AI & data analytics consulting

AI and analytics built for healthcare and education

We help teams turn data into dependable products and decisions. From secure pipelines and dashboards to agentic AI workflows and evaluation, we deliver systems that are easy to use, easy to audit, and built to last.

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The challenge

Healthcare and education need AI they can actually trust

Most organizations in sensitive domains face the same set of problems: AI pilots that never reach production. Data systems that cannot be audited. Metrics no one trusts. Vendors who ship demos, not systems.

Strype exists to close that gap. We bring engineering discipline to domains where getting it wrong has real consequences.

What we do

End-to-end delivery for data and AI systems

01

Agentic AI for task automation

Design agent workflows that reduce manual work while keeping humans in control. Intake triage, document routing, QA checklists, and data requests.
02

Secure data storage and management

Build governed data layers, access controls, lineage, and monitoring. Systems your compliance team can sign off on.
03

LLM pretraining, finetuning, and deployment

Train and ship models with repeatable pipelines and production guardrails. Known cost, known latency, known quality.
04

Benchmarking and analysis for AI systems

Evaluate quality, robustness, bias, and drift, then report results stakeholders can trust.
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How we work

Define. Build. Prove.

01

Define

Align on outcomes, constraints, and what good looks like. Write down assumptions and success criteria before writing code.

02

Build

Ship in tight iterations with measurable checkpoints. Every sprint delivers working components, not slide decks.

03

Prove

Validate with benchmarks, audits, and plain-language reporting. Systems earn trust through evidence, not promises.
5+ Organizations across healthcare and education
12+ Production systems shipped and maintained
100% Engagements include evaluation and benchmarking

Recent work

A few ways we help teams move

Healthcare

Surgery operations analytics

Decision-ready metrics and reporting workflows for clinical teams at Stanford Medicine. Now in daily use.

Education

Education research pipelines

Reproducible data products that support programs and policy at the George Lucas Educational Foundation.

Analytics

Analytics platform modernization

Faster analysis with stronger governance and reliability. Data systems that scale with the product.
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Next step

Let's build something you can stand behind

Share your goals and constraints. We will respond with a short plan, timeline, and options.