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

Solutions overview

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

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

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AgileEngine wins three major industry awards in 2025

Idelic: AI-enabled safety intelligence for large-scale fleet operations

Industries

Services

Solutions

Technologies

Outcomes and highlights

Solutions overview

Quality Studio

Key deliverables

Technologies

See more success stories

AI-driven RegTech monitoring Nasdaq and the NYSE trading

10x faster app modernization, powered by AI

AI-powered customer communications platform leveraged by Uber and Motorola

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.

Outcomes
and highlights