Insights on Building Better Software

A traditional FDA clearance freezes your AI device in place — every retrain or improvement risks a new submission. A Predetermined Change Control Plan is how you get cleared to keep updating. This guide covers what a PCCP is, its three required components, and what it demands of your engineering.

The price on the invoice is the smallest part of what an MVP costs you. This guide breaks down the true cost of building with an in-house team, an agency, or an AI-accelerated team in 2026 — including the time-to-market and rework costs nobody quotes upfront.

HIPAA makes you legal. FDA clearance makes you sellable to clinicians. Neither gets you into a hospital. This guide covers the integration standards, vendor marketplaces, and procurement realities that decide whether a healthcare AI product ships into real clinical environments — or sits on a shelf with a great demo.

AI API costs are predictable — once you know the levers. This guide covers every layer of the cost stack: prompt design, model tiering, caching, batching, RAG vs fine-tuning economics, and the monitoring infrastructure that keeps costs from compounding invisibly.

Our client Dayhoff Health, working with AMD, benchmarked an AMD Radeon AI PRO R9700 against a Ryzen 7950X on production genomics pipelines. Here is what a 330x speedup on microbiome analysis actually means for healthcare companies running sequencing at scale.

As businesses move toward fully cashless operations, ACH payments offer a low-cost, reliable backbone for transactions. This guide covers what ACH is, how it fits into a cashless strategy, compliance requirements, and how to evaluate whether ACH is right for your business.

The US, Canada, and the UK each take a fundamentally different approach to data privacy — and building software that operates across all three without a clear-eyed understanding of each framework is how companies end up with compliance gaps they didn't know existed.

AI contract review tools have matured well beyond keyword search. This guide covers what modern contract AI can and cannot do, how to evaluate platforms for legal and union use cases, and what it takes to build a purpose-built solution for high-stakes document review.

Legal organizations and professional unions have requirements that generic software simply cannot meet — confidentiality by design, evidentiary integrity, and process compliance baked in from the start. Here's what purpose-built legal and union technology actually looks like.