Get your enterprise ready for AI agents
Turn your existing APIs, databases and streams into a governed context layer in days - without moving data or building task-specific integrations.
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AI needs to understand your business before it can act safely.
APIs tell agents what they can call, not what your business means, or how concepts relate.
Pre-built workflows require up-front planning, limiting what agents can do. Leaving LLMs to improvise is risky.
Orbital gives AI a governed model of the business, then plans on demand and executes tasks deterministically.
Understand the business
Let agents understand your business concepts and how they relate, using a shared ontology inferred from your existing systems.
Plan on demand
Work out the data and actions each task needs at runtime - without pre-building the workflow.
Execute deterministically
Keep orchestration, policy and audit outside the LLM - controlled and auditable every time.
Connect everything through one semantic layer
Your systems each know part of the story. Orbital understands how they fit together, then discovers, composes and governs the data and actions each request needs.
Universal MCP
One semantic interface for agents, not hundreds of tools
Orbital gives agents one semantic interface across your systems - resolving and executing what they need at runtime, without hundreds of MCP servers to build and maintain.
Instant Integration
Connect everything. Copy nothing.
Data and actions rarely live in just one system.
Orbital uses its semantic layer to compose across APIs, databases and streams at runtime - without integration code, or moving data.
Governed data access for agents
Let agents act across your enterprise, safely.
Useful agents need to do more than retrieve information. They need to act.
Orbital enforces identity, field-level policy, masking, lineage and audit on every query and action — even when the result is assembled from multiple systems.
New tasks shouldn’t need new integrations.
Most applications and AI agents can only do what’s been wired up in advance. Every new requirement means another integration to build and maintain.
Orbital connects your systems once, then safely resolves and executes what’s needed at runtime.
Infer, then refine
Orbital creates an ontology from your existing systems in minutes, ready for your team to validate and extend.
Live context, from the source
Compose what’s needed directly from live systems of record — data stays in the systems of record.
No duplication, no pipelines to maintain.Govern every action
Governed access, policies, lineage and audit on every query and action.
From existing systems
to live context.
Connect the APIs, schemas and databases you already have. Orbital infers the semantic model; your team refines it where needed.
Orbital can then work out integrations on demand - in milliseconds - and adapt them in real time as your systems change.
No glue code, mapping files or MCP servers to maintain.
Connect the APIs, databases and streams you already run. Orbital discovers their schemas and capabilities automatically.
customer-api.yaml OpenAPI | OpenAPI | 42 operations | |
billing.proto Protobuf | Protobuf | 18 services | |
orders-db PostgreSQL | PostgreSQL | 27 tables | |
transactions Kafka | Kafka | 12 topics |
Run inside your environment.
Orbital deploys into your environment and works with the security infrastructure you already have. Data stays in the systems that own it, rather than being copied into another platform.
Deploy in your cloud
Run Orbital inside your own cloud or network, so sensitive data doesn’t have to leave your environment.
Bring your own identity
Integrate with any OIDC or SAML identity provider. Keep the users, groups and access controls you already have.
Keep your data at home
Orbital routes data between your systems without copying it into a separate data platform or warehouse.
Keep your secrets
Connect Orbital to your existing secret store, so credentials remain under your control.
Use cases
Whatever the workload,
Orbital orchestrates it.
Ask for the data or action you need. Orbital works out which systems to use, how to connect them, and how to produce the result.
Use the same integration layer for agents, applications, streams and data pipelines - without building and maintaining middleware for each.
An agent asks for what it needs in plain language. Orbital turns that request into a query, works out which systems to call, orchestrates the calls, and returns a single response over MCP.
Pull up customer CUS-4821 - name, tier, open tickets, last contact and what they’ve spent.
1// Orbital resolves that to one query - which still names2// no service, no endpoint, and no order of calls.3find { Customer( CustomerId == 'CUS-4821' ) } as {4 name : CustomerName5 tier : LoyaltyTier6 openTickets : TicketCount7 lifetimeSpend : LifetimeSpend8 lastContact : ContactDate9}