Case Studies
What we've shipped.
Every account here is anonymized and NDA-cleared. We describe the problem, the architecture, and the trade-offs — never the client, and never a metric we can't stand behind.
Enterprise IT services — ITSM operations
AI-Powered Change Risk Engine That Predicts Incidents Before They Happen
Turned ~100K raw change and incident records into a production system that grounds every risk verdict in real historical failures — semantic retrieval, deterministic risk math, and an LLM agent layer working together instead of a black-box score.
~50× faster Similar-incident retrieval latency vs. manual search
Enterprise IT — IT service management
An enterprise AI risk-assessment platform on a migrated data layer
Enterprise-grade data architecture plus an AI risk-scoring layer — proof we operate at scale and handle real data engineering, not just model calls.
10× Concurrent write throughput after migration