Baseline
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
P26 · Automotive, Navigation & Mobility
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
Use it in Mappls Pro
Simulate multimodal routes, traffic-aware ETA, truck and two-wheeler constraints, EV charging stops, guidance and rerouting behaviour. Use a one-click demo profile, enter as Product manager, Navigation engineer, Fleet planner or choose another application-specific role.
Customer and operating context
The executive question
What safety decisions could improve if the vehicle knew the road beyond sensor range?
The Mappls response
HD/lane and road-attribute maps, speed limits, curvature, hazards, accident blackspots, predictive horizon, safety alerts and validation services.
Mappls connects proprietary map and location intelligence with hd/lane and road-attribute maps, speed limits, curvature, hazards, accident blackspots, predictive horizon, safety alerts and validation services. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Value and ROI hypothesis
Fewer safety events and false alerts; faster ADAS development; improved risk prioritisation and safer routing.
Agree the current volume, time, cost, failure, risk or revenue metric before implementation.
Measure data fit, workflow completion, coverage, adoption and decision speed during the proof.
Translate the operating improvement into revenue, cost, risk, service or asset-utilisation impact.
Use agreed success criteria to choose production scope, ownership and commercial model.
Departments and operating ownership
Owns the business or mission outcome and defines where ADAS, HD Maps & Road Safety Intelligence creates measurable value.
Translates the desired outcome into product, service, workflow and adoption requirements.
Connects users, operational data and day-to-day decisions so the capability becomes part of real work.
Provides the data, integration, security and governance foundation required for trusted production use.
Measures performance, risk, compliance and continuous improvement after deployment.
Programme readiness
Proof of value
Representative corridor pilot comparing map horizon and safety attributes with vehicle/sensor observations.
Representative corridor pilot comparing map horizon and safety attributes with vehicle/sensor observations.
Attribute accuracy and freshness accepted; alert precision/recall threshold met; integration latency and coverage proven.
Why Mappls
Continuously updated India road intelligence linked to navigation, traffic, field survey and government safety programmes.
Lane, road attribute, risk and predictive horizon data
Product detailsLive/historical traffic, ETA and safety/road events
Product detailsBattery/portable/asset location and alert devices
Product detailsGeotagged 360 imagery, photos and videos
Product detailsCommercial path
Data licence/royalty + validation services + update subscription.
Expansion path
OEMs need differentiated, localised navigation that remains accurate across vehicle life while meeting SOP, cost and quality gates.
ExploreUnsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
ExploreMotor risk and claims decisions lack continuous driving, road and location context, while assistance dispatch is slow.
ExploreInspection evidence, condition history and maintenance priorities are fragmented, making risk-based intervention and audit difficult.
ExploreYour outcome, powered by Mappls
We’ll help define the smallest proof that can answer the production decision with credible evidence.