# Captur > The on-device visual AI platform for logistics and transportation. Captur validates photos in real time on any mobile device to protect quality and grow brand reputation at scale. ## Company - Website: https://www.captur.ai - Industry: AI / Computer Vision / Logistics - Headquarters: Jersey City, NJ (US) and London, EC2M 4YJ (UK) - Founded by: Charlotte Bax ## What Captur Does Captur provides an on-device AI SDK that validates photos captured by mobile workers — delivery drivers, micromobility riders, fleet inspectors, and field teams. The AI runs in real time on the device itself (sub-200ms latency), guiding users to capture the right photo before they move on. This eliminates bad data at the source rather than catching it after the fact. Key capabilities: - Real-time photo validation on iOS and Android (React Native, native SDKs) - Proof of Delivery (PoD) verification - Parking compliance for micromobility - Fleet damage inspection and condition tracking - Policy-configurable validation rules per use case - 6,000+ device coverage ## Pages - [Home](https://www.captur.ai/) - [For Micromobility](https://www.captur.ai/use-cases/micromobility) - [For Delivery](https://www.captur.ai/use-cases/delivery) - [For Vehicle Inspection](https://www.captur.ai/use-cases/vehicle-inspection) - [For Retail & Returns](https://www.captur.ai/use-cases/retail-returns) - [For Insurance Claims](https://www.captur.ai/use-cases/insurance-claims) - [Captur Builds](https://www.captur.ai/builds) - [Blog](https://www.captur.ai/blog) — articles, customer case studies, press coverage, and engineering notes - [SDK Documentation](https://captur-mobile-sdk.readme.io/docs/introduction) - [About Us](https://www.captur.ai/company) - [Contact](https://www.captur.ai/contact) - [FAQs](https://www.captur.ai/faq) — on-device vs cloud, LLMs, Core ML / ML Kit, accuracy, privacy, pricing - [Full case study content for LLMs](https://www.captur.ai/llms-full.txt) ## Frequently Asked Questions ### Why on-device instead of cloud? Latency, reliability, and economics. Cloud vision calls take at least 1 second end-to-end from a real phone on LTE — Captur takes 30ms. Cloud APIs need a signal your users don't always have. And you'll never run into LLM capacity constraints or unsustainable token costs. ### Why not just prompt GPT-5 or Gemini with the image? LLMs are fine upstream — for content moderation or rich multimodal reasoning. They're the wrong primitive for real-time mobile validation: 1–5 seconds per call, no offline, non-deterministic outputs, per-call cost that scales with your business. An LLM can describe a photo. Captur decides whether it's the right photo. ### How is this different from Core ML or ML Kit? Core ML is iOS-only; ML Kit is Android-focused. Captur is cross-platform from one policy — Swift, Kotlin, React Native, Flutter — and ships model updates over the air rather than through an app-store release. You define policy in business terms, not against raw model output. ### What happens when the model gets it wrong? Every false positive and false negative is captured and triggers an automated improvement cycle. The model improves with your edge cases. Updates ship over the air. Policy versions are auditable. You can override the model from your app at any time. ### What about privacy and compliance? On-device means most data never leaves the user's phone. SOC 2 Type 2 and GDPR compliant. PII can be detected and rejected before any image leaves the device. ### What does pricing look like? Committed consumption-based, with a paid pilot for new customers. We size against your expected volume and use case. Talk to us: https://calendly.com/michael-captur/30min ## Case Studies ### GoBolt Launches Next-Gen AI Proof of Delivery Technology with Captur - URL: https://www.captur.ai/case-studies/gobolt-delivery - Company: GoBolt - Industry: Delivery - Location: US & Canada - Published: 2025-03-29 GoBolt and Captur have joined forces to introduce meaningful innovation to the logistics sector. GoBolt is a tech-enabled logistics provider across the U.S. and Canada; Captur's on-device AI validates proof-of-delivery images in real time. Key results: 30% Reducing DNR in just one week; 96% User engagement with real-time AI; 4 weeks From integration to fully operational. > "The