and bring the right decisions to the right people at the right time.

Runtime Digital Twin Preview

Visualize every runtime, capability and relationship across your AI operating environment.

Featured capabilities
Runtime Builder

Create governed AI runtimes that inherit your organization's knowledge, policies, protection and operational standards from day one.

Runtime Center

Operate every governed runtime through a single operational view with complete visibility into health, activity and execution.

Knowledge Platform

Transform enterprise information into governed organizational knowledge that AI can trust and explain.

Policy & Governance

Define how AI operates across your organization with consistent policies, controls and business rules.

Data Protection

Protect sensitive information throughout every AI interaction while preserving the business context needed for accurate outcomes.

Human Authority

Embed human oversight directly into AI operations, ensuring critical decisions remain under organizational control.

Golden Thread

Capture a complete record of every decision, policy, knowledge source and action from request to outcome.

Runtime Assurance

Validate AI before production with governed testing, operational evidence and deployment readiness.

AI Provider Platform

Adopt any AI model, framework or provider without rebuilding governance, security or operational controls.

Markets/Healthcare

Use AI on patient information without exposing it.

Clinical, operational and administrative work runs on records that cannot simply be handed to a model. MergeOn protects patient information throughout every interaction while still letting AI do the work.

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HIPAA readyMinimum necessaryAccess by roleAudit evidence
Healthcare
The pressure

Protection and usefulness are usually treated as a trade.

Strip enough to be safe and the output stops being clinically useful. Keep enough to be useful and the exposure becomes unacceptable.

Patient information cannot reach a vendor log

One unprotected interaction is a reportable event, not a lesson learned.

Minimum necessary has to be enforced, not intended

A principle applied by policy document is a principle applied inconsistently.

Clinical trust requires a citable source

A summary that cannot point at the record behind it will not be relied on.

Authorization

Prior authorization without the backlog

Read clinical documentation against policy criteria and surface what is missing, with every determinant traceable.

Care operations

Pathways tracked across the record

Follow obligations and follow ups across long, fragmented documentation.

Administration

Intake and records without manual keying

Structure forms and correspondence at volume with human review where accuracy is not optional.

Compliance

Evidence for every access

Each interaction is recorded with the role, the purpose and what was exposed.

Why it holds up

Built for the questions that come after go live.

Protection

Sensitive fields handled before exposure

Information is protected before it reaches a model, not corrected afterwards.

Provenance

Clinical claims stay citable

Every extracted value keeps its link to the record and location it came from.

Control

Access follows the role

Who may see what is enforced at the call, and recorded every time.

Move past the pilot.

Talk to the team that has already put governed AI into production.

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