AI/ML Platform Enablement
Confidential Series B AI Startup
Context
A Series B AI startup where data scientists were unable to deploy models to production, with a 6-month gap between model development and deployment creating commercial risk.
Challenge
Build an MLOps platform reducing model deployment time from 6 months to weeks, with governance framework supporting enterprise customer requirements.
Approach
Designed MLOps platform with automated pipelines, model registry, feature store, and comprehensive governance framework meeting enterprise audit requirements.
Delivery
5-month engagement covering platform architecture, pipeline development, governance framework, and team enablement with comprehensive documentation.
Outcomes
Deployment: 6 months to 2 weeks
Automated pipelines eliminated manual deployment bottlenecks
12 models deployed in Q1
Rapid deployment capability immediately unlocked commercial value
Enterprise governance compliance
Framework enabled enterprise sales conversations
Stack
Timeline
5 months
What's Next
Platform supports growing model portfolio. Advanced monitoring and A/B testing capabilities being added.
Client identity is confidential. Detailed references and outcomes available under NDA.
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