Behavioral Intelligence · Early Access

Know What Your
Users Actually
Do.

AI Analytics Engine decodes real user behavior into precise, predictive signals — and an AI analyst that answers your questions about them in plain English.

Request Access Open Live Demo →
aae-engine · ai analyst · live
▶aae.stream.connect("platform-prod")
→ connected · ingesting 14,302 events/sec · AI analyst active
▶analyst.ask("Why is churn spiking in the casual segment?")
→ 18 users dropped core feature usage by >60% in 72h.
   ARR exposure: $7,800 · confidence: 94%
   Suggested action: trigger Win-Back sequence now
▶aae.anomaly.watch(threshold="2σ")
→ 3 active anomaly patterns · last trigger: 4m ago
▶_
10M+
Events / Day
<50ms
Signal Latency
94%
Prediction Accuracy
∞
Scale Ceiling
// AI Intelligence Layer

An analyst that never
sleeps on your data.

Every view in the platform has a context-aware AI analyst built in. Ask it why a user is churning, what's driving an anomaly, or which cohort to prioritize — it answers from your live behavioral data.

⬡
Context-aware by default
The analyst loads the context of whatever you're viewing — user profile, anomaly, cohort, revenue risk — before you ask a single question.
⬡
Suggests next actions
Doesn't just explain — recommends the exact trigger, email sequence, or CRM update to take, with one-click execution.
⬡
Prompt suggestions included
Pre-built question prompts for each context type — so your team gets value from day one, no prompt engineering needed.
// AI Intelligence Layer Behavioral Analyst
Live
Context loaded: Marcus Chen · At Risk segment. What would you like to understand?
Why is churn risk so high?
Marcus's churn probability is 79%. Session frequency dropped 60% over 3 months — ARR exposure is $3,318. Last active 3 days ago.

Behavioral fingerprint matches early disengagement with 94% confidence. Last chance intervention window: 14 days.
What should I do right now?
Firing At-Risk Email Sequence via SendGrid now — and flagging Marcus in HubSpot for direct outreach within 48h.

If no response in 7 days, Win-Back Campaign will trigger automatically. $3,318 ARR is still recoverable at this stage.
Upsell opportunity?
Engagement trend?
Revenue forecast?
// Product Preview

Three views that tell
the whole story.

The anomaly feed, revenue risk matrix, and trigger builder — running live in the demo right now.

Open Live Demo →
// Anomaly Feed
2 active
HIGH
Churn Signal
18 users · $7,800 ARR at risk
HIGH
Session Spike
Power users · 3σ threshold exceeded
MED
Feature Drop
Dashboard export −44% vs 7d avg
MED
Rage Click Pattern
/settings/billing · 31 users
// Revenue Risk Matrix ARR-weighted
User ARR At Risk
Tobias M.
85% churn
$3,600 $3,060
Marcus C.
79% churn
$4,200 $3,318
Yuna K.
31% churn
$2,400 $744
// Trigger Builder 4 active
High Churn Alert
IF Churn risk > 65% → Slack
active · 14 fires
Win-Back Campaign
IF Session gap > 7 days → Email
active · 21 fires
Low Intent CRM Flag
IF Intent < 0.40 → HubSpot
active · 6 fires
Anomaly Webhook
IF Severity = HIGH → Webhook
paused
// Core Capabilities

Built to decode behavior
at machine speed.

Every action a user takes is a signal. AAE captures, interprets, and operationalizes those signals in real time — then lets an AI analyst explain what they mean.

