
How Altaroad Saved 50% Time Operating Models in Production
From maintenance burden to innovation focus: Altaroad reduced data scientist time on model maintenance from 50% to just 10%.
Get Similar ResultsAltaroad is a waste and material monitoring leader providing automated traceability solutions for construction and industrial sites. They use Computer Vision to track material and waste flows via heavy goods vehicles, ensuring compliance and optimizing logistics.
Altaroad needed to develop and deploy multiple computer vision models while managing continuous improvements under time constraints for major contracts.
Needed to develop and deploy classification, object detection, and segmentation models simultaneously for different use cases.
Time constraints for a major contract opportunity required dramatically accelerated model development.
Data scientists spent 50% of their time maintaining existing models instead of building new capabilities.
Complexity in adapting existing software infrastructure to CV operations created friction.
From challenges to solutions
- —50% of data scientist time on maintenance
- —Complex model management across sites
- —Slow adaptation to new CV operations
- —Difficult team onboarding
- —Limited product expansion capability
- Only 10% time on maintenance
- Efficient and structured monitoring
- Rapid model development cycles
- Quick team member onboarding
- Diversified product offerings
“Picsellia allows us to monitor all our models in production in an efficient and structured way, while constantly improving their performances to deliver the most reliable and efficient models to our clients.”
How Altaroad uses Picsellia
Aggregate images from construction and industrial sites into organized datasets
Develop classification, detection, and segmentation models in parallel
How Picsellia delivered
Picsellia provided Altaroad with an end-to-end platform that streamlined their entire CV operations from development to production.
End-to-End Platform
AI Laboratory →Complete Computer Vision platform for streamlined operations. From data collection to production monitoring in one place.
Efficient Model Management
Model Monitoring →Deployment and management capabilities that reduced maintenance time from 50% to 10% of data scientist effort.
MLOps Workflow Automation
Automated Pipelines →Automated pipelines for continuous training and deployment. Models improve automatically as new data arrives.
Collaborative Workspace
Dataset Management →Unified environment where business and technical teams can work together effectively.
Business impact
Altaroad transformed their operations and secured market leadership through efficient CV model management.
Data scientist time on maintenance reduced from 50% to 10%, freeing up resources for innovation.
Accelerated development cycles enabled Altaroad to meet critical contract deadlines.
New team members can quickly get up to speed with the unified platform.
Increased product offerings through faster model development capabilities.
Ready to achieve similar results?
See how Picsellia can help your team build and deploy computer vision models faster.
