Everything you need to build
and scale Vision AI apps
Picsellia is the end-to-end MLOps platform for computer vision. Manage data, annotate, train, deploy, and monitor — all in one place.
One platform,
every step covered.
Explore PlatformCentralize all your visual data
Visual data is scattered across teams, buckets, and hard drives with no structure or discoverability.
Connect your cloud storage, ingest images and videos, and explore your data with visual similarity search and smart tagging.
Enterprise-grade
from day one.
Security, compliance, and scalability built into every layer. Trusted by teams who need production-ready AI infrastructure.
ISO 27001 Certified
Audited and certified information security management system. Your data is protected by industry-standard controls.
Cloud, On-Prem, or Hybrid
Deploy Picsellia wherever your data lives. Fully managed SaaS, on-premise installation, or hybrid configurations.
Role-Based Access Control
Granular permissions for every resource. Control who can see, edit, and deploy across projects and teams.
99.9% Uptime SLA
Enterprise SLA with guaranteed availability. Redundant infrastructure and automated failover across regions.
Full API & SDK Access
Everything you can do in the UI, you can do via API. Python SDK with type hints, auto-completion, and comprehensive documentation.
Scale Without Limits
From proof-of-concept to millions of predictions per day. Auto-scaling infrastructure that grows with your needs.
Works with your
existing stack.
Training Frameworks
Cloud & Infrastructure
Data & MLOps Ecosystem
Python SDK — Built for developers
Full programmatic access to every Picsellia feature. Type-safe, async-ready, and designed for production ML workflows.
from picsellia import Client
# Connect to your workspace
client = Client()
project = client.get_project("defect-detection")
# Create experiment and train
exp = project.create_experiment("yolov8-run")
exp.attach_dataset("train", dataset_version)What is Picsellia?
Picsellia is an end-to-end MLOps platform built specifically for computer vision teams. Instead of stitching together separate tools for data management, annotation, model training, deployment, and production monitoring, Picsellia keeps every stage of the pipeline in one system with shared lineage from raw image to production prediction. Teams use it to manage and version large image and video datasets, annotate with AI-assisted labeling tools, train and track experiments on any GPU, deploy models to the cloud, edge, or on-premise infrastructure, and monitor performance in production with built-in drift detection. Picsellia is ISO 27001 certified and supports on-premise or hybrid deployment for teams with strict data residency or compliance requirements. It's used across manufacturing, agriculture, energy, waste management, aerospace, and defense, wherever a team needs to turn image or video data into a production computer vision system without assembling five different tools to get there.
What does Picsellia do?
Picsellia covers the full computer vision pipeline — data management, annotation, training, deployment, and production monitoring — in one platform with shared data lineage, instead of requiring separate tools for each stage.
Who is Picsellia for?
Teams building production computer vision systems, from startups running their first pilot to enterprise teams with on-premise or compliance requirements across manufacturing, agriculture, energy, aerospace, and defense.
How is Picsellia different from a point solution like Roboflow or Labelbox?
Tools like Roboflow and Labelbox focus primarily on data preparation and annotation. Picsellia covers the same stages plus training, deployment, and production monitoring natively, so teams don't need to integrate separate tools once they move past prototyping.
Start building
Vision AI today.
Join hundreds of teams using Picsellia to build, deploy, and monitor computer vision applications at scale.