Healthcare has a footprint problem, and a data problem
If the global health sector were a country, it would be the fifth largest emitter on the planet. It accounts for about 4.4% of global net emissions, and between 62% and 71% of those emissions come from procurement and supply chains rather than from the buildings themselves.
Most hospitals know this. What they lack is a way to act on it that fits the reality of a ward, a procurement office or a facilities team. Sustainability data sits in invoices, spreadsheets, supplier reports and contractor emails. Guidance is scattered across standards, national rules and clinical evidence. Generic ESG tools were built for corporate reporting, not for a nurse deciding which disposable to order or a buyer writing an environmental award criterion. We build the missing layer: software that connects evidence, decisions and results inside the organisation, and that people actually use.
Four areas where software changes outcomes
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01
Knowledge and AI assistants
Trusted, role specific answers drawn from standards, regulations, procurement criteria and clinical evidence, with sources shown and greenwashing flagged.
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02
Planning and procurement workflows
From a sustainability target to a concrete action plan, with baselines, prioritisation, tender templates and post award monitoring.
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03
Coordination across teams and suppliers
Approvals that follow your real organisation, supplier engagement that includes small local businesses, and an audit trail for every decision.
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04
Learning and change
Short, role based training embedded in daily work, from onboarding self assessments to ward level playbooks and patient facing materials.
AI that shows its sources
Read our approach to AIAI is at the core of what we build, and it is never a black box. Our assistants retrieve from curated, validated knowledge bases, cite every source, show a confidence level and hand over to a human when confidence is low. Models run on EU infrastructure, and every deployment is classified and documented under the EU AI Act.
Answers come from validated documents, with citations.
Expert review queues for new content and low confidence answers.
Open and EU hosted models where data residency requires it.
Evidence > Action. Data > Decisions. Design > Adoption.
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STEP 1
Understand the organisation, not just the requirement.
We start with the people who will use the software: clinicians, procurement officers, facility managers, compliance teams. Interviews, shadowing and co-design workshops come before the first line of code.
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STEP 2
Build on recognised standards.
GHG Protocol, ISO 14001, ISO 20400, EMAS, green public procurement criteria and national requirements are built into the data model, so reporting is audit ready from the start.
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STEP 3
Ship in small steps, measure the effect.
Working software every few weeks, tested with real users on real data, with KPIs agreed upfront so everyone can see what changed.
Engineers who build, advisors who know the ward
Our core team combines senior product design, front end and back end engineering, AI development and DevOps. For sustainability content, procurement rules and clinical practice we work with experienced domain advisors from healthcare sustainability, so that every feature is grounded in how hospitals actually operate.
Meet the team
Insights
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