CVAT.ai Corporation
CVAT.ai transforms raw, unstructured visual and audio data into high-quality datasets for AI. Its data-annotation suite can be self-hosted, used as a managed cloud service, or supported by CVAT's professional labeling team.
At a Glance
- Individual researchers and students
- Machine-learning and data-science teams
- Startups and scaleups building computer-vision products
- Enterprise AI teams requiring private, controlled deployments
- +1 more
AI Tools by CVAT.ai Corporation
(1)
CVAT
Computer Vision Data Annotation
Discussions
No discussions yet
Be the first to start a discussion about CVAT.ai Corporation
Latest News
CVAT goes multimodal and introduces audio annotation.
Quality Requirements provide granular, multi-criteria annotation-quality checks.
Region of Interest enables auto-labeling only in selected areas.
New layer controls improve organization of overlapping annotations.
Products & Services
Free, open-source, self-hosted annotation platform for image, video, 3D and audio datasets, with full control of the deployment stack.
Fully managed cloud annotation service with Free, Solo, and Team plans, collaborative workflows, AI-assisted labeling, quality control, analytics, API access, and dataset export.
Commercial self-hosted edition for enterprise teams, deployable in a VPC, on-premises, or air-gapped environment, with SSO, RBAC, auditability, support, SLAs, and customization.
Managed annotation service using CVAT's professional annotators and domain experts for image, video, 3D point-cloud, and audio projects.
Market Position
CVAT positions itself as an open-source-first alternative to commercial data-labeling platforms such as Labelbox, Supervisely, Encord, V7, Roboflow, and Label Studio. Its differentiation is broad multimodal support, self-hosting and data control, extensible APIs/SDKs, AI-assisted annotation, and an enterprise edition alongside a free community edition and managed labeling services.
Leadership
Founders
Nikita Manovich
Co-founder and CEO; original CVAT architect and lead developer. He was an Intel software engineer and Team Lead of Data Infrastructure when CVAT began, and built the core engineering team and open-source community.
Boris Sekachev
Co-founder and CTO; lead frontend developer and primary contributor to CVAT during its Intel period. He joined Intel as an intern in 2017 and now leads product and technical strategy.
Executive Team
Nikita Manovich
Co-founder & CEO
Original CVAT architect and lead developer; formerly an Intel software engineer and Team Lead of Data Infrastructure.
Boris Sekachev
Co-founder & CTO
Former Intel CVAT lead frontend developer and primary contributor; oversees product and technical strategy.
Founding Story
CVAT began at Intel in 2017 as an internal tool because computer-vision engineers faced an annotation bottleneck and existing tools were closed, limited, or difficult to scale. The team enhanced the open-source VATIC tool, released CVAT on GitHub in 2018, and spun the project out as an independent company in July 2022 to turn the open-source platform into a broader data-centric AI business.
Business Model
Revenue Model
Freemium and subscription SaaS through CVAT Online; paid enterprise self-hosted licenses/subscriptions and support; and project-based professional data-labeling services.
Pricing Tiers
Free, self-hosted open-source edition.
Core editor, manual review, Ground Truth and Honeypot QA, API access, and annotation export.
Individual professionals; adds full dataset export, analytics, batch auto-annotation, and SAM 2/SAM 3 image segmentation.
In-house teams and outsourced labelers; adds shared organization workspace, assignments/reviews, RBAC, SSO, and audit logs.
Single-instance deployment with essential support.
Advanced deployment, customization, and priority expert support.
Target Markets
- Individual researchers and students
- Machine-learning and data-science teams
- Startups and scaleups building computer-vision products
- Enterprise AI teams requiring private, controlled deployments
- Automotive, robotics, geospatial, infrastructure, logistics, manufacturing, healthcare, retail, security, and media organizations
- Computer-vision model training and evaluation
- Autonomous vehicles, mobility, drones, and robotics
- Geospatial analytics, mapping, and remote sensing
- Infrastructure inspection and energy assets
- Logistics, warehouse automation, and manufacturing quality control
- Healthcare and medical AI research
- Vivint Smart Home
- Vimaan
- Kombai
- Fernride