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)Start building
Vision AI today.
Join hundreds of teams using Picsellia to build, deploy, and monitor computer vision applications at scale.