Our focus

Why healthcare and education

In healthcare and education, the cost of getting it wrong is measured in people — misallocated resources, missed diagnoses, students who fall through the cracks. These domains do not have room for AI that looks good in a demo but fails under real conditions.

We chose these fields because they reward evidence over intuition, rigor over speed, and systems over shortcuts. The work is harder, but the impact compounds in ways that matter.

How we work

Principles, not slogans

01

Clarity over hype

We write down definitions, assumptions, and tradeoffs before writing code. If we cannot explain it plainly, we do not ship it.
02

Security by design

Least-privilege access, strong data handling, and audit-friendly workflows. Not bolted on after the fact.
03

Measurable outcomes

Every engagement has benchmarks and metrics tied to real decisions. We prove the work, not just deliver it.
04

Maintainable systems

Clean handoffs, documentation, and straightforward operations. The system should outlast the engagement.

Affiliation

Stanford University

Research foundation and campus collaboration

Focus areas

AI, Data, Evaluation

Agentic workflows, secure data, LLM deployment, benchmarking

Selected clients

Stanford Medicine, Edutopia

Healthcare operations and education research

Our model

Small team, deep expertise

Strype is deliberately small. That means senior engineers on every engagement — no account managers, no handoffs to junior staff, no layers between you and the people making technical decisions.

When projects call for additional depth, we draw on a vetted network of researchers, engineers, and domain specialists. You get focused expertise without the overhead of a large firm.

Next step

Work with a team that understands your domain

If you are building AI or analytics systems for healthcare or education, let's talk about what a focused engagement could look like.