Supervisely OÜ
Supervisely provides an end-to-end computer-vision platform for curating, labeling and managing visual data and building production AI models. Its stated mission is to make building AI fun and to help enterprises move from raw data to AI without reinventing the required tooling.
At a Glance
- Fortune 500 and enterprise computer-vision teams
- AI/ML researchers and universities
- Startups and smaller businesses
- Data-labeling teams and annotation providers
- +6 more
AI Tools by Supervisely OÜ
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Supervisely
Computer Vision Labeling Platform
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Latest News
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Ultimate Guide on Multiview Image Annotation for Custom Training Datasets
Introducing Video Annotation 3.0 with AI-powered auto tracking, enhanced tag management and redesigned UX
Products & Services
Web-based computer-vision platform for data curation and management, image/video/3D/medical annotation, collaboration, neural-network training and deployment.
Free hosted edition for open-source projects, individuals, ML researchers and small teams.
Hosted plan for startups, labeling teams and smaller businesses, starting at €199 per month.
Custom cloud or self-hosted/on-premise AI infrastructure with advanced security, governance, integrations, support and private applications.
Market Position
Supervisely positions itself as an extensible, OS-like computer-vision platform rather than a narrow annotation tool: it combines multimodal labeling, data management, QA, model training/inference, MLOps and an open Apps ecosystem. Its differentiators are deployment on a customer's own infrastructure, support for sensitive data, broad image/video/3D/medical modalities, and deep API/SDK customization. Relevant competitors include Labelbox, CVAT, V7, Encord, Supervisely's other annotation-platform peers, and model/data platforms such as Roboflow and Scale AI.
Leadership
Founders
Denis Drozdov
Data-science and machine-learning practitioner; previously founder and CEO of Deep Systems. Supervisely lists him as Founder and Co-CEO.
Maxim Kolomeichenko
PhD in machine learning/computer vision and technology leader; founder and CTO/Co-CEO of Supervisely.
Yuri Borisov
PhD and computer-vision/AI researcher; previously co-founder and Chief R&D Scientist at Deep Systems. He co-founded Supervisely and was CEO through 2023, according to his public profile.
Executive Team
Denis Drozdov
Founder, Co-CEO
Data-science and machine-learning practitioner; previously founder and CEO of Deep Systems.
Maxim Kolomeichenko
Founder, CTO, Co-CEO
PhD machine-learning/computer-vision specialist and technology leader.
Founding Story
The founders began a computer-vision consulting business in 2013 and built internal tools to automate and accelerate machine-learning R&D for clients worldwide. In 2017 they shifted the primary focus from services to product, released Supervisely in August 2017, and developed an extensible platform around the problems they had repeatedly encountered in taking visual data to AI.
Business Model
Revenue Model
Freemium hosted software subscription: a free Community plan, paid Pro subscriptions for startups/labeling teams/smaller businesses, and custom-priced Enterprise cloud or self-hosted licenses. Additional monetization includes paid storage/member/labeling-hour add-ons, managed annotation workforce and consulting/customization services.
Pricing Tiers
For open-source projects, individuals, ML researchers and small teams; includes 5 GB storage and 10,000 files.
For startups, labeling teams and smaller businesses; 50 GB storage, with add-ons such as 100 GB for €40 and Image Max/Video Max options.
Self-hosted or cloud solution for companies with custom requirements; unlimited/custom resources, private SaaS and enterprise support.
Target Markets
- Fortune 500 and enterprise computer-vision teams
- AI/ML researchers and universities
- Startups and smaller businesses
- Data-labeling teams and annotation providers
- Automotive, transportation and sensor-fusion organizations
- Manufacturing and industrial-inspection companies
- Building training datasets for computer-vision and deep-learning models
- Object detection, segmentation, classification, tracking and pose-estimation annotation
- Camera and LiDAR sensor-fusion workflows
- Medical imaging annotation for CT, MRI, DICOM, NRRD and NIfTI
- Industrial inspection, manufacturing and infrastructure inspection
- Agriculture and plant/field analysis
- BMW
- Renault Group
- ENGIE
- Bentley