88%

of enterprise AI agent pilots never reach production.

The blocker isn't the agent. It's the context. Agents stall when they can't see the business as it's happening — customer state, operational signals, the full picture that makes the difference between a useful action and a costly mistake.

HyperTrail closes the context gap

Seven dimensions. One machine.

Warm is yours: the events, the boundaries, the endpoints. Cool is HyperTrail: everything assembled and operated in between.

01Yours

The Event

The stimulus. A booking changes. A cart is abandoned. A wager lands. A support chat ends. Every Trail begins with a business event landing on a digital twin, the moment it happens.

You bring: Your events, so agents understand your business.

HyperTrail runs: Ingests, parses, and routes every event to the right twin. No ETL. No batch.

Events Inlive stream

booking_modified → Customer twin

Hotel CRS · 12ms

cart_abandoned → Customer twin

E-commerce · 9ms

points_redeemed → Customer twin

Loyalty Platform · 11ms

02Platform

The Twin

The memory. A living, real-time record of every business entity: customers, flights, accounts, assets. Facts accumulate by type and stitch to one identity. The Twin is the context: everything your agents know, current to the last event.

You bring: Nothing. The twin schema is generated from your event payloads.

HyperTrail runs: Maintains one timeline per entity, updated in single-digit milliseconds.

Customer twin · #4821revision: 212
loyalty: gold tier · 89,400 points
engagement: declining · 14 days quiet
churn_risk: 0.74 ▲
preferred_channel: email

every fact timestamped · updated the instant an event lands

03Yours

The Threshold

The moment. A boundary on any twin fact, written in plain language: churn risk above 0.7, engagement silent for two weeks, balance below $5. When a fact crosses it, the Trail fires.

You bring: Your boundaries: the moments that demand action.

HyperTrail runs: Watches every fact on every twin, continuously, and fires in milliseconds.

Threshold watchcontinuous

churn_risk ≥ 0.7 AND tier = gold

your boundary, in plain language

churn_risk: 0.68 → 0.74 ▲

fact crossed the boundary

⚡ ACTIVATEDtrail fires · agent wakes
04Platform

The Agent

The reasoning. An agent wakes with everything pre-assembled: a goal from the Trail, full entity context from the Twin, and a scoped set of actions. It cannot act outside its scope. No drift. No hallucinated actions.

You bring: Your guardrails: human approval wherever you want it.

HyperTrail runs: Operates invocations, retries, and fallbacks at scale.

Agent invocationpre-assembled
goal: "Retain at-risk gold members before they churn."
entity: customer #4821 · full context from the twin
recent_events: [purchase, page_view, support_chat]
available_actions: [send_retention_offer, flag_for_review]

nothing searched, nothing guessed · delivered structured and scoped

05Yours

The Actions

The hands. Agents act in the real world through the API keys you provide: CRM, messaging, rebooking, Slack. Each action runs autonomously or pauses for human approval. Your systems, your rules.

You bring: Your API keys, so agents can act in your systems.

HyperTrail runs: Executes, confirms, and writes every outcome back to the Twin.

Actions Outyour keys

EMAIL · personalized retention offer

✓ sent · autonomous

SLACK · alert CSM with context

✓ sent · autonomous

CRM · escalate case, attach risk score

⏸ awaiting approval · human-in-the-loop

06Platform

The Trace

The record. Every invocation produces a full decision log: what fired, what the agent saw, what it decided, what it did, what it wrote back. Debug edge cases. Audit decisions. Build trust in autonomous AI.

You bring: Your questions: what fired, why, and what it did.

HyperTrail runs: Stores complete decision history for audit and observability.

Trace · invocation #88412immutable
fired: churn_risk ≥ 0.7 · 14:02:11.087
saw: 5 facts · 3 recent events
decided: 20% offer · confidence 0.91
did: email sent · slack sent · case held
wrote: offer_sent fact → twin
07Platform

The Metric

The proof. Define any quantitative metric against any entity domain. Hourly, HyperTrail compares acted-on entities to a randomized control group: statistically valid causal lift, not correlation.

You bring: Your definition of success: revenue, escalations, churn.

HyperTrail runs: Runs the control-group comparison and reports lift with confidence intervals.

Causal liftupdated hourly

acted-on

↓34%

escalations

control group

±0%

randomized holdout

causal lift with confidence intervals · not correlation

The connective tissue.

Between the dimensions run nine connector types: Events In, Actions Out, Context to Agent, Outcomes Recorded, Facts Shared, Twin Export, Direct Trigger, Vision Enrichment, and more. Every connection between systems, twins, and agents is a first-class primitive, generated when the Trail is created.

See full connector reference

Clear lines. No ambiguity.

You own

HyperTrail owns

Your business expertise: the outcomes worth pursuing

Codifying that expertise into running infrastructure

Events In: send your business events

Ingesting, parsing, and routing events to the right twin

Actions Out: provide API keys for downstream systems

Generating Digital Twin schema from your event payloads

Describing the use case in plain language

Assembling the Trail, the Agent, and every internal connector

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.