Drug Safety · Explainable AI

AI that predicts drug allergy risks — before they happen.

Healware gives clinicians molecular-level risk scores with visual explanations, before any prescription is ever made.

The Problem

A gap doctors cannot close with today's tools.

Hidden cross-allergies between structurally similar drugs are impossible to predict reliably without molecular-level AI analysis. The consequences are fatal.

1.25M^*

serious adverse drug reaction cases reported every year worldwide

175K^*

preventable deaths annually from drug reactions, many involving undetected cross-allergies

proactive, explainable, molecular-level allergy prediction tools available to clinicians today

* StatPearls — Adverse Drug Reactions, National Library of Medicine

Who It's For

Clinics

The risk score your patients need you to have.

Before any prescription, know whether a drug is safe for this patient — and why. Healware gives you an explainable risk score that fits into your existing workflow.

Explainable risk score per drug pair
Treatment pathway & cost comparison
Drug availability & restocking
No new system to learn

Request Access →

Hospitals

Reduce adverse events across your entire department.

Healware integrates at the department level — surfacing risk scores inside your existing prescribing system across every relevant specialty.

EMR integration & department-wide access
Treatment cost modelling
Drug availability & restocking
Clinical onboarding support

Book a Pilot →

Research & Partners

Deep-dive into multi-condition allergy profiling.

We're actively exploring research collaborations with clinicians and academics working on drug allergy, immunology, and clinical pharmacology.

Penicillin cross-reactivity mapping
Early oncology drug interactions
Multi-condition allergy profiling

Explore Partnership →

How It Works

Three steps to proactive safety.

Chemical Structure Analysis

The AI scans each drug's molecular structure for hidden similarities with known allergens — like beta-lactam rings or sulfonamide groups that trigger cross-reactions.

Protein Interaction Modeling

We model how the immune system could respond at the biological level — identifying high-risk protein binding patterns before any drug is administered.

Explainable Risk Score

Clinicians receive a visual risk score with molecular highlights — showing exactly why a drug may be dangerous and which safer alternatives exist.

Capabilities

Built for real clinical decisions.

No existing tool combines proactive molecular analysis, explainable AI, and clinical workflow integration — Healware does all three.

HEALWARE RISK ANALYSIS

Known Allergen

→

Candidate Drug

ALLERGY RISK SCORE

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Select a combination above to see cross-allergy risk analysis.

Molecular-level cross-allergy prediction powered by structural drug analysis

Healware analyses drugs using molecular fingerprints and structural similarity algorithms to identify cross-reactivity risks before a prescription is made.

Hybrid decision engine combining clinical guidelines with AI prediction

The system first checks evidence-based clinical rules and, when data is missing, falls back to machine learning models trained on molecular patterns.

Explainable predictions with visual molecular reasoning

Each risk score is supported by interpretable outputs, highlighting specific substructures and features that contribute to the prediction.

Real-time safe alternative generation based on structural dissimilarity

Healware suggests safer medications by comparing molecular distance from the known allergen and ranking viable alternatives.

Interactive molecular exploration for deeper clinical understanding

Doctors can inspect 3D structures and feature-level explanations to understand why a drug is safe or risky.

Region-aware system with local drug mapping and guideline integration

The platform resolves active compounds and maps them to local drug names, ensuring recommendations match regional clinical practice.

Pricing

Priced for
how you work.

Whether you're an individual clinician or a hospital system, we'll build a plan around your volume, integration needs, and clinical context.

Clinic

For individual clinicians and small practices · tailored to your prescribing volume and workflow

Get in touch

Hospital

For hospital departments · includes EMR integration, department-wide access, and clinical onboarding

Get in touch

Enterprise & API

For hospital systems and pharma · white-label, API access, custom SLA, research collaboration

Get in touch

The Team

Built by researchers
who care about patients.

Our story

"Have you ever experienced the frustration of why you still have a bad reaction even after taking the correct medication?" We started off as a group of UCL Computer Science students and researchers, till now we are committed to making a difference in patient care.

Kate Baleiko

Co-Founder · CEO

UCL Computer Science · Research at Microsoft

Joyce Kong

Co-Founder · CTO

UCL Computer Science · Research at HK Robotics Institute

Maybe that's you?

Co-Founder

Join us! Send your CV and let's change the future of medicine together.

Advisors

Healware is backed by practicing physicians, allergists, and immunologists who validate our science — alongside experienced startup and cleantech advisors who guide our growth strategy.

Pilot Studies

We're looking for
clinical partners.

We're actively seeking hospitals, clinics, and research groups to join our early pilot programme — helping shape how Healware works in real clinical environments.

Get in touch

Clinical Validation

Test Healware in your prescribing workflow and help us validate accuracy against real clinical outcomes.

Data & Research Collaboration

If you work in allergy, immunology, or clinical pharmacology, we'd like to explore research collaboration and data partnerships.

Advisory

Practicing clinicians and researchers who want to guide the product — we're always looking for advisors who care about patient safety.

Get in Touch

Let's talk.

Whether you're a clinician, hospital system, or researcher — we'd love to show you Healware in action.

Email info@healware.net

Based in London, United Kingdom

AI that predicts drug allergy risks — before they happen.

A gap doctors cannot close with today's tools.

The risk score your patients need you to have.

Reduce adverse events across your entire department.

Deep-dive into multi-condition allergy profiling.

Three steps to proactive safety.

Chemical Structure Analysis

Protein Interaction Modeling

Explainable Risk Score

Built for real clinical decisions.

Priced forhow you work.

Built by researcherswho care about patients.

We're looking forclinical partners.

Let's talk.

Priced for
how you work.

Built by researchers
who care about patients.

We're looking for
clinical partners.