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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 activity once, with its knowledge, controls, approvals and execution requirements.

Runtime Center

Operate and observe governed Runtimes, activity, execution, evidence and readiness from one operational surface.

Governed Knowledge

Turn enterprise information into structured, governed context that AI can use without losing source meaning and relationships.

Policy & Protection

Define the controls that govern what AI may access, what it may do, what must be protected and when a person must approve.

Data Protection

Protect sensitive values while preserving the business context AI needs to perform the governed task.

Human Approval

Require human authority where governed AI activity should not proceed on AI authority alone.

Golden Thread

Reconstruct governed AI execution from request to outcome with connected execution evidence.

AI Evaluation & Assurance

Verify what can be proven, evaluate AI behaviour and establish evidence-backed readiness in context.

AI Model Governance

Govern which models may participate, where they may be used, what evidence supports them and when their qualification must be reconsidered.

Why MergeOn

Turn the knowledge you already have into governed context AI can use.

Policies, procedures, manuals, regulations and operating documents were written for people — not AI.

MergeOn Document Intelligence transforms them into structured Tier-3 Review Packs, preserving meaning, relationships, dependencies and source context. Accepted knowledge can then be governed in the Knowledge Center and supplied to AI at execution.

Better context. Less repeated processing. More efficient AI execution.

Explore Governed Knowledge →
Built for complex enterprise operations

Wherever critical knowledge, policy and AI execution have to work together.

Financial Services

Govern policies, controls, product rules and regulated decisions while keeping AI execution traceable.

Healthcare & Life Sciences

Turn clinical, operational and regulatory knowledge into governed context while protecting sensitive information.

Logistics & Supply Chain

Structure customs, trade, food, agriculture, transport and supplier requirements so AI can work from the right rules for the activity.

Legal & Professional Services

Transform contracts, precedents, policies and matter knowledge into governed context with source-level evidence.

Industrial & Critical Operations

Govern procedures, technical documentation, safety requirements and operational knowledge across complex environments.

Public Sector & Defense Supply Chain

Control how sensitive policy, procurement, compliance and operational knowledge participates in AI-enabled activity.

Don’t see your industry? MergeOn governs the operating environment around AI, not a predefined industry workflow.Explore all markets →

Build on MergeOn

The application asks for a business outcome. The Runtime governs how it is produced.

An integration calls a published Business Capability rather than a model endpoint, so knowledge, policy, protection, human authority and evidence stay part of the activity instead of becoming your problem to rebuild.

Everything below describes the contract you build against and the architecture behind it.

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Build
Developer Platform

Everything you need to integrate, extend and build on the MergeOn platform.

API Reference

Complete REST APIs, authentication, schemas and integration endpoints.

SDKs & Examples

Accelerate development with SDKs, sample applications and reference implementations.

Learn
Documentation

Technical documentation covering platform architecture, configuration and deployment.

Integration Guides

Step by step guides for connecting AI providers, enterprise systems and business applications.

Architecture Patterns

Reference architectures and implementation patterns for enterprise AI deployments.

Know where you stand

Most organizations do not have an AI problem. They have a clarity problem.

Before deciding what to build, it helps to establish what your organization already believes about ownership, governance and decision-making — and where those beliefs disagree with each other.

Start with an honest read of where you are. Everything else follows from it.

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Platform/Markets/Logistics & Supply Chain

Turn a world of rules into the context each decision needs.

Global supply chains operate across customs rules, product restrictions, regulatory requirements, supplier obligations and internal procedures. AI is useful only when it is working from the right knowledge for the activity.

Book a demoExplore Governed Knowledge
The information problem

The rules are not missing. They are everywhere.

A single shipment decision can touch more distinct bodies of requirement than any one person holds in their head — each maintained by a different authority, on a different revision cycle, in a different document format.

CustomsFDAUSDAFoodBovine / animal productsCountry of originTariffsImport restrictionsLabelingCold chainCarrier requirementsSupplier documentationInternal policy
Customs declaration paperwork on a quayside beside a laptop, with a container vessel loading behind
This is what the source material looks like before anything governs it: a declaration written for a person to complete and another person to check, sitting next to the system that is supposed to act on it. Document Intelligence is what closes that gap — turning the requirement into structured knowledge that keeps its meaning, its dependencies and its source, so the activity can rely on it.

MergeOn does not ship a preloaded regulatory answer set, and it does not make customs, trade or legal determinations. The point is that an enterprise can turn the authoritative information it already relies upon into governed knowledge.

An illustrative governed activity

Can this product move through this route under these conditions?

The activity — not the model — decides what knowledge is relevant, what controls apply and what evidence is retained.

01

Purpose

The governed activity establishes what it is deciding: can this product move through this route under these conditions?

02

Accepted knowledge

Only the accepted knowledge relevant to that question is supplied — not the entire library.

03

Controls

Policy, protection and authority conditions bound to the activity are applied.

04

AI participation

The model performs the bounded task using the permitted context.

05

Outcome

The result is produced within the boundary the activity defines.

06

Evidence

What knowledge applied, what governed the operation and what followed are retained together.

The architectural difference

Structure the knowledge once. Govern how it is used.

Re-processing raw documents

  • The same source material is pushed through the model again on every request
  • Structure and relationships are re-derived each time, and can be re-derived differently
  • What was accepted as authoritative is not distinguishable from what was retrieved
  • Work already done is not reusable
The model rediscovers the operating knowledge every time.

Governed knowledge

  • Source material is transformed once into structured, reviewable knowledge
  • Meaning, relationships and source context are preserved rather than rebuilt
  • Accepted knowledge is governed and supplied to the activity that needs it
  • The prepared result is reusable across activities where the architecture permits
Less repeated processing, because the understanding is retained rather than regenerated.

The model should not have to rediscover your operating knowledge on every request.

Where retained governed knowledge can be reused, that work is not repeated. We do not publish savings figures for this — the architectural point stands without them.
When things change

Requirements change. Models change. The activity should not.

Customs documentation is revised. A supplier requirement is updated. A better model becomes available. Each of those is a normal event — and none of them should mean rebuilding the business activity that depends on them.

Updated source material is re-established as governed knowledge. A new model is qualified for the activity. The governed operation, its controls and its evidence continue.

Build once. Adapt forever.

See how governed knowledge works
Not limited to these industries

Your industry isn’t the architecture.

MergeOn does not depend on a predefined vertical workflow. It governs how enterprise knowledge, policy, protection, authority, AI execution and evidence come together around the business activity.

ManufacturingEnergyTelecommunicationsPharmaceuticalsTechnologyInsuranceReal EstateRetailTransportationGovernmentEducationProfessional Services
Representative, not exhaustive

Move past the pilot.

Put your first governed AI activity into production.

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