About CV Platforms & Data Infrastructure
The CV Platforms & Data Infrastructure category is part of the Computer Vision market map, tracking 20 companies building in this segment. Real-time visual understanding for autonomous systems, medical imaging, industrial inspection, and more. Curated by Hartmann Capital's venture research team.
Companies in CV Platforms & Data Infrastructure
- Roboflow — Series B, $40M
- Clarifai — Series C, $100M
- LandingAI — Series A, $159M
- Ultralytics — Seed, $3.6M
- Viso.ai — Seed, $5M
- Voxel51 — Series B, $30M
- Groundlight — Series A, $18M
- alwaysAI — Series A, $16M
- Matroid — Series B, $33M
- Cogniac — Series A, $20M
- Encord — Series B, $30M
- Scale AI — Series F, $600M
- Labelbox — Series D, $188M
- SuperAnnotate — Series A, $20M
- Appen — Public
- Sama — Series A, $60M
- Google Cloud Vision — Public
- Amazon Rekognition — Public
- Azure Computer Vision — Public
- Datature — Seed, $5M
Frequently Asked Questions
- What companies are in the CV Platforms & Data Infrastructure category?
- The CV Platforms & Data Infrastructure category includes 20 companies: Roboflow, Clarifai, LandingAI, Ultralytics, Viso.ai, Voxel51, Groundlight, alwaysAI, Matroid, Cogniac, Encord, Scale AI, Labelbox, SuperAnnotate, Appen, Sama, Google Cloud Vision, Amazon Rekognition, Azure Computer Vision, Datature. This is part of the Computer Vision market map maintained by Hartmann Capital.
- How many CV Platforms & Data Infrastructure startups are tracked?
- Hartmann Capital tracks 20 companies in the CV Platforms & Data Infrastructure segment of the Computer Vision market map.
- What are the best funded CV Platforms & Data Infrastructure companies?
- Top funded companies in CV Platforms & Data Infrastructure include Scale AI ($600M), Labelbox ($188M), LandingAI ($159M), Clarifai ($100M), Sama ($60M). Browse the full list in the Computer Vision market map.
- How can I submit my startup?
- You can submit your startup for inclusion by visiting the submission page. Submissions are reviewed by Hartmann Capital's research team.