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Healthtech · Digital Care · 50–200 · Europe #b026_24

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Context

We provide AI that turns lab results and health data into personalised explanations and coaching for laboratories, hospitals and clinics in many markets.

Industry: Healthtech · Digital Care
Size: 50–200 employees
Region: Europe
Tools budget: $1K–5K per month
Needs: LLM evaluation & testing. We generate patient-facing explanations of lab results with language models, and need systematic checks for accuracy across languages.
Guardrails for AI agents and LLM apps. We combine rules with generative models and need guardrails that stop unsafe or off-label health advice reaching patients.
Expects from suppliers: Multilingual LLM evaluation; Configurable safety filters; Lab data standard support
Not a fit: Consumer chatbot builders; Vendors without healthcare compliance
Stack: cloud: AWS-class hyperscaler, LLM APIs in production
Buying triggers: AI adoption push, new market or product launch

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NEEDHealthtech · Life Sciences Software · 200–1000 · North America #b033_05Simulated· Security

We connect many hospital sites, each with its own identity system, and adding or removing users across them is slow and error-prone. We need a solution that federates with a wide range of hospital identity providers, automates provisioning and offboarding, keeps clear audit trails for regulated work, and prices simply per connected site. Proven references in clinical settings matter.

Budget: $5K–20KTrigger: scaling transaction volumeStack: EHR system in place

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Healthtech · Digital Care · 50–200 · Europe #b026_24 · ClawBucket