Build, use, and scale your VisionAI applications.
The only platform you need for Visual Data management to image and video labeling, deployment, and monitoring, scaling up your Computer Vision applications.
Manage all your work in a centralized place for all your collaborators and shorten the time to market of your vision solutions by 50%.
Picsellia is and end-to-end platform that covers the whole data + model lifecycle for computer vision projects.
Picsellia also easily orchestrate your AWS infastructure from S3 storage, compute (EC2, Sagemaker) or even already in place annotation tools (CVAT, LabelImg...).
We have all the tools needed for:
- Data Visualisation
- Dataset versioning
- Image & Video labeling
- Experiment tracking
- Model registry
- Model Deployment
- Monitoring
The platform is collaborative and help monitor and track every asset that is created during model creation (data, model files, logs...). This way Picsellia also acts as a knowledge base for every user that needs to work on the Computer Vision assets of the company.
As we have all the tools in a single place, we can easily link the different part of the MLOps pipeline together so that it becomes really easy to bring back production data to your training environment for example, or even know exactly what dataset has been used to train what model.
Highlights
Picsellia Datalake integrates your data across multiple platforms like AWS, or local on-premise storage making it easier to manage, access, and visualize. It supports all visual data formats and enhances security and collaboration. This system is specifically designed for large scale visual Data and increase the efficiency of your computer vision projects.
Picsellia's Labeling Tool streamlines the annotation process of both images, and videos for AI professionals, leveraging custom-model-assisted labeling and team collaboration. This tool allows for precise annotations across complex datasets, ensuring quality and speed in data management. Perfect for large-scale projects, it promotes a collaborative annotation environment with role-based access and real-time updates
Picsellia's Model Monitoring and MLOps Pipelines provide a comprehensive solution for computer vision applications observability. Ensure your VisionAI models perform consistently by setting up automatic triggers and alerts for any anomalies. This feedback loop system allows for quick responses.
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This contract combines three separate components you purchase together. The Picsellia Standard License gives you access to the platform. DPU Tier 0 covers 100 Data Processing Units, which handle data ingestion and processing. MPU Tier covers 100 Model Processing Units for model-related work. The license is your base access, while the two unit tiers are usage-based allotments measured in fixed blocks of 100 units each. You add the unit tiers on top of the license to match your data and model processing needs.
Top-of-mind questions for buyers
What counts as one Data Processing Unit (DPU) for billing?
A DPU measures data ingestion and processing volume. Images convert into DPUs at a fixed rate. DPU Tier 0 gives you a block of 100 units to cover your data handling. The unit is a processing measure, not a per-image or per-seat count.
What does a Model Processing Unit (MPU) measure?
An MPU tracks model-related work, such as production inference monitoring. Monitored predictions convert into units at a fixed rate. The MPU Tier gives you a block of 100 units. This unit is separate from data processing and applies to model activity.
Which component drives most of my cost as usage grows?
The Standard License is a fixed base fee for platform access. DPU and MPU tiers scale with your activity. Data-heavy projects consume DPUs faster, while production monitoring consumes MPUs. All three charges appear together. Your dominant cost depends on whether you process more data or run more model inference.
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Most complete and easy to use MLOps platform for Computer Vision
Reviewed on Sep 13, 2023
Review provided by G2
What do you like best about the product?
Really easy to get started with my first CV project and to collaborate with my team and client.
The support is amazing too!
What do you dislike about the product?
Lot's of features for me (much more than I need even if it's easy to use). I haven't yet use the SDK for instance.
What problems is the product solving and how is that benefiting you?
We had to launch quickly a POC. It was complex to use multiple open source tool and to work together as a team. It was more productive to use Picsellia (1 tool for the project).
Computer Software
Complete package for UI needs
Reviewed on May 14, 2023
Review provided by G2
What do you like best about the product?
One can build ML models and custom applications in an easy and quick way with this software.
What do you dislike about the product?
Not much awareness in users for the features and capabilities provided
What problems is the product solving and how is that benefiting you?
Solving data model and analytics operations with SecOps and data management