[01]
Behavioral Event Streaming
Ingest raw user events at scale with zero data loss. Every click, scroll, session transition, and micro-interaction captured with full fidelity.
Real-Time
[02]
Intent Modeling
Transform behavioral sequences into probabilistic intent scores. Understand what a user is about to do before they do it — updated continuously.
Predictive AI
[03]
Cohort Intelligence
Automatically segment users into behavioral cohorts based on action patterns — not demographics. Dynamic, not static.
Segmentation
[04]
Anomaly Detection
Statistical anomaly detection running continuously. Know when something breaks from pattern — instantly. Every anomaly comes with full AI diagnostic context.
Monitoring
[05]
Revenue Risk Matrix
ARR-weighted churn exposure per user. See exactly which accounts are at risk, how much revenue is on the line, and what to do about it right now.
Revenue
[06]
Trigger Automation
Build behavioral triggers that fire actions in Slack, SendGrid, HubSpot, or any webhook — the moment a user crosses a threshold you define.
Automation
// How It Works

Five stages. One loop.

Raw events in, intelligent actions out — with an AI layer running across every stage.

STEP 01
INGEST
Raw behavioral events from web, mobile, API, or third-party. No sampling. No loss.
STEP 02
ANALYZE
Event sequences parsed, behavioral patterns identified, dynamic user profiles built continuously.
STEP 03
PREDICT
Intent scores, churn probabilities, anomaly signals — surfaced in under 50ms.
STEP 04
ACT
Triggers fire to Slack, CRM, email, or webhook automatically — no manual review loop.
⬡ AI LAYER
EXPLAIN
An AI analyst sits across all four stages — answer any behavioral question in plain English, in context, on demand.
// Automation Layer

Intelligence without action
is just a dashboard.

Every behavioral signal can fire a real-world action. Build triggers from scratch or install pre-built playbooks in one click.

// Playbook Templates
Popular
Win-Back Campaign
IF session gap > 7 days
→ Send email via SendGrid
Popular
Churn Prevention Alert
IF churn risk > 65%
→ Send Slack message
Power User Upsell
IF intent score > 0.85
→ Update HubSpot CRM
Onboarding Drop-Off
IF event count < 5
→ Send email via SendGrid
// Build Your Own
IF churn risk > —
→ Send Slack message
Fires to: Slack SendGrid HubSpot Webhook
// Use Cases

Built for any platform
where behavior matters.

01
SaaS Platforms
Understand feature adoption at the behavioral level. Identify power users, spot friction points, and predict trial-to-paid conversion before it happens. See your revenue at risk per user, not just aggregate churn rates.
02
Fintech & Trading Tools
Monitor user decision patterns in real time. Detect hesitation, risk-seeking behavior, and anomalous patterns the moment they emerge — with AI context that explains what drove the signal.
03
Marketplaces
Map the full behavioral path from discovery to purchase. Identify drop-off patterns at the funnel stage level and trigger retargeting or win-back sequences automatically at the inflection point.
04
Consumer Apps
Decode engagement loops at the session level. Know which behavioral sequences lead to retention — and which ones signal silent churn — weeks before a user disappears.
// Feature Breakdown

Every layer engineered
for production.

✓
Sub-50ms Signal LatencyBehavioral intelligence delivered in real time — not batch reports or hourly exports.
✓
AI Analyst — Context-AwareLoads the context of whatever you're viewing before you ask. Anomaly, user, cohort, or revenue risk — it knows.
✓
Revenue Risk MatrixARR-weighted churn exposure per user. Know exactly how much is at stake before you pick up the phone.
✓
One-Click Playbook TemplatesPre-built trigger templates for Win-Back, Churn Prevention, Upsell, and more. Install and activate in seconds.
✓
SDK & API-First ArchitectureDrop in a lightweight SDK or pipe events via REST or gRPC. Integrates in hours, not sprints.
✓
No-Sample Event CaptureEvery event, every user, every session — captured with full fidelity. No statistical approximations.
✓
Webhook & CRM IntegrationPush intelligence to Slack, SendGrid, HubSpot, or any downstream system with zero friction.
✓
Privacy-Compliant by DesignGDPR and CCPA-ready architecture. Behavioral intelligence without compromising data obligations.
// Early Access

Ready to ask your data
a direct question?

AI Analytics Engine is currently in early access. Fill out the form and we'll be in touch.