You describe the outcome.HyperTrail builds the machine.
Every Trail is a complete piece of real-time infrastructure, assembled from your intent, powered by your events, connected to your systems. You bring your expertise. The platform codifies it.
assembles into
Your Systems
yours
Events In
S2E
Digital Twin
platform
Context to Agent
E2A
Agent
platform
What you bring.
You know your business: the signals that matter, the moments that demand action, the outcomes worth protecting. HyperTrail codifies that expertise into real-time infrastructure.
Your intent
Describe the outcome in plain language. "When a gold member's engagement drops for two weeks, intervene before they churn." That's a Trail.
S2E · System to Entity
Events In
Your business events land on digital twins. A booking changes. A cart is abandoned. A support chat ends. A flight delays. Each event updates a living record in real time. One webhook or streaming integration per system. That's your input.
A2S · Agent to System
Actions Out
Your agents act in the real world. Provide the API keys for the systems where they should reach: CRM, messaging, rebooking, Slack. You decide which hands your agents get. Each action flows through the keys you provide. Your systems, your rules.
That's it. You own the expertise and the endpoints. Everything between "Events In" and "Actions Out" (the Digital Twin, the Trails, the Agents, the internal wiring) is infrastructure HyperTrail assembles and operates. Integration measured in hours, not months.
Between your events and your actions,
a real-time machine wakes up.
When you describe a use case, HyperTrail generates six pieces of infrastructure. Each runs in real time. None requires you to configure.
Digital Twin
A living, real-time record of every business entity: customers, flights, accounts, assets. Updated the instant an event arrives via Events In. No ETL. No batch. The Twin is the Agent's memory.
Trails
The defined path from a threshold to an Agent's goal. When a fact on the Twin crosses a boundary you described ("churn risk > 0.7"), a Trail fires. The Trail tells the Agent: here's your objective, here's the entity, go.
Agents
AI that wakes up with three things pre-assembled:
- A goal: from the Trail definition
- Full entity context: streamed from the Digital Twin via Context to Agent (E2A), handled automatically
- A scoped set of Actions: connected to your downstream systems via your Actions Out keys
The Agent reasons, decides, acts, and writes the outcome back to the Twin via Outcomes Recorded (A2E), handled automatically. It can't do anything outside what's been scoped. No drift. No hallucinated actions.
Internal Connectors
- Context to Agent (E2A): gives Agents full entity context.
- Outcomes Recorded (A2E): writes decisions back to the twin.
- Facts Shared (E2E): replicates facts across entity domains. A flight delay becomes a customer event.
You don't configure these. They're generated when the Trail is created. Think of them as the Agent's nervous system.
Traces
Every Agent invocation produces a full decision log: what event fired, what context it saw, what it decided, what it did, what it wrote back. This is your observability layer. Debug edge cases, audit decisions, build trust in autonomous AI.
Metrics
Every time an Agent acts, HyperTrail logs an action record tied to the Trail. You define a metric: any quantitative query against any entity domain. Hourly, the platform runs that metric across two groups: acted-on entities and a randomized control group, using a methodology inspired by Amazon's A/B testing framework. The result: statistically valid measurement of causal lift. Not correlation. Actual impact, with confidence intervals.
Beyond the core trail.
The platform supports 10 connector types in total, covering agent-to-agent orchestration (A2A), direct system-to-agent triggers (S2A), twin-to-system exports (E2S), pass-through integrations (S2S), and vision enrichment (P2E). Every connection between systems, twins, and agents is a first-class primitive.
See full connector referenceNone of this was manually configured. The platform assembled it from a single sentence describing the desired outcome.
How the Agent knows what to do.
When a Trail fires, an Agent doesn't guess. It receives everything it needs, assembled and ready.
What the Agent receives at invocation
The goal came from the Trail. The entity context came from the Digital Twin via Context to Agent (E2A). The available actions are scoped to what you connected via Actions Out (A2S). The Agent didn't search for any of this. It was delivered, structured, and ready.
Clear lines. No ambiguity.
You own
HyperTrail owns
Your business expertise: the outcomes worth pursuing
Codifying that expertise into running infrastructure
Events In (S2E): send your business events
Ingesting, parsing, and routing events to the right twin
Actions Out (A2S): provide API keys for downstream systems
Generating Digital Twin schema from your event payloads
Describing the use case in plain language
Assembling Trail, Agent, and all internal connectors (E2A, A2E, E2E)
Approving (or skipping) human-in-the-loop gates
Operating the Agent at scale: invocations, retries, fallbacks
Reading Traces to validate ROI
Storing full decision history for audit and observability
You own the intent and the endpoints. HyperTrail owns the infrastructure in between.
One use case. Two connections.Production in days.
Start with a single event source and one downstream action. Describe what should happen. Watch the platform assemble the infrastructure and your first Agent act in production.