The MergeOn Platform
The enterprise foundation for building, governing and operating AI at scale.
Explore the platform →THEMIS Mission Control NewUnderstand what is changing across your organization and bring the right decisions to the right people at the right time.
Runtime Digital Twin PreviewVisualize every runtime, capability and relationship across your AI operating environment.
Create governed AI activity once, with its knowledge, controls, approvals and execution requirements.
Runtime CenterOperate and observe governed Runtimes, activity, execution, evidence and readiness from one operational surface.
Governed KnowledgeTurn enterprise information into structured, governed context that AI can use without losing source meaning and relationships.
Policy & ProtectionDefine the controls that govern what AI may access, what it may do, what must be protected and when a person must approve.
Data ProtectionProtect sensitive values while preserving the business context AI needs to perform the governed task.
Human ApprovalRequire human authority where governed AI activity should not proceed on AI authority alone.
Golden ThreadReconstruct governed AI execution from request to outcome with connected execution evidence.
AI Evaluation & AssuranceVerify what can be proven, evaluate AI behaviour and establish evidence-backed readiness in context.
AI Model GovernanceGovern 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 →Wherever critical knowledge, policy and AI execution have to work together.
Govern policies, controls, product rules and regulated decisions while keeping AI execution traceable.
Healthcare & Life SciencesTurn clinical, operational and regulatory knowledge into governed context while protecting sensitive information.
Logistics & Supply ChainStructure customs, trade, food, agriculture, transport and supplier requirements so AI can work from the right rules for the activity.
Legal & Professional ServicesTransform contracts, precedents, policies and matter knowledge into governed context with source-level evidence.
Industrial & Critical OperationsGovern procedures, technical documentation, safety requirements and operational knowledge across complex environments.
Public Sector & Defense Supply ChainControl how sensitive policy, procurement, compliance and operational knowledge participates in AI-enabled activity.
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.
Explore the developer platform →Everything you need to integrate, extend and build on the MergeOn platform.
API ReferenceComplete REST APIs, authentication, schemas and integration endpoints.
SDKs & ExamplesAccelerate development with SDKs, sample applications and reference implementations.
Technical documentation covering platform architecture, configuration and deployment.
Integration GuidesStep by step guides for connecting AI providers, enterprise systems and business applications.
Architecture PatternsReference 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.
Start the free benchmark →Take the free 12-question benchmark and get an immediate view of your organization’s AI readiness.
Start the benchmark Leadership Alignment AssessmentCompare leadership perspectives to reveal where your team is aligned, where views diverge and where that difference matters.
Explore the assessmentMergeOn was created to give organizations a governed foundation solid enough to put real AI-enabled work on.
Read our story →Why MergeOn exists and how we are building the enterprise control plane for governed AI execution.
CareersJoin the team building the control plane for governed enterprise AI.
Contact UsTalk to MergeOn about your organization, implementation or enterprise AI programme.
See how the models, cloud, data and enterprise technologies organizations already use can participate in governed MergeOn execution.
Implementation PartnersBuild a governed AI practice on MergeOn and help enterprises move from AI pilots into controlled production.
Become a MergeOn Implementation PartnerBring MergeOn into client engagements, build repeatable governed AI capability and register for partner enablement and future certification.
Build AI into the business without building the control plane around it.
Define the business activity, connect the systems and AI it needs, and execute it through a governed Runtime. Knowledge, policy, protection, human authority and evidence stay around the operation — instead of being rebuilt inside every application.
Build once. Adapt forever.
Build the activity. Govern the execution.
Develop against a stable business contract rather than wiring the application directly to whichever model happens to be current.
Define the business capability
Establish the purpose, structured input, declared output and business activity that needs to execute.
Attach what the activity needs
Connect governed knowledge, policy, protection, human authority, approved AI participants and enterprise tools where required.
Publish the executable release
Move an approved version of the activity into the target environment rather than executing an arbitrary draft.
