Healthcare operations
A multi-location clinic platform connecting scheduling, patient workflows and operational reporting.
Typical scope: discovery, experience design, architecture, delivery and ongoing improvement.
Until approved client stories are available for publication, we present representative solution patterns and project types without inventing names, testimonials or performance claims.
A multi-location clinic platform connecting scheduling, patient workflows and operational reporting.
Typical scope: discovery, experience design, architecture, delivery and ongoing improvement.
A field-service and reporting platform designed around farm visits, sample tracking and multilingual delivery.
Typical scope: discovery, experience design, architecture, delivery and ongoing improvement.
A complete product and GTM foundation spanning product experience, website, CRM and demand workflows.
Typical scope: discovery, experience design, architecture, delivery and ongoing improvement.
A structured coordination environment for multidisciplinary models, issues and project information.
Typical scope: discovery, experience design, architecture, delivery and ongoing improvement.
The modelling is similar everywhere. What differs is the constraint that decides the programme — density, repetition, tolerance or operational access — and that is what shapes the scope we propose.
What governs it: Service density. Whitespace, containment and plant redundancy leave almost no spare void, and late coordination is expensive to unwind.
What it draws on: Fabrication-level MEP modelling, tight clash tolerances, penetration scheduling and asset data structured for day-one operations.
What governs it: Long-span structure, complex envelope geometry and phased works across a live operational estate.
What it draws on: Facade and curtain wall detailing, structural steel detailing, and sequencing built around possession windows rather than an idealised programme.
What governs it: Repetition. Unit typologies, riser stacks and standard details repeat hundreds of times, so an error in a typical detail multiplies instead of staying local.
What it draws on: Typology-driven architectural modelling, content standardisation, riser coordination and model-based quantities per unit type.
What governs it: Density above the ceiling, medical gas and specialist equipment, and maintenance access that has to work without closing a clinical area.
What it draws on: MEP coordination with real access zones, equipment families carrying compliance data, and handover information the estates team can operate from.
What governs it: Brownfield reality. Existing structures and process plant are rarely as-drawn, and tie-in points are fixed by what is physically there.
What it draws on: Scan to BIM of existing conditions at a stated tolerance, structural modelling around process constraints, and steel detailing for tie-ins and access platforms.
What governs it: Tolerance. The building already exists, the drawings may be decades old, and the margin between design intent and installed reality is small.
What it draws on: Existing-condition capture, legacy drawing conversion, and shop drawings dimensioned from measured reality rather than from the original design set.