SuperviselyNot yet claimed

About Supervisely

Supervisely is a computer vision platform that carries a dataset from raw data to a deployed model and back again inside one system. Teams curate data by importing common formats such as COCO and YOLO, or by linking files held in S3, GCS and Azure storage, and then search projects by meaning. Dedicated labeling editors cover images, video, 3D LiDAR point clouds and meshes, medical volumes in DICOM and related formats, multispectral imagery and audio. AI assistants pre-label whole datasets from a text prompt or a single example, while reviewers keep control through labeling jobs, queues, consensus checks and exams, accepting or rejecting individual labels before they reach a model. Models can then be trained without code on the customer's own GPUs, reviewed through evaluation reports that break errors down by class and by image, and deployed through a prediction API, the open-source Python SDK or Docker.

Each deployed model can pre-label the next batch, closing the loop. The company states that more than 13,000 businesses use the platform, alongside 120,000 community users and over one billion labels created online. An Enterprise Edition runs on customer servers or cloud infrastructure, fully offline if required. The operating company, Supervisely OÜ, is based in Tallinn, Estonia; it began in 2013 as a computer vision consultancy and released the product in August 2017.

Products & services

• Supervisely Platform — End-to-end workflow from raw data to a deployed model: curation, annotation, review, no-code training, evaluation and deployment in cloud or on customer servers
• Labeling toolboxes — Dedicated editors for images, video, 3D LiDAR point clouds and meshes, DICOM/medical volumes, multispectral data and audio, with AI assistants and pre-labeling
• Supervisely Enterprise Edition — Self-hosted deployment on customer servers, private cloud or Kubernetes, or fully offline, with single sign-on and custom roles
• App Ecosystem and App Engine — 400+ apps for import/export, neural networks and data tools, plus App Engine for building custom labeling tools
• Python SDK, REST API and MCP integration — Open-source Python SDK and REST API to automate the platform, plus MCP support so AI agents can work in Supervisely

Questions partners ask

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Last verified	11 November 2026 — facts on this profile were checked against the sources listed below. Profiles are re-checked on a published 90-day cycle; this date is never quietly refreshed.

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Sources & verification

• Company website — supervisely.com (official site: profile facts, product range and markets as published). Checked 11 November 2026.
• Figures described in this profile as company-stated come from the company’s own public materials and were not independently audited by GlobleMatch.

Facts last verified: 11 November 2026. Something wrong? A listed company can request a correction or removal at any time; verified requests are actioned.

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