Run the governed activity
Applications submit work to the published Runtime capability. MergeOn governs the execution and retains the evidence around what happened.
Build against the business activity, not the model endpoint.
An application should not need to know whether the governed activity is currently fulfilled by one model, a different model, an agent, a deterministic capability, an enterprise tool, or a process involving several participants. It depends on the declared business capability and its input and output contract. How that capability is fulfilled is the Runtime’s problem, not the caller’s.
Change the participant without rewriting the application around it.
Keep enterprise authority outside model discretion.
Every team that integrates a model directly ends up rebuilding the same controls in application code, and each rebuild is slightly different from the last. Worse, the controls that end up as prompt instructions are advisory at best — invisible to an auditor and gone the moment the prompt changes.
A governed activity carries these as explicit conditions, evaluated while it runs.
What accepted organizational context may participate.
What the operation permits or refuses.
What sensitive information may be exposed.
When an authorized person must decide.
What participant is permitted to perform the bounded activity.
What remains connected after execution.
The model participates. MergeOn governs the operation around it.
Your enterprise systems do not stop being systems of record because AI arrives.
MergeOn sits between governed business intent and the systems and AI participating in execution. It does not ask any of them to hand over what they own.
The system that owns the business fact remains authoritative for that fact. MergeOn governs how AI-enabled activity interacts with it — which is a far easier thing to get approved, and a far easier thing to withdraw.
Connect the enterprise. Do not rebuild it around the model.
Give the activity accepted context, not another pile of chunks.
Document Intelligence transforms enterprise source material into structured Tier-3 Review Packs, preserving meaning, relationships, dependencies, source context and provenance. Once reviewed and accepted, that becomes governed knowledge supplied to the activity that needs it.
Your application should not have to reconstruct the organization's knowledge on every request.
A request to proceed is not permission to proceed.
Where a governed activity requires human authority, approval is part of execution — the activity waits on it — rather than an email or a workflow improvised alongside a process that already completed.
AI may request. The authorized person decides. MergeOn governs what happens next.
Know what ran, under what authority, and what happened.
Reconstructing an execution after the fact — a model transcript here, application logs there, an approval sitting in somebody’s mailbox — is work you should not have to do, and it produces an answer nobody fully trusts anyway. Because the activity is governed, these are not separate records waiting to be correlated.
What was asked, and of which governed activity.
Which published release actually executed it.
What accepted context participated.
What policy and protection applied.
Who authorized, where the activity required it.
Which model, agent, tool or system performed the work.
What the activity produced.
The connected record of all of it.
Not a log of the model. A record of the operation.
Models change faster than enterprise applications should.
The governed business activity, its knowledge, controls, authority, tools, output contract and evidence requirements should not need rebuilding whenever the underlying AI participant changes. None of those things were defined by the model, so none of them should leave with it.
A replacement model or version remains a new probabilistic participant, and stays subject to its own qualification and evaluation before it takes part.
Swap without rebuilding. Re-qualify without starting again.
A model change is a governance event. It is not an application rewrite.Let each part of the enterprise retain the authority it owns.
A Primary Runtime can coordinate enterprise activity while Connected Runtimes represent governed capabilities belonging to different responsibilities or operating areas. The goal is not one large agent with access to everything — that design erases exactly the boundaries an enterprise depends on.
Coordinate across governed boundaries without erasing them.
A model is not suitable in the abstract. It is suitable for an activity.
Evaluation belongs to the context in which the participant actually executes. The same model can be suitable for one business capability in one environment and not for another, so a score produced outside that context tells you very little about the activity you are shipping.
Operational, reliability, governance and business-outcome evaluation are assessed against the execution that happened.
Where the evidence is insufficient to support a result, say so rather than manufacture a score.
Build with the architecture, not around it.
Build the application once. Keep changing what runs underneath it.
Give developers a stable business contract while MergeOn governs the knowledge, controls, authority, AI participation and evidence around execution.