# 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](/content/reports/mapping/clinical-ai-healthcare-2026/index.html) 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](/content/reports/mapping/techbio-ai-pharma-2026/index.html) 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](/content/pricing/index.html). 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.