Idelic: AI-enabled safety intelligence for large-scale fleet operations
AgileEngine introduced critical data and architecture solutions to a leading fleet safety platform trusted by Dot Foods and Dollar General. The platform enables commercial trucking enterprises to unify data from dozens of sources, predict accidents with 90% accuracy, and mitigate operational risk. The fleets leveraging this technology have successfully reduced accidents by an average of 20% within 12 months.
Industries
Transportation, Logistics, Fleet Management, SaaS
Services
Full-stack development, QA automation, Data engineering, Backend development, QA and software testing, DevOps, AI, Architecture, Feature development, Modernization
Solutions
Enterprise application, API, Data pipeline, Data aggregation, Web application, Test automation, Integration, System optimization, Cloud, CI/CD, Predictive analytics, AI integration, Machine learning models, Business intelligence
Technologies
Python, Scala, Slick, PostgreSQL, AWS, TeamCity, Docker, JavaScript, TypeScript, React.js, Redux, Immutable.js, Play Framework, Go, Auth0, Amazon Bedrock
Outcomes
and highlights
- High-profile clients like Schneider won thanks to the product improvements made possible through our work
- Amazon Relational Database Service (RDS) costs reduced thanks to the optimizations introduced by our team
Solutions overview
Enterprise-grade platform development and AI/ML solutions
The company initially engaged AgileEngine as a nearshore solution to address immediate development capacity challenges. What began as a stopgap measure evolved into a strategic long-term partnership as our team consistently delivered high-quality results. We’ve been instrumental in transforming the client’s platform from an early-stage product into a robust, enterprise-ready solution that processes insights from over 40 billion miles worth of driving data. Our teams maximized the precision of the client’s predictive analytics while boosting API connectivity, flexibility, and overall user experience.
Key deliverables
- Machine learning models integration enabling advanced data analysis and predictive insights that accurately forecast accidents
- Multiple data aggregation and analytics frameworks built from the ground up
- Enhanced API architecture improving connectivity, flexibility, and mobile responsiveness across the platform
- Compliance-driven data processing implemented to ensure security and integrity
- Continuous integration and delivery pipelines enabling rapid, reliable deployment cycles
- Document library for training materials and user data
- New functionality development, such as notifications, ratings, and data quality monitoring
- Platform-level optimizations, including cloud database cost reduction and centralized SSO authentication
Technologies
Python, Scala, Slick, PostgreSQL, AWS, TeamCity, Docker, JavaScript, TypeScript, React.js, Redux, Immutable.js, Play Framework, Go, Auth0, Amazon Bedrock
Quality Studio
To support the platform’s mission-critical role in fleet safety, our QA team introduced solutions that ensure reliability for every product increment. We created and maintained test cases and automated scenarios, streamlined defect reporting, and configured CI/CD pipelines, improving release consistency and engineering throughput.
Key deliverables
- Comprehensive test automation suite covering integration and UI scenarios
- Multi-layered testing approach, including functional, regression, exploratory, and smoke testing
- Test planning and documentation with detailed test cases and checklists
- CI/CD pipeline configuration ensuring automated quality gates throughout the development lifecycle
- Defect tracking and reporting systems enabling rapid issue resolution
Technologies
Scala, Java, JavaScript, React.js, PostgreSQL
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AgileEngine is the AI-empowered digital consultancy for high-growth startups and Fortune 500s. Our teams blend top-1% tech talent with AI-accelerated workflows to deliver modernization, automation, and transformation at scale.