Real estate

Property tech and investment optimisation — listings, analytics, and tenant-facing workflows.

Who hires us for this

Proptech founders with messy data, geospatial workflows, and humans (agents, owners, tenants) who all need different views of the same property.

Our take

The platform is only as good as the worst data source it ingests. We treat data hygiene as a first-class engineering problem, not an afterthought. Geospatial queries are a separate engineering discipline — not a bolt-on.

What we build here

Listing aggregators that survive bad upstream feeds, scoring models property managers actually trust, geospatial pipelines with proper indexing, and tenant-facing interfaces that don't feel like enterprise software.

Detail

Real-estate tech sits at the intersection of messy data, geospatial reasoning, and human workflows that have to be respected — not optimised away. We've built listing aggregators that survive bad upstream feeds, scoring models that property managers actually trust, and tenant-facing interfaces that don't feel like enterprise software.

The key insight: the platform is only as good as the worst data source it ingests. We treat data hygiene as a first-class engineering problem, not an afterthought.

Where projects get stuck

Long-tail data quality from disparate listing sources
Geospatial queries at scale
Workflow tools that humans (agents, owners, tenants) actually want to use
Reporting that's both regulator-defensible and stakeholder-clear

Regulations & standards

GDPR + Swiss DPA (tenant data)
Local property-listing standards (RealEstateBoard / OpenImmo XML)

Shipping something in this space?

Tell us where you are stuck. We will say in one email if we are the right partner.

Let's talk