The problem we were brought in for, what we built, and the metric that changed, from real client engagements.
A growth-equity firm
A growth-equity firm had a term sheet out on an 'AI-native' SaaS target. A two-week technical readiness assessment surfaced $1.4M of undisclosed re-platform cost and a vendor dependency that would triple at projected volume, and repriced the deal.
Read →A mid-market healthtech
A mid-market healthtech had a document-extraction model that dazzled in a notebook and hallucinated on real intake traffic. An eval harness and confidence gating took hallucinations from 12% to 3% and shipped it in 8 weeks.
Read →A Series B fintech
A Series B fintech was scaling LLM spend faster than revenue on a single provider. A model-agnostic routing layer cut unit cost, killed vendor concentration risk, and met a data-residency requirement its incumbent couldn't.
Read →A mid-market SaaS support platform
A mid-market SaaS support platform replaced a keyword search widget with a tenant-isolated retrieval pipeline, cutting escalations and first-response time without a headcount increase.
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