The Rainfall System
An agent is a software program that makes decisions automatically.
Each agent was doing exactly
what it was supposed to do.
That’s the problem.
Rainfall Rainfall
The problem isn’t the agents.
It’s what happens between them.
Every agent does its job correctly. Together, they create failures nobody designed. Rainfall is the only layer actively mediating between them.
Design Partners
3 Fortune 500 enterprises in closed beta
“First cascade prevented in week one.”
Live
Observability
Watches the cascade unfold.
Alerts you after the damage is done.
Sees it. Can't stop it.
Orchestration
Scripts what agents do upfront.
Breaks when reality doesn't match the plan.
Controls it. Can't adapt.
Rainfall
Mediates in real time.
Intervenes before the cascade forms.
Detects it. Stops it. Now.
Governance
Append-only audit trail.
Every decision logged before regulators ask.
Compliant. By design.
See how Rainfall catches the cascade before the damage reaches your customer — in situations that happen every day.
For the technically curious
Live agent dashboards, behavioral gauges, coupling graphs, and Aura's reasoning log — running in real time as the scenario plays out.
Scenario
The Moment
What Went Wrong
Rainfall Steps In
The Difference
Why This Matters at Scale
This isn't one scenario. It's happening in every AI-powered system, every day.
Each agent doing the right thing alone. Nobody watching what happens between them.
New risk class
Inter-agent amplification — where individually correct agents collectively cause failures — is the defining AI reliability problem of 2025
73%
Of AI-system failures trace back to inter-agent amplification, not individual agent errors
<100ms
How fast Rainfall detects and intervenes — before the cascade has time to form
Consumer
Your app just worked. No panic, no failure, no support call.
Executive
Revenue protected. Customer trust preserved. No incident post-mortem.
Investor
The only layer between AI systems and the compounding risk they create.
Engineer
Real-time manifold monitoring, behavioral dampening, imprint matching. See the dash.
tap anywhere to continue
The Rainfall System
You saw the outcome. Here’s every signal that made it happen.

This is Aura — Rainfall’s coherence engine. As each scenario plays out, you’ll see every agent’s behavioral state in real time: the gauges that spike, the coupling lines that thicken, and the dampening signals Aura sends before a cascade can form.

Observability tells you what happened after. Orchestration controls what agents do upfront. Rainfall mediates in the middle — watching how agents influence each other while they decide, and intervening before behaviors compound. Not alerting. Not scripting. Mediating.

Agents
Independent programs that each handle one part of a task. The risk: their actions amplify each other into a response no one intended.
Coherence
When agents stay proportional under pressure. Without it, one agent’s caution triggers another’s escalation — a feedback loop with no circuit breaker.
Aura
The modulation engine inside Rainfall. Monitors all agents simultaneously and sends preemptive dampening signals before behaviors compound.
Choose a Scenario
Each demo runs the same situation twice — without Rainfall, then with it.

Enterprise

LIVE
Payment Choreography
$5,000 payment triggers compliance cascade. Routine purchase spirals into fraud alert.
LIVE
Supply Chain
Supplier delay triggers $40k in unnecessary expedited shipping across 3 orders.
LIVE
Fraud Detection
Multi-IP purchases during travel lock a customer out of their account.
LIVE
Legal & Compliance
Low-confidence PEP name match blocks a legitimate multinational for 3 weeks.

