Your vision AI agent to build VisionAI applications
Picsellia is the all-in-one platform to manage, deploy, and monitor computer vision models at scale. From dataset versioning to experiment tracking and real-time inference monitoring, it’s built for ML teams working with visual data. Streamline your CV workflow and stay in control.
Platform auto-scales infrastructure without limits, supports 50M+ images processed, and offers volume-based pricing discounts that decrease per-unit costs as usage grows. GPU compute is pay-per-use with no commitment, enabling cost-efficient scaling from proof-of-concept to enterprise production.
Picsellia offers 50+ integrations with PyTorch, TensorFlow, AWS S3, Google Cloud, Azure, Databricks, and Snowflake. Full Python SDK with type hints and async support enables programmatic access to all features, allowing seamless integration into existing ML stacks and CI/CD pipelines.
Reliability Engine module provides real-time monitoring, anomaly detection, drift detection, feedback loops, and shadow deployments. Teams track model performance continuously and trigger automated retraining when performance degrades, maintaining production reliability.
Platform enables automated defect detection and assembly verification use cases with 99.2% detection accuracy and 95% error reduction. Teams deploy real-time computer vision models on production lines to replace manual inspection, reducing costs and improving consistency at scale.
Picsellia provides an end-to-end MLOps platform that consolidates image/video management, annotation, training, deployment, and monitoring in one workspace. Teams eliminate scattered tools and spreadsheets by managing the entire CV lifecycle with unified data lineage, experiment tracking, and reproducible pipelines.