AI/ML Use Case Building
From zero to production-ready ML platform
Industry
Cyber Security
Timeline
9 months
Team Size
5 professionals
Overview
A technology startup needed to build their entire AI/ML capability from scratch to launch data-driven products and services.
Key Challenges
Zero in-house machine learning expertise
Need to quickly build and deploy ML models
Requirement for scalable MLOps infrastructure
Tight timeline to launch AI-powered features
Our Approach
- 1
Recruited senior ML engineers with Databricks expertise
- 2
Found specialized data scientists with domain knowledge
- 3
Hired MLOps engineers to build deployment pipelines
- 4
Established comprehensive ML model governance
- 5
Created automated training and deployment workflows
Key Outcomes
Built complete ML platform on Databricks
Launched 5 AI-powered products within 9 months
Saved $2 million in risk mitigation costs
Established automated MLOps pipeline
Achieved 99% model accuracy in production
"The AI/ML solutions delivered by StarX Technologies were exceptional. Their team not only brought deep technical expertise, but also understood our specific business challenges—helping us build intelligent products that created measurable impact on our bottom line"
Key Results
- 5 AI-powered products launched
- $2 million cost savings in risk mitigation
- 99% accuracy in risk detection
- Complete MLOps pipeline established
Technologies
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