How SGS Slashed Model Development Time by 66%
From fragmented tools to unified MLOps: SGS transformed their computer vision workflow and went from 3 days to 1 day per model iteration.
Get Similar ResultsSGS is the world's leading testing, inspection, and certification company. With over 99,000 employees in 2,600 offices and laboratories, they provide critical services across agriculture, mining, oil, gas, chemicals, and consumer goods. Their computer vision team develops AI solutions to automate visual inspection processes at scale.
SGS's computer vision team was building inspection models across multiple industries, but their workflow was fragmented across disconnected tools. This created significant bottlenecks in their development process.
The team was juggling multiple disconnected tools for data management, annotation, training, and deployment. Context switching between tools wasted valuable engineering time.
Without proper dataset versioning, it was impossible to track which data was used for which model. Reproducing experiments or rolling back was a manual nightmare.
With 4 engineers managing 10+ concurrent projects, there was no centralized way to share datasets, models, or experiment results. Knowledge was siloed.
Each model iteration took approximately 3 days from data preparation to evaluation. This slow feedback loop significantly delayed project delivery.
From challenges to solutions
- —3 days per model iteration
- —Disconnected tools for each step
- —No dataset version control
- —Manual experiment tracking
- —Knowledge siloed between team members
- —Reproducibility was a nightmare
- 1 day per model iteration
- Single platform for entire workflow
- Git-like versioning for all data
- Automatic experiment logging
- Shared workspaces and collaboration
- 100% reproducible experiments
“Picsellia unified our entire workflow. What used to take us 3 days now takes 1. We can finally focus on solving computer vision problems instead of wrestling with our toolchain.”
How SGS uses Picsellia
All images and annotations stored in one place with full version history
Built-in labeling with quality assurance workflows and team collaboration
Run experiments with automatic logging of metrics, parameters, and artifacts
Ship models to production with full lineage and performance monitoring
How Picsellia delivered
Picsellia provided SGS with a unified platform that consolidated their entire computer vision workflow under one roof.
Unified Data Management
Datalake →All datasets, annotations, and metadata centralized in one platform with full version control. Every change is tracked, making experiments reproducible.
Streamlined Annotation
Labeling Tool →Built-in labeling tools with quality assurance workflows. SGS's team can annotate, review, and validate data without leaving the platform.
Experiment Tracking
Experiment Tracking →Automatic logging of all training runs, hyperparameters, and metrics. Compare experiments side-by-side and never lose track of what worked.
Team Collaboration
Dataset Management →Shared workspaces where all team members can access datasets, models, and experiments. Knowledge is preserved and accessible to everyone.
Business impact
The switch to Picsellia transformed SGS's computer vision operations, delivering measurable improvements across their entire workflow.
Model development cycles dropped from 3 days to 1 day. Faster iterations mean faster time-to-value for SGS clients.
A 4-person team now effectively manages 10+ concurrent projects. Clear organization and shared workflows eliminate confusion.
Every model can be traced back to its exact training data, parameters, and evaluation metrics. Critical for SGS's quality certification standards.
All experiments, decisions, and learnings are captured in the platform. New team members can onboard quickly and pick up where others left off.
Ready to achieve similar results?
See how Picsellia can help your team build and deploy computer vision models faster.