Boondi doesn't watch people. It watches spaces — and the space is always watching itself.
Boondi™ is a space-based AI platform that gives physical environments continuous, governed awareness of themselves — reasoning across sensors, time, and policy to produce insight, alerts, and safe automated action. Laocta AI Labs builds the intelligence and reasoning layer; Integral IoT builds the sensor integration and actuation underneath it — together, a space that can sense itself and respond to itself.
Most physical-monitoring systems get smarter by watching people more closely. Boondi does the opposite — it gets smarter about the space itself: its rhythms, its risks, its normal state — while remaining structurally unable to identify, profile, or track anyone in it.
Normalizes signals from cameras, LiDAR, radar, acoustic and vibration sensors, environmental probes, and infrastructure telemetry into one consistent picture of the space.
Understands how a space behaves across zones and over time, so it can tell an ordinary Tuesday from a pattern worth a closer look.
Every observation is checked against rules and thresholds set by the people who own the space, using deterministic logic that can be inspected and audited — not black-box guesswork.
Outcomes are proportional — an insight, an alert, or, only within pre-approved limits, an automated action. Where Boondi isn't confident, it stays quiet rather than overreacting.
Boondi classifies every physical environment into five categories, defined by how they behave — not by industry label. The reasoning engine is identical across all five; what changes is which sensors lead, how much automation is permitted, and who has to sign off.
Homes, offices, estates, malls. Comfort and privacy come first; automation stays limited to non-safety systems like HVAC and lighting.
Factories, warehouses, logistics hubs. Vibration, thermal, and acoustic signals combine to catch equipment failure before it happens.
Hospitals, schools, roads, government buildings, places of worship. Every action is alert-first, logged, and requires a human in the loop.
Forests, farms, water systems. Long-horizon, low-intrusion sensing — with no autonomous physical intervention, ever.
Smart cities, industrial corridors, national infrastructure. Multiple space types reasoned about together, with jurisdiction-specific policy at every layer.
Boondi is already configured for residential estates and educational institutions — dedicated write-ups on those coming soon.
Boondi is a partnership product. Laocta AI Labs designs the AI, the reasoning engine, and the policy logic — the part of Boondi that decides what a pattern means. Integral IoT builds the physical layer underneath it: sensor integration, ingestion, and actuation — the part of Boondi that reaches into the environment and lets it act. Neither half works as a product on its own; together, they're a space that can sense itself and respond to itself, safely.
This isn't a privacy policy layered on top of a surveillance system. It's a constraint on the architecture itself.
Boondi does not identify, authenticate, recognize, or track individuals. All sensing is scoped to non-identifying, aggregated signals.
No identities, behavioral profiles, or personal attributes are ever constructed — only anonymous, aggregated space-state metrics.
Rules, thresholds, and escalation logic are defined and owned by the space's operators and regulators — never by the AI.
Every observation, alert, and action is logged with a traceable reasoning path — reviewable by operators, regulators, and independent auditors.
| Intelligence core | Multi-layer AI model — perception, spatial–temporal reasoning, policy evaluation, response orchestration |
| Sensor & hardware layer | Delivered with Integral IoT — CCTV, ANPR, WIM, thermal, acoustic, vibration, environmental, and infrastructure telemetry |
| Deployment modes | Edge, on-premises, cloud, or hybrid — federated across sites without centralizing raw sensor data |
| Integration | APIs for system-to-system integration (VMS, BMS, SCADA, ERPs); SDKs for edge, embedded, and custom sensor stacks |
| Space editions | Habitable · Operational · Civic & Regulated · Natural & Resource · Integrated |
| Pricing model | Per-space unit pricing, based on space count, scale, sensor density, and policy complexity — not raw API volume |