One engine.
Everything runs on it.
Biometric · Cognitive · Behavioral signal processing. The proprietary data flywheel that powers Pulse, Nudge, Guardian, and Pilot — compounding with every deployment.
Core Engine
The proprietary Behavioral Signal Processing Platform.
Four products. One underlying engine. Every deployment adds to a behavioral data flywheel that no competitor can replicate because it requires years of real-world signal collection to build.
Layer 01
Biometric Signal Processing
Passive capture of physiological and environmental signals. No wearables required — derived from ambient interaction patterns, typing cadence, mouse dynamics, and environmental sensors.
Layer 02
Cognitive Index Engine
Real-time cognitive load scoring derived from behavioral signal clusters. Detects attention drift, decision fatigue, and flow state — mapped to role-specific baselines built from aggregated anonymised data.
Layer 03
Behavioral Delta Engine
Pattern divergence detection against individual and cohort baselines. Identifies behavioral drift, intervention trigger points, and adoption friction — the intelligence layer that powers Nudge and Pilot.
The Data Flywheel
Every deployment makes the engine smarter. For everyone.
Aggregated, anonymised signal data from every customer deployment feeds back into the core engine — improving baseline accuracy, intervention precision, and behavioral pattern detection. The more we deploy, the wider the moat.
Architecture
How signals flow through the platform.
From raw behavioral input to product-level intelligence — the complete data flow in four stages.
Signal Ingestion
Raw biometric, cognitive, and environmental signals captured passively. 24 distinct input types. REST + WebSocket ingest endpoints.
Signal Processing
Real-time normalization, baseline comparison, and ML-based pattern classification. Runs on distributed edge-proximate compute.
Intelligence Layer
Behavioral delta scoring, cognitive indexing, ethics governance checks, and intervention trigger logic. The proprietary moat.
Product Delivery
Outputs routed to Pulse dashboards, Nudge interventions, Guardian audit trails, and Pilot KPI tracking — via native integrations.
Signal Ingestion
Raw biometric, cognitive, and environmental signals captured passively. 24 distinct input types. REST + WebSocket ingest endpoints.
Signal Processing
Real-time normalization, baseline comparison, and ML-based pattern classification. Runs on distributed edge-proximate compute.
Intelligence Layer
Behavioral delta scoring, cognitive indexing, ethics governance checks, and intervention trigger logic. The proprietary moat.
Product Delivery
Outputs routed to Pulse dashboards, Nudge interventions, Guardian audit trails, and Pilot KPI tracking — via native integrations.
Signal Layers
What we measure. How we measure it.
Signal Taxonomy
Keystroke dynamics
Cadence, dwell time, flight time, error rate patterns
Mouse & pointer dynamics
Velocity, hesitation, tremor, path efficiency
Attention & focus index
Application switch frequency, idle patterns, task persistence
Decision latency
Time-to-action on recurring task types vs personal baseline
Workflow adherence delta
Deviation from established behavioral patterns — the drift signal
AI tool adoption signals
Usage frequency, avoidance patterns, override behaviors for AI features
Collaboration pattern shifts
Communication velocity, response latency, participation index changes
Integrations & API
Plugs into your stack. Doesn't replace it.
OntarioAI surfaces behavioral intelligence inside the tools your teams already use. Native Phase 1 integrations with the three largest HR platforms — plus a documented REST API for everything else.
View full API documentation →Key Endpoints
Security & Privacy
Privacy-first by design. Not by policy.
Every architectural decision in the OntarioAI platform was made with individual privacy as a constraint — not a feature to add later.
Certifications
SOC 2 Type II
Annual audit · Current
ISO 27001
Information security management
GDPR Compliant
EU data processing agreements
ISO 42001
AI management system standard
EU AI Act Ready
High-risk system classification covered
Data Architecture Principles
Aggregated only
Individual signals are never stored raw. All data is immediately aggregated to cohort or role level before persistence.
k-anonymity enforced
No cohort smaller than k=5 is ever reported. Individual re-identification is structurally impossible, not just policy-prohibited.
Data residency controls
Customer data stays in their chosen region. EU customers' data never leaves EU infrastructure. GCC sovereign options available.
AES-256 encryption
All data encrypted at rest and in transit. Customer-managed encryption keys available on Enterprise tier.
Zero Individual Exposure
What your employees will never see on a dashboard.
Individual behavioral scores or rankings
Named employee signal data
Surveillance-style monitoring output
Real-time location or device tracking
Ready to see it in your
industry context?
Every demo is personalised to your regulatory environment, your existing stack, and your specific compliance obligations. No slide decks.