Visionplatform.ai
Visionplatform.ai offers an end-to-end, no-code computer vision platform that allows users to effortlessly implement AI vision technology. The platform supports both cloud and edge computing, enabling the creation of custom AI video analytics projects within minutes, even for those without technical expertise. Key product offerings include animal detection, drone-based people and vehicle detection, fire and smoke detection, license plate recognition, and optical character recognition. The company differentiates itself by enabling rapid deployment (under 10 minutes for a first model), high accuracy (>98% with retraining), and a focus on user data ownership. They cater to system integrators and operations teams, aiming to reduce deployment time by up to 80% compared to other solutions. Their platform allows for customization of pre-built algorithms or the creation of custom ones, with a focus on real-time data processing and event monitoring.
Visionplatform.ai
Visionplatform.ai offers an end-to-end, no-code computer vision platform that allows users to effortlessly implement AI vision technology. The platform supports both cloud and edge computing, enabling the creation of custom AI video analytics projects within minutes, even for those without technical expertise. Key product offerings include animal detection, drone-based people and vehicle detection, fire and smoke detection, license plate recognition, and optical character recognition. The company differentiates itself by enabling rapid deployment (under 10 minutes for a first model), high accuracy (>98% with retraining), and a focus on user data ownership. They cater to system integrators and operations teams, aiming to reduce deployment time by up to 80% compared to other solutions. Their platform allows for customization of pre-built algorithms or the creation of custom ones, with a focus on real-time data processing and event monitoring.
TL;DR
Product: No-code end-to-end computer vision platform for cloud, edge, and on‑prem deployments
Use cases: Animal, people/vehicle (drone), fire/smoke, license plate recognition, OCR
Deployment speed & accuracy: Claims: first model in under 10 minutes; >98% accuracy after retraining
Headcount: 8 employees
Funding: Early-stage raise in 2023 (reported €350k / $380k)
Rotterdam, The Netherlands
Company Overview
Problem Domain
Operational video analytics / computer vision for surveillance, asset monitoring, and automated incident detection
Industry
Computer vision / AI
Tech Stack
Funding Track Record
€350000
Dealroom lists a €350k seed entry in Sep 2023; investor names not disclosed. Crunchbase lists one pre-seed round without public amounts or investor names.