A builder's firm. One working method.
Tillinghast Technologies is a small, focused practice working at the intersection of emerging technology and operational reality. We build software, agentic systems, data pipelines, and hardware-aware tools — and we evaluate the technology landscape for organizations that need clear answers, not vendor pitches.
The firm is built around a single principle: a working system that saves real time and real money is the only argument that matters. Whether the work is a multi-agent research tool, a custom data platform, an embedded sensor pipeline, or a technical assessment for an investment thesis — the deliverable is the same. Something that works, measured against something that did not.
Three decades shipping software, the last fourteen inside the AI stack. The first chapter was the dotcom boom — web, interactive media, advertising, retail — and co-founding Pinweel, a photo-sharing app on the original iPhone, head-to-head with Instagram before the Facebook acquisition. Since 2013, every role has been AI, ML, and data: Microsoft Azure (Azure Machine Learning, Azure Data Catalog, Azure Data Factory, Azure Stream Analytics, and Power BI), then Microsoft Research (MSR) productizing novel ML — SwiftKey, computational photography, computer vision, and the enterprise software underneath them — then Meta, generative AI for Ads Manager. Career spans the full stack: UX design, product management, software engineering, ML, and applied AI systems. Not a pivot — a through-line.
What matters for the firm is the daily practice now. Multi-agent systems running in production, tested against real workflows with real users. When a new model or framework ships, he's in it the same week. That breadth — and the willingness to refuse to be just one thing — is what lets the practice see what's actually needed across software, hardware, data, and AI.