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HeroBold Statement

Healthcare AI Engineering

Ship AI that nurses
actually use.

We embed inside health plans to build clinical AI that works in production — not in a demo. Utilization review, case management, clinical decision support that ships in weeks, not quarters.

ProblemSharp Pain Points

The AI Implementation Bottleneck

Why health plan AI pilots fail.

60% of healthcare organizations report AI expertise shortages. But the real problem isn't talent — it's how the work gets done.

Vendors ship demos, not workflows

Most AI tools are built by people who've never watched a nurse work a case. The result: software that looks great in a boardroom and collects dust in operations.

Pilots stall at 'promising'

POCs get green lights. Then they sit in staging for 6 months waiting for IT, compliance, integrations. Meanwhile, the clinical team moves on.

Evaluation paralysis

Too many options. Every vendor claims 90%+ accuracy. Nobody can tell you what happens when the model is wrong and a nurse has to clean it up.

Scale economics don't work

Per-seat SaaS pricing at enterprise rates. Health plans need tools that make economic sense across hundreds of reviewers, not executive dashboards.

How We WorkThree Phases

Your Team + Our AI Expertise

We embed with your team. Then we ship.

Not a 12-month consulting engagement. Not a SaaS login. We sit inside your operations and build AI tools alongside the people who use them.

01

Embed & Discover

Weeks 1-2
  • -Shadow your clinical reviewers
  • -Map actual workflows (not the documented ones)
  • -Identify highest-impact automation targets
  • -Build trust with the ops team
02

Build & Deploy

Weeks 3-8
  • -Ship production code into your environment
  • -Integrate with your EHR, claims systems, clinical data
  • -Iterate daily with the people doing the work
  • -Go live incrementally — not a big-bang launch
03

Improve & Scale

Ongoing
  • -Measure outcomes against your KPIs
  • -Expand to adjacent workflows
  • -Train your team to own the tools
  • -Build internal AI fluency
What We BuildFocus Areas

What We Build

Clinical AI for utilization review.

We focus on the clinical operations workflows where AI has the highest leverage — the repetitive, criteria-driven work that burns out your best reviewers.

Capabilities

AI-Powered Case Review

Automated clinical criteria matching against medical policies. Surfaces relevant evidence, flags gaps, recommends decisions — with full audit trails.

Clinical Decision Support

Real-time guidance during case review. Not a chatbot — structured, criteria-driven support that fits your existing workflow.

Intelligent Case Routing

Auto-triage incoming cases by complexity, urgency, and reviewer expertise. Route the right case to the right nurse.

Documentation Automation

Generate determination letters, clinical summaries, and compliance documentation from structured review data.

Who We Serve

Regional Health Plans

10K-500K members, resource-constrained UR teams

Blue Cross Blue Shield Plans

Multi-state operations, legacy system environments

Medicaid Managed Care

High volume, complex populations, strict timelines

Third-Party Administrators

Multi-client operations needing scalable review tools

Common Challenges We Solve

  • -AI pilots that stalled after the demo
  • -Reviewer burnout from repetitive criteria lookups
  • -Inconsistent determinations across reviewers
  • -Compliance documentation taking longer than the review itself
  • -Vendor tools that don't fit your actual workflow
ProofNumbers + Segments

Why Health Plans Choose Us

Healthcare operators building AI for healthcare.

Weeks
to production, not months
100%
of pilots in active use
HIPAA
compliant from day zero
FDE
model — we embed, not consult

We're not consultants

Consultants write reports. We write production code. We ship tools that your nurses use tomorrow morning, not next quarter.

We're not a SaaS vendor

No off-the-shelf platform that 'just needs configuration.' We build custom tools inside your environment, against your data, for your workflows.

We're clinical insiders

Our team comes from healthcare operations. We know what a UR nurse's morning looks like. That context is the difference between AI that ships and AI that sits.

TeamFounders

Who We Are

Healthcare operators who build.

We're not a research lab. We're not ex-FAANG engineers discovering healthcare. We come from the industry and we build for the people doing the work.

TS

Thomas Startz

Co-Founder · Product & Engineering

Full-stack engineer focused on healthcare AI systems. Builds the product, the infrastructure, and the tools that power clinical operations. Previously in health tech product development.

Focus: Product, engineering, technical strategy

ML

Michael Langer

Co-Founder · GTM & Clinical Relationships

Healthcare operations background with deep relationships across health plans and clinical organizations. Understands the buyer, the user, and the regulatory landscape.

Focus: Sales, partnerships, clinical validation

Daisy

v1

What do you need?

I can pull up the fundraise pipeline, CRM accounts, hot board, meeting notes — anything in the OS.

Sonnet · read-only