endorsedCompleted

System Modernization & AI/API Development for Hazy

Services Covered:

API Development

Industry

Artificial Intelligence and Machine Learning

Duration

13 months

Budget

50K - 199K

Start Date

1 April 2024

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

74/100

Good

Project Capability Score (PCS) estimates how capable Chudovo is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Hazy

United States of America

Project Summary

Chudovo modernized Hazy’s legacy systems by integrating advanced AI features, developing RESTful APIs, and migrating microservices to a cloud-based architecture. Their work included AI models for synthetic data validation and an AI-powered anomaly detection module. Post-project, the platform showed improved system performance, faster API response times, and more reliable deployments. Project management and communication were structured via Jira and Slack, and Chudovo provided extensive documentation.

Key Challenges

Enhance the synthetic data generation platform with advanced AI algorithms
Upgrade and modernize outdated backend/legacy systems
Make the product compatible with enterprise-level clients following acquisition by SAS
Transition to a flexible, API-driven infrastructure

Project Deliverables

AI models for synthetic data validation
RESTful APIs for SAS integration
Migrated microservices to cloud-based architecture
Automated deployment pipelines
AI-powered anomaly detection module
Security and compliance enhancements
Technical documentation

Project Solution

Chudovo performed a full modernization of Hazy’s legacy systems, integrating advanced AI features to improve data quality and reduce manual oversight. They developed AI models for synthetic data validation, built RESTful APIs to smooth integration with SAS platforms, and migrated microservices to a cloud-based architecture with automated deployment pipelines. They also implemented an AI-powered anomaly detection module and strengthened data security and compliance features.

Project Outcome

System performance improved significantly and API response times were faster
New AI models reduced manual oversight and freed data scientists to focus on innovation
Integration with SAS analytics tools became smoother, aiding product evolution
Platform architecture made deployments more reliable and simplified enterprise client onboarding
Project management remained structured and deadlines were consistently met

Platforms

Cloud
API/Integration Platform

Tech Stack

RESTful API

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Chudovo's work improved system performance, response times, and reliability. The team had a structured and transparent project management approach, consistently met deadlines, and adapted to changes. Chudovo's communication via Slack and Jira was seamless, and they provided extensive documentation.”
Will O'Brien
Principal Engineer
Date: 11/03/2025