AI Engineering for Healthcare

We embed with your team to design, build, and deploy AI in production.

The AI Implementation Bottleneck

AI capabilities have leaped forward but healthcare implementations haven't kept pace. Every organization is racing to adopt AI but is experiencing the same parallel issues.

  1. 1.
    Rapid pace; AI capabilities are evolving faster than organizations can evaluate them
  2. 2.
    Evaluation paralysis; C-suites struggle to assess which tools and vendors to back
  3. 3.
    Governance gaps; No established frameworks for AI oversight, risk management, or compliance
  4. 4.
    Impact measurement; Quantifying ROI on AI initiatives remains challenging
  5. 5.
    Scale economics; Running AI systems at production scale is expensive
  6. 6.
    Talent shortage; Organizations can't hire the engineering expertise they need
  7. 7.
    Legacy constraints; Antiquated systems, old UIs, broken APIs, and incompatible data formats slow progress
60%

of healthcare organizations face AI expertise shortages

[1]
2/3

of healthcare organizations cite legacy systems as a major constraint

[2]
30%

of AI pilots reach production

[3]
Who We Are

Healthcare operators building AI for healthcare.

We believe every healthcare organization—not just those with massive IT budgets—should benefit from AI. The technology exists. The engineering expertise to deploy it doesn't. We're filling that gap.

Background in healthcare ops, finance, and engineering. We've seen these problems from the inside.

Your Team + Our AI Expertise

Your clinical expertise. Our engineering depth. An FDE who bridges both worlds.

01

Embed & Discover

  • •Shadow actual workflows
  • •Map the real process (not the SOP)
  • •Build trust with end users
  • •Identify highest-impact opportunities
02

Build & Deploy

  • •Write production code on your infrastructure
  • •Integrate with existing EHRs and systems
  • •Ship iteratively, not in 18-month cycles
  • •Train your team as we build
03

Improve & Scale

  • •Measure outcomes, iterate together
  • •Expand into adjacent workflows
  • •Build internal AI fluency over time
  • •Graduate from project to partnership

Powered by our own AI platform to accelerate your AI transition. A HIPAA-compliant reasoning layer for medical record analysis.

app.daisyai.ai
MRN
Author
Diagnosis
Updated
776655
Dr. Smith
Stroke with Complications
9-1-25
123987
Dr. Chen
Acute Appendicitis
9-1-25
112233
Dr. Patel
Acute Pancreatitis
9-1-25
456789
Dr. Wilson
Acute Myocardial Infarction
9-1-25
654321
Dr. Garcia
COPD Exacerbation
9-1-25
789432
Dr. Lee
Community Acquired Pneumonia
9-1-25
889900
Dr. Brown
Left Femoral Neck Fracture
9-1-25
334455
Dr. Miller
Diabetic Ketoacidosis
9-1-25
556677
Dr. Davis
Acute Renal Failure
9-1-25
778899
Dr. Taylor
Sepsis, Unspecified
9-1-25

Our Focus

Who We Work With

Regional health systems
Payers
UM/UR outsourcing companies
Physician groups
Medical billing and workers' comp
Behavioral health organizations

Common Challenges We Solve

Executive teams under pressure to adopt AI without a clear path to production
Stalled pilots that never made it into real workflows
Automation tools that increased expectations, rework, and oversight
Difficulty standardizing, auditing, and defending decisions at scale
Clinical teams overwhelmed by rising case volume and fixed headcount
Manual chart review and criteria checks that break at scale
Highly trained clinical staff spending hours on clerical and documentation work
Clinical data fragmented across EMRs, PDFs, faxes, and payer portals

Let's Talk About Your AI Challenges

Book a call. No pitch, just problem-solving. We'll tell you honestly if we can help—and if we can't, we'll point you to someone who might.