Selected Case Studies
Real engagements. Real outcomes. Delivered by dedicated expert teams.
Internal RAG Knowledge Assistant
Teams wasted 30-40% of time searching documentation and past tickets.
Production-grade RAG system over 180k+ documents with citations, permissions, and continuous improvement loop.
First response time down 41%. 2,800+ queries per week at 89% helpful rating.
Predictive Churn & Retention Engine
High customer churn in the mid-market segment with no early warning system.
End-to-end ML pipeline (feature store, model, monitoring) + in-app action recommendations for account managers.
Churn reduced 23% in pilot segment. $1.8M ARR saved in first 6 months.
Computer Vision Quality Assurance
Manual visual inspection on the manufacturing line caused bottlenecks and missed micro-defects.
Edge-deployed computer vision models analyzing high-speed camera feeds in real-time to flag anomalies.
Defect detection accuracy improved to 99.7%. Inspection speed increased by 300%.
Automated Contract Analysis NLP
Legal team spent thousands of hours manually reviewing vendor contracts for non-standard clauses.
Custom NLP application that highlights risky clauses, extracts key terms, and compares against standard templates.
Contract review time cut by 60%. Legal team capacity doubled without new hires.
Dynamic Pricing & Recommendation Engine
Static pricing model was leaving revenue on the table during peak demand periods.
Reinforcement learning model that adjusts pricing dynamically based on inventory, competitor pricing, and demand signals.
Gross margin increased by 14%. Conversion rate improved by 8% through better recommendations.
Autonomous Customer Support Agent
Support costs scaling linearly with user growth; 60% of tickets were repetitive L1 issues.
LLM-powered autonomous agent integrated with Zendesk to handle L1 queries, process refunds, and route complex issues.
Deflected 55% of L1 tickets. CSAT score improved by 12 points. Support cost per user dropped 40%.