We raised $5.5M, and we're now Metix AI.

A sharper name, and the funding to build it out.

A Clinical ML Scientist brief goes in. Metix AI runs the search. Booked interviews come back on a calendar. I weighted people who have shipped a model into a clinical workflow, not people who have only trained on public imaging sets. Licensure and shift-fill were out of scope. 121 cleared the bar and were contacted. Patient records never enter this product. The scientific bar stays with you.

Thinking…

Answer the role questions to refine your candidate search

Clinical ML scientist. Booked interviews out.

I weighted people who have shipped a model into a clinical workflow, not people who have only trained on public imaging sets. Licensure and shift-fill were out of scope.

22

Clinical-AI companies and hospital AI teams in the published health-systems map.

20

AI-pharma companies and big-pharma AI teams in the TechBio map.

860M+

Profiles in 190+ countries. Same graph as every other specialist search.

Both maps live under /reports/mapping/. They are talent-structure reports, not a nurse-license database.

The split

What you keep. What Mira runs.

Same loop as the rest of the product. The bar, the outreach approval, and the interviews stay with you.

You

The clinical and ML bar

You define workflow context, model stack, and seniority. Patient PHI never enters this product.

Mira

The specialist search

The same loop as other rare roles, run across 860M+ profiles rather than a list of 22 names.

The outcome

Interview-ready specialists

A booked first interview. Not RN volume, not licensure compact filters, not an EHR.

Hospital AI groups do not have a shortage of resumes. They have a shortage of people who can sit in a clinical workflow meeting and a model review on the same day. The published map of 22 organizations is about locating that overlap. It is not a product for filling allied-health shifts, and it does not touch patient records. If the req is an RN volume funnel, stop here.

The map is a talent-structure report, not a candidate export. It locates the overlap of clinical workflow and machine learning, and names the source pipelines those 22 companies actually draw from. Adjacent, the TechBio map covers 20 AI-pharma companies and big-pharma AI teams, wet-lab and dry-lab crossover included. Neither report is a nurse license database. Neither is a HIPAA product. You write the bar from that structure. Mira searches 860M+ public profiles and books the first interview.

What this page is

Four searches this is for, and one it is not.

01

Clinical ML in a health system

Bilingual talent: clinical workflow and models. The published map is about locating that overlap, not filling allied-health shifts.

02

A clinical-AI company hiring its research bench

Same loop as other specialist roles: brief, approved outreach, booked interview. You keep the scientific bar.

03

TechBio / AI drug discovery

The adjacent TechBio map covers 20 AI-pharma companies and big-pharma AI teams, wet-lab and dry-lab crossover included.

04

Not this: RN, LPN, travel nurse volume

That is a high-volume staffing product. We do not claim licensure compact filters, shift-aware SMS, or a HIPAA workflow for patient records. If that is the job, this is the wrong vendor.

The loop

What you still do. What Mira runs.

1. Write the clinical and ML bar
   You define workflow context, model stack, seniority, and the actual work, written the way you would brief a colleague rather than a polished JD.

2. Sourcing and outreach
   Mira, after you approve. Sourcing runs across 860M+ public profiles, and nothing goes out under your name until you sign off.

3. Screening against the bar you wrote
   Mira screens the overlap of workflow context and model stack before a credit moves, not a license compact.

4. Interview
   You. The scientific bar stays yours, and patient PHI never enters this product, because this is a hiring loop, not an EHR.

Pricing

Published plans. Credits move on the interview.

A credit is one interested, interview-ready candidate. If nobody clears the bar, the credit stays unspent. Yearly billing saves 10 percent. Volume and specialized hiring is quote-only.

Starter

$49/mo
The first role off your plate.

• 3 interview-ready candidates / mo
• 1 active role

Most popular

Growth

$89/mo
More than one front.

• 12 interview-ready candidates / mo
• 3 active roles

Professional

$159/mo
Real hiring volume.

• 30 interview-ready candidates / mo
• 6 active roles

Scale

$299/mo
Hiring like it is the job.

• 75 interview-ready candidates / mo
• 12 active roles

Monthly list prices, checked against the pricing page. Trial: 14 days, 3 New Roles, 12 Credits, no card.

FAQ

Before you start.

Is Metix AI for hiring nurses and allied clinicians at volume?
No. High-volume hourly clinical staffing is a different product. This page is for clinical-AI companies and hospital AI teams hiring people who can work in both clinical workflow and machine learning. The published map covers 22 such organizations.

What evidence sits behind this page?
The Clinical AI and Health Systems talent map at /reports/mapping/clinical-ai-healthcare-2026. Adjacent: the TechBio / AI drug-discovery map at /reports/mapping/techbio-ai-pharma-2026. Both are published reports, not a nurse license database.

Does Metix AI process patient health information?
No. Metix AI is a hiring product. It sources public professional profiles and books interviews. It is not an EHR, and this site does not claim a HIPAA product workflow for patient PHI.

What if the role needs a clinical license, just not volume staffing?
You set that as part of the bar. Mira screens against the bar you approve. This page still is not a nurse-license database and not a compact-filter product. The published map of 22 clinical-AI companies and hospital AI teams is about bilingual talent: clinical workflow and machine learning. Licensure checks, if you require them, stay with the employer. Patient PHI never enters this product.