Set up automatic triggers and alerts based on events to stay informed and proactive. Receive notifications when something is off, and automatically initiate training with just a few clicks. Ensure your models remain accurate and reliable with timely interventions.
Experience the convenience of deploying your computer vision models in a serverless environment. Benefit from a scalable inference engine that grows with your needs, eliminating the hassle of managing servers or waiting for training.
Leverage a robust infrastructure and fast inference engine without the burden of upfront investments. Our pay-as-you-use model ensures you only pay for the resources you consume, making it cost-effective and efficient to deploy your models.
Get started with production-ready computer vision solutions that scale with your usage. Forget about maintaining servers or managing infrastructure. Our advanced deployment platform adapts to your requirements, ensuring smooth and reliable performance.
Detect the warning signs of model degradation with ease. Benefit from a complete AI data-drift detection toolbox that helps you stay ahead of potential issues. Doing deep learning without monitoring is like driving a car without checking the fuel gauge - essential for maintaining performance and preventing unexpected failures.
Compute the outlier score of new input images in real time to smartly add relevant data to your training set. Converge towards a high-quality dataset, improving model accuracy and reliability. By capturing real-time data, you can continuously enhance your training set size and quality.
Utilize advanced visualizations to understand your model's performance better. Compare everything from accuracy to CPU usage, track key metrics over time, and identify trends and patterns that drive better decision-making.
Enable collaboration across different teams. Share experiment results, leave comments, and collaborate in real-time to accelerate the development and deployment of your AI models.
Streamline hyperparameter tuning to enhance your model's performance. Configure scans with a simple dictionary, run searches in the cloud, and extract the best-performing models to rapidly optimize your AI projects.
Integrate popular machine learning frameworks and tools like TensorFlow, PyTorch, and more. Seamlessly track experiments across different environments and platforms, centralizing your AI development process.
Integrate experiment tracking with a single line of code. By incorporating the Picsellia SDK, engineers can log and analyze all desired metrics directly from their IDE, enhancing productivity and streamlining the development process without leaving their environment.
If you are a company wishing to organize its AI workload and facilitate collaboration in a simple and modular way, an end-to-end solution ranging from data storage to model deployment like Picsellia is just right!
