Inky HealthClinical experience, engineering depth.
Inky Health is an applied AI company for health and government. We bring clinical, research, engineering, and governance expertise together, and shape the team to the size of the work.
Expertise across the stack.
Healthcare AI fails at the seams between disciplines. We keep them in one team.
Clinical
Clinicians who have made the decisions our models support, involved in requirements, labelling, and review.
Machine learning & research
Model training, fine-tuning, and evaluation, grounded in published research and sound study design.
Engineering & delivery
Retrieval, OCR, inference, infrastructure, and the applications people use every day, across web and mobile.
Governance & regulation
Privacy, security, HREC, and TGA considerations built into the work from the first conversation.
Sized to the work.
From a two-week review to a multi-year programme, the team grows with the problem.
Focused review
A senior specialist tests feasibility, data, and risk, and gives a written recommendation.
Model or system build
A delivery team of ML engineers, software engineers, and clinical reviewers, sized to the project.
Ongoing programme
Multiple workstreams, production support, and continued evaluation as models and data change.
Leadership.
Gareth BeallFounder
Gareth spent more than a decade as an intensive care pharmacist before moving into AI. He has since built and delivered AI systems for government organisations, published research, and shipped software from mobile apps to games.
He leads Inky Health's technical work across fine-tuning, retrieval, OCR, and inference.
How we work.
Senior people on the work
The people who scope the work are the people who build it. There is no hand-off to a junior team.
Clinical judgement in the room
Requirements, labels, and failure cases are reviewed by people who understand the clinical context.
Honest about fit
If the problem does not need AI, or is better served by someone else, we will say so.
Start a conversation.
Tell us about the clinical or operational problem. If we are not the right fit, we will say so.
Enquiries are typically answered within one business day.