Everything you need to develop Vision AI
The MLOps platform for computer vision. Manage your data, train models, deploy them, and keep them running.
Used by teams at
Built for teams that can't afford to fail
Security, compliance, and reliability that enterprise teams demand.
ISO 27001:2022
Certified information security management
Deploy Anywhere
Cloud, on-premise, or hybrid deployment
Role-Based Access
SSO/SAML with fine-grained permissions
99.9% Uptime SLA
Enterprise SLAs with 24/7 support
API-First
Full REST API and Python SDK
Infinite Scale
Handle millions of images without breaking
One platform. Zero friction.
One platform instead of five tools duct-taped together. Built for computer vision from day one.
Stop drowning in unorganized data
Your images are scattered across cloud buckets, hard drives, and legacy systems. Finding the right data for training takes days, not minutes.
With Picsellia: One source of truth for all your visual data. Connect any storage, auto-organize with AI, and find exactly what you need in seconds.
Labeling shouldn't be your bottleneck
AI-assisted labeling cuts annotation time by 10x. Built-in quality control ensures consistent, high-quality training data.
Experiments shouldn't disappear
Every experiment tracked, every model versioned, every result reproducible. Compare runs side-by-side.
Production shouldn't be a black box
Deploy with confidence. Real-time monitoring catches drift before it impacts users.
What people build with it
Manufacturing, agriculture, energy, logistics. Different industries, same workflow.
Defect Detection
Spot surface defects and assembly errors on the production line. Cameras check every part, every time.
AgricultureCrop Monitoring
Fly a drone over your fields, feed the images to a model, and know which plots need attention before it is visible to the eye.
EnergyInfrastructure Inspection
Inspect pipelines, power lines, and solar panels from drone footage instead of sending people out.
ManufacturingAssembly Verification
Check that every component is in the right place, in real time, on the line.
SustainabilityWaste Sorting
Tell plastic from cardboard on a conveyor belt. Sorting facilities use this to automate what used to be manual.
Works with your stack
Plug into the tools you already use. Nothing proprietary, no lock-in.
Cloud Providers
Deploy anywhere
ML Frameworks
Train with any framework
Infrastructure
Run anywhere
Ecosystem
Extend your workflow
Python SDK
pip install picsellia
from picsellia import Client
# Connect to your workspace
client = Client()
project = client.get_project("defect-detection")
# Create experiment and attach data
exp = project.create_experiment("yolov8-run")
exp.attach_dataset("train", dataset_version)Start detecting in minutes
Go from raw images to a model running in production. Free trial, no credit card, cancel anytime.