Healthcare & Pharma

Miniml build AI systems that help healthcare organisations and life sciences companies deliver safer, smarter, and more personalised care—at scale.

Precision at Scale

AI is transforming how healthcare and life sciences operate—from accelerating drug discovery to enabling personalised treatment plans and streamlining clinical workflows.

At Miniml, we develop production-grade AI systems for real-world use: whether you’re optimising patient pathways, detecting fraud, or translating real-world evidence into action. We help organisations unlock value fast, without compromising compliance or safety.

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Our Expertise

We bring extensive cross-industry expertise to design, build, and deploy custom machine learning solutions.

Artificial Intelligence

Use advanced AI models to adapt healthcare outreach across platforms. Optimise engagement strategies by identifying high-value providers and tailoring content, timing, and channel mix accordingly.

Data Science & Analytics

Unlock insight across the provider lifecycle using data science. From behaviour-based segmentation to treatment pathway modelling, we help you personalise outreach and improve HCP engagement with clarity and precision.

Built for Health Systems

Deploy production-ready machine learning to detect prescription fraud, surface insights from unstructured health data, and accelerate therapeutic development. Built with compliance, observability, and integration in mind.

Built for Health Systems

Our platforms are designed for modern healthcare environments—where security, explainability, and compliance aren’t optional.

We support structured, unstructured, and longitudinal data, with deployments available on-prem, in the cloud, or hybrid. Our systems integrate with EHRs, claims databases, and real-world evidence pipelines while delivering clear, actionable outputs for clinicians, researchers, and operational teams.

Miniml don’t just optimise for accuracy—we engineer for trust, transparency, and production.

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From Research to Real-World Impact

From simulation to deployment, we help teams bridge the gap between experimental models and production-ready solutions. Whether you’re building synthetic data systems, automating clinical review, or developing reinforcement learning for dosage optimisation, we build end-to-end pipelines that work in regulated, real-world contexts.