Add a camera to our VCU and the unit stops being a bike controller. It becomes a sensing-and-control node that fits any vehicle — turning the urban fleet into a live source of city intelligence. Terra becomes the edge layer that "physical AI for cities" platforms need but don't have.
A camera alone is a dashcam. Telemetry alone is a tracker. The VCU also controls the vehicle — so our node doesn't just watch, it responds.
Identifies what's there — potholes, broken signage, hazards, illegal parking.
IMU + GPS confirm where, and how severe — the jolt at the exact coordinate.
Acts on it — zone speed-governing, anti-theft immobilization, auto-dispatch.
A connected sensing-and-control node on every vehicle, capturing motion, location, and vision in real time — and able to act on the vehicle directly.
Standardized telematics protocol (JTT808 / CAN) streaming over our IoT infrastructure — interoperable with regulators and partners.
Fusing vision with telemetry into verified, geolocated insight — road condition, risk maps, anomaly and change detection.
Dashboards for operators and regulators — and agentic workflows that trigger corrective action automatically.
Six capabilities turn a raw camera-and-telemetry stream into decisions and actions — the same pillars a city-scale platform runs on, sitting on top of our edge.
Reads spatial and time-based patterns across the network to anticipate where infrastructure will fail and where service is needed next.
Turns raw footage into structured findings — defects, hazards, code violations, and gaps in service delivery — automatically.
Forecasts when an asset will need repair or replacement, and diagnoses the root cause of degradation before it becomes failure.
Tracks gradual wear (cracks, leaning signs, surface fade) and flags sudden events (missing, vandalized, or damaged assets).
On an event, it notifies the right agency, opens a work order, verifies the fix on a later pass, and learns from the outcome.
Fuses our feed with GIS, ERP, work-order, and traffic systems through an open API — a single live model of the street.
One node, one event, in near real time. This is the loop that repeats thousands of times a day across the fleet.
A rider passes a broken manhole cover. The camera frames it and classifies it as a road-surface defect.
→The IMU logs the impact g-force; GPS stamps the exact coordinate. Vision + physics = a verified, located defect, not a false positive.
→Severity is scored against every other defect in the zone, producing a ranked repair list instead of scattered citizen complaints.
→The municipality's maintenance queue updates automatically; riders can be rerouted around the hazard in the meantime.
Same loop, different trigger: a blocked bike lane, a dark streetlight at night, a flooded underpass, a swerve cluster at a junction. The node sees it, proves it, and routes it to whoever fixes it.
Grouped into the value it creates for the city, for fleets, and for the vehicle itself.
Potholes, cracks, broken covers, eroded markings — detected and graded by severity.
Vehicles blocking bike lanes, bus stops, hydrants, or loading zones.
Damaged or missing signs, faded markings; dark street segments detected at night.
Open trenches, debris, unmarked works, flooding and standing water.
Clusters of harsh braking and swerving reveal dangerous junctions before crashes happen.
Change detection on bus shelters, road furniture, and signage over time.
The node caps speed automatically in school zones and pedestrian areas.
Tamper and crash detection, remote immobilization, GPS recovery.
Battery and drivetrain telemetry predicts failures and optimizes swaps.
Blocked curb ramps, obstructed crossings, and non-compliant pavements detected for accessibility audits.
Automated checks against city regulations — unpermitted works, encroachments, illegal signage.
Anomaly detection flags assets that are suddenly damaged, defaced, or gone.
Detects where a service didn't happen — uncollected waste, uncleared spill, missed maintenance.
An event opens a work order, routes it to the right team, and a later pass verifies the repair.
Cracks, trip hazards, and surface wear on footpaths — not just roads.
Overflowing bins, litter accumulation, illegal dumping, and uncleared debris detected and located.
Cities run on field inspections and citizen complaints — slow, partial, and reactive. A moving fleet gives them continuous, verified ground truth, aligned with smart-city master plans like Dubai 2040 and NEOM.
Prioritized, severity-ranked repair lists replace complaint-driven patching — lower cost per km maintained, faster response.
Black-spot and near-miss data to redesign dangerous junctions and target enforcement before accidents occur.
Always-current inventory of signage, lighting, and street furniture with condition scoring — no manual surveys.
Real-time detection of flooding, blockages, and hazards feeding incident response and the city digital twin.
Overflowing bins, illegal dumping, and uncleared debris flagged for the relevant department automatically.
A live street-level data feed into the city's operating picture — the edge layer their platform vendors lack.
Fewer manual surveys and on-site visits — the fleet inspects continuously as it works.
Automated, consistent monitoring reduces missed violations and penalty exposure.
Every road a bike touches is watched — not just the streets a crew reached this month.
Issues are detected and routed in real time instead of waiting on complaints.
Analytics give planners hard data on conditions, risk, and service performance.
Hazard and black-spot detection improves public safety and service transparency.
Anyone can source a camera and an IMU. The company that becomes the telematics spec a regulator trusts is the one that wins. Hardware commoditizes — an approved regulatory position does not.
Fresh, verified road and infrastructure data sold to regulators, mappers, and logistics operators.
License the VCU + dashboard to other two-wheeler and vehicle fleets across the region.
Crash, overspeed, and behavior signals feeding usage-based insurance and safety scoring.
Zone governance, anti-theft, and self-healing dispatch — services a dashcam can't offer.
Seven buyer segments across the region, each purchasing a different slice of the same node and data layer.
Camera + VCU on a small set of our own bikes. Fuse vision with telemetry; validate one use case — road-condition mapping.
Use the RTA / Kuwait protocol work to position the unit as an approved spec and a data feed to the regulator.
Aftermarket retrofit on selected vehicle classes, then broaden across the urban fleet.
It's a hardware + data-platform business — different capital and go-to-market than delivery. We stage it so the bet is optional, not all-in.
Telemetry isn't reliable yet, even on our own standardized bikes. Fixing data accuracy is a prerequisite — we don't generalize shaky hardware.
"All vehicles" is hard in practice — power, mounting, CAN buses, per-country certification. Retrofit on a few classes first.
The category has global players. Our edge is regional reach + the control layer + the regulator relationship — not inventing the dashcam.
One vehicle class. Our own fleet. One validated use case. A clear go / no-go before any third-party expansion. Low downside, optional upside, staged.