Client Overview
Hazy is the world’s leading synthetic data company. Their mission is to re-engineer enterprise data so that it becomes faster, easier, and safer to use – empowering organizations to innovate without compromising security or compliance. With offices in London and clients worldwide, Hazy works with enterprise-level companies in finance, healthcare, and technology, where data privacy and speed are critical.
The client came to UaSoftDev at a stage where their legacy infrastructure and manual QA processes were slowing down development. Deployment cycles took longer than they wanted, and too much developer time was being spent on repetitive testing tasks. To maintain their industry leadership and scale efficiently, they needed both automation and modernization.
Project goals & challenges
Hazy approached UaSoftDev with two main objectives:
- Automate QA with AI – reduce manual effort in testing and improve accuracy by implementing an AI-powered system that could analyze code and catch issues before production.
- Modernize the infrastructure – Transition from a monolithic setup to a cloud-native, microservices-based architecture that would scale with the company’s growth.
The key challenges included:
- Building a custom AI solution instead of applying generic tools.
- Ensuring smooth migration to microservices without disrupting ongoing operations.
- Integrating the solution into the existing CI/CD pipeline and workflows.
- Maintaining strict delivery deadlines to avoid slowing down product development.
Our approach
UaSoftDev assigned a dedicated team of 2–5 engineers with expertise in AI/ML development, DevOps, and cloud engineering. We worked closely with Hazy’s internal engineers to make sure the solutions we built would integrate seamlessly into their workflows.
We followed an agile, iterative approach:
- Regular communication via virtual meetings, messaging, and shared project management tools.
- Continuous progress tracking and transparency for the client.
- Quick adaptation whenever the project scope evolved.
Our team prioritized not just delivering technology, but also ensuring knowledge transfer to Hazy’s developers so they could continue working effectively after deployment.
What was done
- Custom AI Model for QA
- Designed, developed, and trained a machine learning model to perform automated code analysis.
- Integrated the model into the client’s CI/CD pipeline, enabling real-time quality checks.
- Configured the system to flag potential bugs and inconsistencies before reaching production.
- Cloud Migration & Infrastructure Modernization
- Migrated a monolithic application into a microservices-based architecture using AWS and Kubernetes.
- Implemented infrastructure automation (IaC), ensuring scalable and repeatable deployments.
- Set up real-time monitoring and alerting systems to improve infrastructure reliability.
- Created detailed documentation for internal teams.
- CI/CD Enhancements
- Built new CI/CD pipelines optimized for faster delivery cycles.
- Integrated automated testing and deployment workflows.
- Ensured rollback and recovery processes for reliability.
- Knowledge Transfer & Training
- Delivered post-deployment training sessions for Hazy’s engineering team.
- Ensured their developers could operate, monitor, and improve the new systems independently.
Key results
- 60% reduction in manual QA effort – Developers spend less time on repetitive testing.
- Deployment cycles shortened by over 40%, accelerating time-to-market.
- Infrastructure reliability improved significantly, reducing downtime and errors.
- The AI model caught issues pre-production, preventing costly bugs from reaching customers.
- Engineering resources were freed up to focus on new feature development rather than routine maintenance.
- Cloud-native architecture ensured the system is now future-ready and scalable.
- All project deliverables were completed on time, despite evolving scope.
- Hazy described UaSoftDev as flexible, highly communicative, and deeply invested in their success.
Client feedback
“Their ability to deeply understand our development environment and build custom high-impact solutions stood out. They didn’t apply generic tools but instead created tailored systems that integrated seamlessly into our workflows. UaSoftDev delivered everything on time and the results exceeded expectations.”
— Will O’Brien, principal engineer at Hazy
Conclusion
This project was more than just a technical upgrade – it was a strategic step forward for Hazy. By combining AI-driven QA automation with cloud-native infrastructure, UaSoftDev helped the client achieve faster deployments, reduce human error, and prepare for future scalability.
Our close collaboration ensured that solutions were not only delivered but also fully adopted by the client’s internal teams. Hazy can now move forward with stronger, more reliable systems, confident that their development pipeline is optimized for both speed and quality-