Consumer

LIVE
Smart Home
Power surge causes total home lockdown. Security, Climate, Entertainment all shut down.
LIVE
Travel Booking
Flight cancellation cascades into $6k of panicked rebooking across hotel and activities.
LIVE
Health Monitoring
Exercise heart rate spike triggers 911 call on a jogger. Family gets panic calls.
— Scenario Briefing
Scenario A — No CoherenceCoherenceThe property of a multi-agent system where agents maintain aligned, proportional behavior even under stress, avoiding runaway cascades. Layer
Why agentsAgentsAutonomous software entities that perform tasks, make decisions, and communicate with other agents in a choreography. decohereDecohereWhen agents lose alignment and their stress responses amplify each other instead of staying proportional. The system fragments.
or click anywhere to continue
— How It Works
How the Rainfall System works
Watch the decision pipeline — from observation to intervention — in real time.
— Transition
A $5,000 purchase just became a system-wide incident.
Now, the same scenario with Aura ModulationAura ModulationThe process by which Aura adjusts agent control surfaces in real time, dampening disproportionate stress and maintaining coherence.
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— Summary
"The agentsAgentsAutonomous software entities that perform tasks, make decisions, and communicate with other agents in a choreography. were right to be cautious.
AuraAuraThe coherence layer that monitors agent manifold state and modulates behavior to prevent decoherence cascades. made sure caution didn’t become panic."
The Aura System
11
Control SurfacesControl SurfacesThe 11 adjustable parameters Aura uses to modulate agent behavior in real time. Each maps to a measurable behavioral dimension.
26
DimensionsBehavioral DimensionsThe full set of behavioral signals Aura monitors across the agent manifold. 11 are directly controllable (control surfaces); the remainder inform Aura's situational model. Monitored
14
ImprintImprintA recorded pattern of agent stress that Aura uses to recognize and respond to recurring situations. 14 imprint classes cover common decoherence triggers. Classes
5
Stability RegimesRegimeThe current stability classification of the agent system: Stable, Oscillatory, Escalating, Fragmenting, or Recovering.
Why Aura is Different
Not an LLM wrapper
Aura is deterministic, not probabilistic. It measures 26 behavioral dimensions, runs control-theoretic math, and emits precise dampening signals. Same input, same output. Every time. No hallucination. No token cost.
Not an orchestration framework
LangChain, CrewAI, AutoGen route tasks between agents. They don’t monitor how agents behave while they execute. Aura watches behavioral state in real time — commitment drift, escalation velocity, coupling strength — and intervenes before cascades form.
Not an observability tool
Datadog, Prometheus, New Relic tell you what happened after the fact. Aura acts during the event. It has longitudinal memory of each agent’s behavioral history and uses that to distinguish “normal stress” from “cascade in progress.” This requires control-theoretic math and behavioral memory — not log aggregation. It’s a different stack.
Fast enough to matter
Aura operates at tick-level — 42–88ms response†, not minutes. By the time an observability alert fires, the cascade has already happened. By the time an LLM reasons about it, the damage is done. Aura prevents the cascade from starting.

† P95 latency measured at the Aura modulation layer across enterprise load scenarios. Agent execution time excluded. Measured in closed-beta deployments.

What deployment actually costs
Rebuilding with guardrails
6–18 months engineering
New infrastructure stack
Custom compliance layer
Ongoing model fine-tuning
$2–8M+ typical spend
Rainfall drop-in layer
~2 hours integration
Wraps your existing agents
Nimbus audit out of the box
No model training required
Design partner pricing
No new models. No new infrastructure. Aura wraps your existing agents — whatever runtime they run on.
What you just saw has a name.
Coherence. The infrastructure layer that makes multi-agent AI trustworthy.
Not after the fact. Not in theory. In the 80ms before the cascade forms.
Technical Spec → Executive Brief →
The Rainfall System
Side-by-Side Comparison
WITHOUT RAINFALL STABLE
WITH RAINFALL STABLE
— Results
What the Rainfall System Just Prevented
— Architecture
Inside the Rainfall System
Aura is one engine. Here's the full system.
Aura
Behavioral modulation engine. What you just saw — monitors agent state and sends dampening signals to prevent cascades.
Convergence
The runtime that executes agent choreographies. Manages task routing, sequencing, and inter-agent communication.
Barometer
Continuous measurement of system health. Feeds Aura the 26-dimensional manifold data it needs to make modulation decisions.
Breakwater
The enforcement gate. When an agent's output would cause harm, Breakwater blocks it before it reaches the downstream system.
Eye
The observation layer. Captures every agent action, every inter-agent message, and every behavioral state change for Aura to analyze.
Nimbus
Append-only audit trail. Every modulation decision, every dampening signal, every blocked output is permanently recorded for compliance.
Works with your existing stack
LangChain CrewAI AutoGen OpenAI Agents Anthropic Custom agents
Drop-in coherence layer. No rewrite required.
Security & Compliance
SOC 2 Type II (In Progress) GDPR Ready HIPAA Aligned Nimbus Audit Trail Data Residency Controls Zero External Data Egress
Agent
Join the Design Partner Program
Aura is in structured early access. Design partners get direct engineering support, influence the roadmap, and recover Rainfall's cost within their first prevented incident.