Model-Agnostic by Design
Models change under you every few months: price, quality, and capability. Here's why we never hardcode a single provider into a client's feature.
Read → Topics
Strategy & Architecture
Build, buy, or skip; lock into one model provider or stay agnostic — these architectural calls compound over the life of a system. This is our work on making them deliberately instead of by default.
Insights
Build, Buy, or Skip: A Framework for AI Decisions
A technically honest framework for deciding whether an AI initiative should be built in-house, bought off the shelf, or skipped entirely this year.
Read →Case studies
The AI-Native Target That Wasn't: A Two-Week Diligence
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 →Cutting Inference Spend 40% Without Betting on One Vendor
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.
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