Copilot suggests. Autopilot executes.
Your customers still need something that steers
Most stacks stop at suggest or execute. RT-OCS is the row that decides and steers under uncertainty, with proof when someone asks why the trip felt that way.
You do not want pizza surfaced at 7 in the morning when your context is a quick weekday breakfast, not a late-night order. Rankings that ignore when you are shopping feel careless, not helpful.
You do not want the same cereal pushed again at 2pm when you already walked past that aisle at 9am. Without live trip context, systems repeat categories you have already covered.
Aurora is built for governed, real-time judgment: policy, live context, and reviewable execution so experiences respond to intent and state, not only a static score. Holmes is the layer customers feel: search, paths, and suggestions that adapt to the journey from those signals. The simulation below is a small illustration.
Why Aurora
- Outcome control in the moment, not only dashboards after the fact
- Clarity before you scale impact across sites, segments, or regions
- Governance that fits how customers and regulators actually ask questions
- One disciplined foundation for many surfaces and industries
Where it applies
- Customer journeys and operations where outcomes and accountability are non-negotiable
- Aligning how decisions are made across teams and channels
- Mission-critical service your customers feel in the moment
- Sector programmes that share one governed core without a bespoke rebuild each time
Any industry where live decisions, governance, and continuity are non-negotiable.
Capabilities
A concise view of what the platform brings together for your team.
Each capability below is a building block you can combine for your product and ops surfaces.
Governed orchestration
Model how work moves with explicit policy so outcomes stay consistent with what you committed—and reviewable when it matters.
Controllable execution
Tune decisioning and performance envelopes without replacing core architecture.
Tunable experiments
Run controlled tests and verify behavioural deltas with measurable operational signal.
Retrieval and discovery
Maintain predictable retrieval through ranked indexes and policy-aware filtering.
Structured data model
Postgres-backed schemas, validation, and relationships with clear ownership and change tracking.
Event-native backbone
State changes become inspectable events that drive workflows, quality checks, and observability.
Governed automation
Branching workflows with reviewable triggers, execution history, and predictable fallbacks when exceptions fire.
Composable interface layer
Compose public and internal surfaces from stable APIs while keeping business rules explicit.
Operational observability
Track behaviour, runtime cost, and service health with clear traceability to released changes.
Integrations
Connect payments, email, inventory, and custom systems with clear contracts.
Multi-tenant governance
Isolated workspaces, role boundaries, and audit trails for enterprise control models.
API & SDK
REST, OpenAPI, and React/Next SDK for apps that talk to Aurora securely.
Scalable deployment model
Scale runtime capacity while keeping behaviour consistent with policy and continuity controls.
External application surfaces
Publish governed public interfaces with strict separation from internal operator tooling.
Workspace access
Run a discovery session with our engineering team to align scope, controls, and rollout.
Talk to us