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Composite stories from the kinds of teams we support — no logos, no public names. Evaluating us? Request a private reference check below.
The challenge: A last-mile delivery platform needed safety scoring and reliable trip detection inside the driver app. Couriers already carried phones; equipping every vehicle with hardware wasn’t realistic. Building sensor fusion in-house threatened a full roadmap cycle — and they still needed crash and behavior signals for coaching and risk ops.
How we helped: They embedded Damoov’s smartphone SDK in the driver app, kept their own UX and brand, and pulled trips, scores, and crash events into their backend over API. Hardware stayed optional for edge cases; the default path was phone-first.
Driving intelligence shipped as a product feature instead of a multi-quarter infrastructure project — same app drivers already use, with scores and events flowing into systems they already run.
The challenge: A consumer trip-app team wanted scored trips and activity detection on iOS and Android. Sensor fusion, battery impact, and false trip starts were the blockers — and stakeholders wouldn’t greenlight a big build without seeing a real scored trip first.
Mobility Platforms · SDK · Zenroad · API
How we helped: They started in the sandbox, proved the experience with Zenroad where needed, then embedded the SDK and called the API into their backend and DataHub. Trip detection, scores, and safety signals landed inside their app — not as a separate tracker product.
Engineering stopped owning low-level telematics plumbing. The product team could roadmap “scored trips in the product” as an integration, not a net-new sensor platform.
The challenge: An InsurTech company launching phone-based UBI (or driving insights) needed trustworthy trip and behavior signals fast enough for a product launch — plus a path to engagement and claims-adjacent events. Building the sensing stack would have delayed the program; a locked enterprise suite didn’t fit a self-serve tech buyer.
Insurance · UBI · SDK · API · Gamification
How we helped: They integrated as a product and engineering team: SDK in the policyholder or driver app, API into pricing and data pipelines, optional gamification for engagement. Public pricing and sandbox let them prototype without a long procurement theater.
A launchable UBI / insights data path measured in product sprints — not a sensor R&D program — with flexibility to wire scores and events into their own underwriting and engagement stack.
The challenge: A field-service agency’s proof-of-visit app needed to show that a visit happened at the right place and time. Manual check-ins were gameable; rolling out dedicated hardware to every tech was expensive. They needed visit records ops and billing could trust — via API, not only a dashboard.
How we helped: They used smartphone Proof of Visit for GPS visit verification, with records in the UI and API-Ready delivery (REST + optional webhook) into their own workflows. Location and compliance surfaces plug in where the job requires them.
Visit proof became a productized signal in their app and backend — verifiable jobs without a hardware-first rollout, and without waiting on an “API coming soon.”
The challenge: A traditional auto insurance carrier preparing a UBI expansion or FNOL-style digital claims signal needed phone-based trip and event data that could survive compliance review. The cycle was long and inbound-driven — once stakeholders aligned, they needed a credible program stack, not a cold pitch.
Insurance · UBI · FNOL · Accident Verification · API
How we helped: After they found Damoov through research and evaluation, the same SDK + API platform powered scored driving for the program and crash / claim-adjacent signals for FNOL workflows — integrated into carrier systems on their timeline.
The carrier could stand up or extend a phone-based program without owning sensor fusion, while keeping procurement and compliance in the driver’s seat.
The challenge: A driving school wanted objective feedback on student drives — braking, speeding, phone distraction — without buying in-car hardware for every training vehicle. Instructors needed consistent scoring across locations, and the school still had to keep its own scheduling and lesson UX.
How we helped: They embedded Damoov’s smartphone SDK in the instructor / student training app, scored lessons from the phone already in the car, and pulled trips and behavior events into their backend over API. Coaching stayed in their workflow; Damoov supplied the sensing and scores.
Lesson quality review became data-backed instead of purely subjective notes — the school could standardize coaching across instructors while keeping its brand and curriculum stack.
Ship trip detection and scores without building sensor fusion.
Pull scores, crashes, and visit data into your own systems.
Show place + time visit proof — API-Ready (REST + webhook).
Phone-based crash / accident signals for safety and claims workflows.
Turn crash callbacks into first-notice claim-adjacent workflows.
Compliance signals without rolling out vehicle hardware.
Behavior feedback loops — scores, tips, coaching in your product.
Location and trip context for field and monitoring use cases.
Keep drivers engaged with scores, challenges, and rewards tied to safer behavior.
Prototype scored trips and safety UX in Zenroad before you embed the SDK.
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