Financial Services
Orbital for Financial Services
Connect market data, core systems, Open Banking APIs and reporting workflows.
Orbital handles the mappings and orchestration as systems change.
Use cases
Integrate, simply.
Banks run on systems built across decades — APIs, databases, feeds and streams, each with their own protocols and data models.
Orbital adds a semantic layer across them, then builds the integration each workload needs, on demand.
Onboard data feeds in minutes
Add semantic types to data feed schemas and publish. Orbital maps the feed into the different models your pricing, risk, trading and analytics systems already use.
What used to take weeks or months of integration work becomes a few minutes of schema tagging.
Annotate the Open Banking schema with semantic types, then use those same types across your internal APIs and databases.
Orbital works out how to populate the Open Banking contract from the systems underneath — including joins and transformations across multiple sources.
Build reports from governed data across operational systems, with lineage for every value returned.
When a number is questioned, trace it back through the transformations and service calls to the source record that produced it.
Changes to source systems or reporting schemas are handled against the semantic model rather than buried in another set of report-specific mappings.
Bring trades, positions, cash and reference data into a common model, even when each system represents them differently.
Use that model to build reconciliation and exception workflows without first creating another consolidated data pipeline.
Run inside your security boundary.
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 preferred secret store, so credentials stay managed by the systems you already trust.
Write once, enforce everywhere data authorization
Define authorisation by data type and field, then enforce it consistently across APIs, databases, streams and agents.
Policies can use live data from connected systems when making access decisions — not just static roles and permissions.
Give agents governed access
Let agents work across accounts, payments, customer data and internal systems through a single interface
Orbital works out which systems and operations are needed for each request, with orchestration and controls enforced outside the LLM.
Field-level access control
Control exactly which data agents can read or change, with fine-grained policies enforced on every request.
Keep sensitive data out of the LLM
Mask sensitive values before they reach the model, then restore them when the response comes back.
Audit every data access
Record exactly which data elements were accessed, by who and when.
Frequently asked questions
Got another gnarly question? We’d love to hear it. Come and chat on Slack.
Start with one integration.
Bring an API, feed or reporting workflow you already have. Add semantics to the schemas, and let Orbital build the integration.
