
Platform.ai is a codeless AI model development platform focused on computer vision, enabling domain experts to build and deploy AI models without coding. It offers a unique point-and-click visual system that allows users to label data and train models iteratively, significantly reducing the need for data scientists and expensive resources. The platform supports scalable model development with a label-as-you-go strategy and provides enterprise-grade support including on-premise deployment. Its business model is subscription-based with tiered pricing plans for different project sizes. Platform.ai targets niche industries requiring expert data examination, accelerating AI adoption by simplifying data processing and model training workflows.

Platform.ai is a codeless AI model development platform focused on computer vision, enabling domain experts to build and deploy AI models without coding. It offers a unique point-and-click visual system that allows users to label data and train models iteratively, significantly reducing the need for data scientists and expensive resources. The platform supports scalable model development with a label-as-you-go strategy and provides enterprise-grade support including on-premise deployment. Its business model is subscription-based with tiered pricing plans for different project sizes. Platform.ai targets niche industries requiring expert data examination, accelerating AI adoption by simplifying data processing and model training workflows.
Product: Codeless human-in-the-loop computer vision platform (label-as-you-go)
Industry focus: Computer vision with specialized solutions for spinal implant detection/surveillance in medical imaging
Founders: Arshak Navruzyan (Co-founder & CEO), Jeremy Howard (Co-founder & Chief Scientist)
HQ: San Francisco, California, United States
Funding: $2,050,000 total (last known round: 2018-06-20)
Enabling domain experts to build and deploy computer-vision models for specialized industries (medical device imaging and surveillance) without heavy data-science or DevOps involvement.
Computer vision / Medical imaging
2050000.00