A workshop to align on your user, problem and goals — including the clinical or patient workflow the product has to fit into. You leave with a validated brief, defined scope and user flow.
Design, Build, and Review
Style foundations, then implementation. Mid-sprint we run a UX/UI review to catch issues while they are still cheap.
Harden, Demo, and Handoff
Tests, instrumentation and a quality gate before the last push. You leave with a working product and the means to know when it stops working — plus a live demo and a complete handoff package.
Healthcare AI Product Studio
Build and launch your healthtech product in the AI era. Discovery and clinical strategy through engineering and post-launch iteration.
From vision to validated roadmap. We align technical possibilities with clinical reality and business goals before anyone writes code.
Build and Launch
Compliance controls declared as JSON with regulatory citations, evaluated by a pipeline on every pull request. Client-side field-level encryption and role-based access down to the patient.
Product Evolution & Optimization
We iterate on real-world clinical and usage data, cut technical debt and keep audit trails and access controls intact as the product changes.
ML & Data Engineering for Healthtech
Medical model evaluation, clinical data pipelines and inference where the data is.
From your clinical and operational problems to custom models deployed on your platform, with training pipelines, a model registry and production monitoring.
Medical Model Evaluation
Medical LLMs under 8B parameters benchmarked against MedQA, PubMedQA and MMLU before they go near a clinical workflow.
On-Device and Edge AI
Imaging results produced by on-device ML over the raw sensor stream rather than round-tripped to a server. Running neural networks on iOS since we published Bender.
Pods for Healthtech Enterprises
A senior pod embedded inside your team and stack, operating inside your compliance perimeter.