Roboflow.com
Computer vision platform for building, training, and deploying AI models at scale.
About
Roboflow is a comprehensive computer vision platform enabling developers and enterprises to build, train, and deploy vision AI models. The platform provides automated data annotation with AI features, model training with evaluation tools, cloud-hosted and edge deployment capabilities, and operational monitoring. Over 16,000 organizations use Roboflow across industries including logistics, manufacturing, and agriculture.
Core use cases
- Train and deploy computer vision models
- Automated data annotation and labeling
- Real-world AI model deployment and monitoring
- AI type
- AI-native
- Primary product type
- AI Infrastructure Platform
- Secondary product type
- AI Observability Tool
Product
Sign up free to see product details, features and pricing.
Create free accountCommercial
Sign up free to see pricing model, tiers and contract terms.
Create free accountMarket
Upgrade to Intelligence to see market positioning, target buyers and geographic focus.
Upgrade to IntelligenceTraction
Upgrade to Intelligence to see awards, analyst coverage and ratings.
Upgrade to IntelligenceFunding & Team
Upgrade to Intelligence to see funding history, team size and key executives.
Upgrade to IntelligenceTrust & Compliance
Upgrade to Intelligence to see security certifications, compliance and SLA details.
Upgrade to IntelligenceMarket Context
Upgrade to Intelligence to see competitors, market maturity and press coverage.
Upgrade to IntelligenceSimilar companies
Groq.com
Fast, low-cost LLM inference via custom-built LPU silicon and GroqCloud API.
Lambda.com
Cloud GPU infrastructure and on-demand clusters for AI training and inference at scale.
Runpod.io
GPU cloud infrastructure for AI model training, inference, and batch workloads with serverless scaling and global deployment.
Replicate.com
API platform to run, fine-tune, and deploy machine learning models at scale with automatic compute management.
Fireworks.ai
Fast inference platform for deploying, fine-tuning, and scaling open-source LLMs and image models at enterprise grade.