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FocalX
Computer vision
København

FocalX

AI-powered vehicle inspection platform that automates damage detection and condition tracking for the automotive industry.

Status: Redaktionelt indsamletSidst gennemgået: 2. april 2026
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Hvad er FocalX?

Focalx is a Copenhagen-based AI company (founded 2021) that builds an AI-powered vehicle inspection platform. It automates damage detection, condition tracking, and claims recovery for the automotive industry across 10+ segments, with notable clients including Sixt Denmark and Auto Fleks.

Focalx is a Copenhagen-based computer vision / AI company founded in 2021 that builds an end-to-end vehicle inspection platform for the automotive industry. The company was founded by Isabella Agdestein (CEO), Pritam Bolenwar (CTO), Nishchith Uchil (VP Product), and Carlos Pasquali (VP Customer Success), inspired by a personal frustration with unfair rental car damage charges. The platform automates vehicle damage detection using computer vision AI across three layers — Inspect (capture), Stream (workflows), and Recover (claims data).

Teknologier & Kompetencer

Computer visionvehicle inspection AIinsurance/automotive

Redaktionel metode & kilder

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Profilen er redaktionelt indsamlet på baggrund af offentlige kilder og research-noter.

Produkt

Produktnavn
Focalx Platform (Inspect, Stream, Recover) + Focalx Gates

AI-powered, end-to-end vehicle inspection platform that automates damage detection, condition tracking, and claims recovery. The platform has three layers: (1) Inspect — capture layer for detecting vehicle damage and securement issues via smartphone camera or fixed Gates; (2) Stream — workflow layer that automates tasks and cross-company collaboration after inspections; (3) Recover — data layer that syncs inspection data into claims systems. Includes mobile apps (iOS/Android), SDK for integration, and a Plug & Play API.

Nøglefunktioner
AI-powered damage detection via smartphone camera (dents, scratches, etc.)Guided capture workflows for standardized inspectionsFixed drive-through "Gates" for high-throughput locationsVehicle condition history tied to VIN (system of record)Automated task/workflow creation from detected damagesStandardized damage severity classificationClaims-ready data output with API integrationMobile apps for iOS and AndroidSDK integration for embedding in existing appsPlug & Play API for customers with existing image capture systemsMulti-language platform (EN, FR, PT, ES, DE)Cross-company collaboration and dispute resolution toolsPre-trained on anonymized and synthetic data — no customer training required
Prismodel
SaaS / demo-based — pricing not publicly listed. Customers request a demo to get started. Can start with a single location and scale. ROI typically reported within 3–6 months.

Målgruppe & Kunder

Målindustrier
Finished Vehicle LogisticsYard OperationsRail OperationsHaulaway OperationsCar RentalAutomotive RetailAutomotive MarketplacesAuto InsuranceFleet ManagementVehicle Subscription Services
Bemærkelsesværdige kunder
Sixt DenmarkAuto FleksLETBragesMaul Biler

Teknologi Stack

Amazon Web Services (AWS)AWS Aurora (PostgreSQL-compatible database)AWS SageMaker (AI/ML model development and training)AWS S3 (data storage)AWS Lambda (serverless compute)AWS SQS (message queuing)CDN with multi-region supportMultiple computer vision models running in parallel per imageREST API

Konkurrenter

TractableRavin AIUVeyeBdeoClaimGeniusTchekInspektlabsWeProovRecord360Click-Ins

Ofte stillede spørgsmål om FocalX

What is Focalx and what does it do?▼
Focalx is a Copenhagen-based AI company (founded 2021) that builds an AI-powered vehicle inspection platform. It automates damage detection, condition tracking, and claims recovery for the automotive industry. Users photograph a vehicle with a smartphone or drive through fixed "Gates," and the AI identifies dents, scratches, and other damage in real time, generating standardized inspection reports.
How does Focalx's AI detect vehicle damage?▼
Focalx runs multiple AI models in parallel on each uploaded image. The pipeline first detects whether the image shows a car, identifies its position and visible car parts, then runs damage detection models, validates the detected damages, and finally assigns severity levels. The system is pre-trained on real-world data including vehicles in various weather conditions and states of cleanliness.
Who founded Focalx?▼
Focalx was founded in 2021 by Isabella Agdestein (CEO) and Pritam Bolenwar (CTO), joined by Nishchith Uchil (VP Product) and Carlos Pasquali (VP Customer Success). The company originated from Agdestein's personal frustration with an unfair rental car damage charge.
How much funding has Focalx raised?▼
Focalx raised €1.8M (~$2.03M) in a seed round in February 2025, led by byFounders (partner Sara Rywe) with angel investors Christian Brink Frederiksen and Tony Beltramelli.
What industries does Focalx serve?▼
Focalx serves 10+ automotive segments: finished vehicle logistics, yard operations, rail operations, haulaway operations, car rental, automotive retail, automotive marketplaces, auto insurance, insurance brokerage, fleet management, and vehicle subscription services.
How quickly can customers see ROI with Focalx?▼
Most customers see ROI within the first 3–6 months, depending on inspection volume and processes. Some clients, like Brages, reported ROI within the first month by catching damage they would have otherwise missed.

Virksomhedsdata

  • LokationKøbenhavn, DK
  • BrancheComputer vision
  • GrundlagtIgangværende system data-validering af infomation eller opdatering..
  • StiftereIsabella Agdestein (Co-founder & CEO), Pritam Bolenwar (Co-founder & CTO), Nishchith Uchil (Co-founder & VP Product), Carlos Pasquali (VP Customer Success)
  • Medarbejdere50
  • Funding€1.8M (~$2.03M) seed round (February 2025, led by byFounders)
  • Investorer
    byFoundersChristian Brink Frederiksen (angel)Tony Beltramelli (angel)
  • PrismodelSaaS / demo-based — pricing not publicly listed. Customers request a demo to get started. Can start with a single location and scale. ROI typically reported within 3–6 months.
  • CVR-statusAktiv
  • VerificeretNej
  • ProfilstatusRedaktionelt indsamlet
  • Sidst gennemgåetapril 2026
Links
WebsiteLinkedIn

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