Prexable
Prexable is a private, explainable video processing platform that lets non-experts train, deploy, and debug custom computer vision models through a drag-and-drop interface. The platform supports detection, tracking, and recognition without requiring video uploads to external servers, and incorporates explainable AI modules for transparency. It also offers visual prompting and temporal video AI for understanding actions and events beyond simple object tracking.
- Artificial Intelligence
- Software Only
- AI Agents
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional video processing systems operate as black boxes, making it difficult for non-experts to understand how AI models make decisions or debug their performance. Additionally, confidential videos often require upload to external servers, creating privacy risks and limiting adoption in sensitive industries such as healthcare, manufacturing, and security.
Solution
Prexable provides an online drag-and-drop video processing solution that allows businesses and individuals without AI expertise to train, comprehend, and debug their own personalized models in a privacy-preserving way. The platform incorporates explainable AI modules that clarify how decisions are made, along with review tools for validating outcomes, boosting trust and transparency. Prexable is currently in use for object detection, tracking, authentication, and recognition, with video annotation tools ready and explainable AI features under active development. The platform supports visual prompting, enabling users to interact with models using points, bounding boxes, or natural language descriptions for flexible task adaptation. Temporal video AI features analyze sequences to understand actions, events, and interactions beyond simple object tracking, providing deeper insights into video content.
Target Audience
Primary customers are businesses and individuals without specialized AI expertise who need to process video for detection, tracking, or recognition tasks, including organizations in security, manufacturing, healthcare, and agriculture seeking privacy-preserving and explainable computer vision solutions.
Features
- Drag-and-drop interface enabling non-experts to train, deploy, and debug custom video processing models without coding skills
- Explainable AI (XAI) modules that provide transparency into model decision-making processes, helping users understand and trust outcomes
- Visual prompting capabilities allowing interaction with models using points, bounding boxes, or natural language descriptions for flexible task adaptation
- Temporal video AI features that analyze sequences to understand actions, events, and interactions beyond simple object tracking
- Video annotation tools supporting human-in-the-loop workflows for labeling, tagging, and managing visual data
- Integration of HOTA (Higher Order Tracking Accuracy) metrics for balanced evaluation of detection, association, and localization accuracy in tracking systems
- Cloud-based public and semi-private processing modes for scalable and cost-effective deployment