PLATFORM_STATUS: OPERATIONAL

Everything you need to
build Vision AI apps

The MLOps platform built for computer vision. Manage data, annotate at scale, train models, and deploy them — all in one place.

2.4B+
Images indexed
48,000+
Models trained
12B+
Predictions monitored
150+
Vision AI teams
fig.01 — Platform Overview1920 × 1080
Deployed at
SGS
RTE
Pellenc
Skillcorner
Fortil
Isarsoft
Upstride
Abelio
Altaroad
Ficha
Roc4t
SupAirVision
Platform

One platform.
Zero friction.

Explore platform

Stop drowning in unorganized data

Problem

Images scattered across cloud buckets, hard drives, and legacy systems.

Solution

One source of truth for all your visual data. Connect any storage, auto-organize with AI, and find exactly what you need in seconds.

10B+
images managed
fig.02Data
Use Cases

What people build
with it

All use cases
#
Industry
Application
Metric
Value
fig.06Manufacturing
Defect Detection
99.5%
Detection accuracy
Manufacturing

Defect Detection

Spot surface defects and assembly errors on the production line. Cameras check every part, every time.

Read case study
Enterprise

Built for teams that
can't afford to fail

Security, compliance, and reliability that enterprise teams demand.

Talk to Sales
CERTIFIED

ISO 27001:2022

Certified information security management

INFRA

Deploy Anywhere

Cloud, on-premise, or hybrid — your infrastructure, your rules

AUTH

Role-Based Access

SSO/SAML with fine-grained permissions per project

SLA

99.9% Uptime SLA

Enterprise SLAs backed by 24/7 engineering support

API

API-First

Full REST API and Python SDK — automate everything

SCALE

Infinite Scale

Handle billions of images without breaking a sweat

Integrations

Works with
your stack

50+Integrations
APIFirst

Train with

ML_FRAMEWORKS
PyTorch
PyTorch
TensorFlow
TensorFlow
Keras
Keras
Ultralytics
Ultralytics
Hugging Face
Hugging Face

Deploy to

INFRASTRUCTURE
Amazon S3
Amazon S3
Google Cloud
Google Cloud
Azure
Azure
NVIDIA Jetson
NVIDIA Jetson
SageMaker
SageMaker

Connect from

ECOSYSTEM
Snowflake
Snowflake
Databricks
Databricks
MLflow
MLflow
Weights & Biases
Weights & Biases
Jupyter
Jupyter
SDKpip install picsellia

Python SDK

Programmatic access to everything. Type-safe, async-ready, designed for ML workflows.

Type safetyFull IDE support
AsyncHigh throughput
JupyterNative support
quickstart.py
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)
model98.5%
dataset95.2%
pipeline97.8%
deploy99.1%
System ready

Start detecting
in minutes

Go from raw images to a model running in production. Free trial, no credit card.

No credit card14-day trialISO 27001:2022
<100ms
Latency
99.9%
Uptime
50+
Integrations
24/7
Support