ROI was immediate and measurable. We integrated Captur's SDK in four weeks and saw DNR claims drop 30% in week one. What impressed me most wasn't just the AI accuracy, it was that delivery associates didn't slow down. Any tech that adds friction at delivery kills operational efficiency. Captur proved you can have both higher quality and faster throughput, which frankly, most 'AI solutions' in logistics can't deliver on." — Heindrik Bernabe, CTO & Co-Founder at GoBolt ### AI-Guided Parking: The Key to Safer Free-Floating Cities - URL: https://www.captur.ai/case-studies/micromobility-atom-mobility - Company: Atom Mobility & Hoog - Industry: Micromobility - Location: Estonia - Published: 2024-07-30 Atom and Captur are helping smaller cities across Europe launch micromobility rental schemes without having to pay for expensive infrastructure changes (mandatory parking zones), adopting a free-floating setup. With Atom's suite of micromobility technology and Captur's AI-guided parking solutions, operators like Hoog are able to scale with ease while reducing 80-90% of their time reviewing parking images. Key results: 82% Bad Parking Incidents Eliminated; 80-90% Reduction in time spent reviewing parking photos; 7 New regions entered in the last 12 months. > "The integration of AI-driven parking analysis, has not only helped strengthen our relationships with existing city councils but has also made Hoog an attractive partner for future collaborations. Furthermore, Captur has played a pivotal role in our successful expansion into new cities this year, enabling us to proactively build a culture of responsible parking from day one in new markets." — Holger Ollema, Co-Founder of Hoog Mobility ### On the Paris parking case - URL: https://www.captur.ai/case-studies/micromobility2-paris - Company: Captur - Industry: Micromobility - Location: Paris - Published: 2024-07-30 How do people really park in Paris? Captur uses AI and parking data to separate rider behaviour from infrastructure gaps — and to support safer, more sustainable micromobility in the 15-minute city. Key results: 78% of rides end with safe parking; 80% of bad parking tied to signage or lack of suitable parking spots; 30 parking scenarios Captur can detect; 3 seconds typical time for parking feedback. ### Zapp scales a global fleet with Captur - URL: https://www.captur.ai/case-studies/delivery - Company: Zapp - Industry: Delivery - Location: London, United Kingdom - Published: 2025-06-12 When time is money, creating a scalable process is key for rapidly-growing industries like last mile. For already busy fleet managers, creating an easy, automated process, is a priority for quickly scaling businesses Key results: 5 hours saved per week; 20.3% increase fleet uptime; 10 days faster to fix damage report issues. > "Captur transformed our fleet process from dependence on spreadsheets to a one platform reporting system. It enables the stores and suppliers to benefit from real-time data and provide effective resolve for a great uptime" — Nadeem, Fleet Manager ### How AI is riding to the rescue to keep streets safe in a changing world - URL: https://www.captur.ai/case-studies/micromobility-3-unitary - Company: Unitary - Industry: Micromobility - Location: London, United Kingdom - Published: 2024-07-30 Captur and Unitary are joining forces to make micromobility work for everyone by giving suppliers, customers and local authorities the AI tools they need to keep streets safe and uncluttered. > "Visually impaired and blind people have been particularly vocal about their concerns, with several charities calling for micromobility schemes to be scrapped" — The Guardian, 2022 ### Buzzbike tracks damage and builds trust with Captur - URL: https://www.captur.ai/case-studies/micromobility-4-buzzbike - Company: Buzzbike - Industry: Micromobility - Location: London, United Kingdom - Published: 2024-07-30 Buzzbike's collaboration with Captur led to efficient tracking of bike conditions and a fourfold increase in settled damage claims, boosting customer trust and satisfaction. Key results: 4x increase in damage claims settled; 4.8 Trustpilot rating. > "The whole team is seeing the same information, and there's massive comfort in knowing that information isn't being lost." — Charlotte, Head of Rider Happiness