Company details

HEADCOUNT

1-24

ORG TYPE

Startup

SECTOR

Healthcare & Life Sciences

WEBSITE

https://www.health-ai.co.uk

About the company

Health-AI is an Ipswich-based digital health startup focused on post-transplant care, with a product line it calls “Intelligent Assistants” for patients and clinicians. Health-AI’s flagship product, TrackMyTac, supports kidney and liver transplant patients and their doctors by tracking Tacrolimus dosing and using predictive models to forecast future drug levels. Health-AI’s public “Our Story” page describes Leslie Dewhurst founding the company in 2020 following personal experience of kidney failure and transplant. The legal entity HEALTH-AI HOLDINGS LIMITED was incorporated on May 5, 2020 with a registered address in Ipswich.

Locations and presence

Health-AI’s registered office is in Ipswich, England. TrackMyTac is described on the public site as being used across “three Continents,” suggesting users outside the UK even if the team footprint is not publicly listed.

Palpable Score

26.5

/ 100

Health-AI publishes substantial detail about the product and clinical use case, but almost nothing about hiring, onboarding, pay, or progression. With no visible job listings, no stated recruitment process, and no public outcomes data for junior hires, the score is capped across every pillar.

Pillar 1: Early-career access

Score

3.5

/ 20

The company does not publish open roles, internships, apprenticeships, or any “0–3 years” pathways in public-facing pages.
Health-AI provides a general contact email and product demonstration prompts, but no “join the team” or vacancy channel for early-career candidates.
The company’s public content focuses on product releases and studies rather than repeat hiring for junior titles such as Associate, Analyst, Junior, or Assistant.

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Pillar 2: Hiring fairness and transparency

Score

5.5

/ 20

The company does not describe interview stages, decision timelines, or assessment expectations for applicants.
Health-AI does not publish role scopes, required skills, or application steps that would let a candidate judge fit before applying.
The company provides a single contact route, which can work for a micro team, but it leaves candidates without clarity on response expectations or hiring fairness norms.

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Pillar 3: Learning and support

Score

6.0

/ 20

The company describes a patient-led study and ongoing product iterations (for example TrackMyTac and DoseBuddy), but does not link this to any structured onboarding or supervised junior learning.
Health-AI does not publish mentoring, pairing, 1:1s, performance reviews, or a ramp plan for new starters.
The company’s materials are aimed at patients and clinicians, so there is no visible internal learning support signal for early-career hires.

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Pillar 4: Pay fairness and stability

Score

7.0

/ 20

The company does not publish salary bands, equity explanations, or benefits for any role level, which limits pay fairness assessment for graduates.
Health-AI does not advertise unpaid internships or volunteer roles publicly, so there is no direct negative pay signal in the open material reviewed.
The company provides no information about contract types, probation, or job stability practices for any potential hires.

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Pillar 5: Early-career outcomes

Score

4.5

/ 20

The company does not publish team growth stories, junior progression examples, or promotions that would show what happens to early-career hires after 12–24 months.
Health-AI has no visible employee review footprint in major public review channels for this specific entity, limiting insight into retention and early-career sentiment.
The company has a founder public profile and external appearances, but LinkedIn does not provide a clear, attributable pattern of early-career hiring and progression for Health-AI as an employer.

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