Industries / PropTech

Property software is written in offices and used in basements.

The inspector is in a crawlspace with one bar of signal, a phone at 12%, and forty photos to capture before the next appointment. If your app needs the network to work, it doesn't work. We build the systems that survive the field — and the analytics that make sense of what comes back.

Our own product

We didn't pick PropTech from a market report.

We build and run HouseInspector — a property inspection platform with real inspectors, real basements and real bad signal. Every constraint on this page is one we've hit ourselves, at 4pm on a Friday, with a customer waiting for a report.

That's the difference between a vendor who has read about offline sync and one who has been paged because of it.

Capture modeOffline
Queued photos38
SyncResumable
ReportGenerated · 2 min
What we build

From the crawlspace to the boardroom deck.

01

Offline-first capture

A local-first data model with a conflict resolution policy decided up front — so two people editing the same job doesn't become a support ticket.

  • Durable local queue & retry
  • Deterministic conflict rules
  • Battery- and data-aware sync
02

Media pipelines

Hundreds of high-resolution photos per job, uploaded on flaky connections and processed without anybody watching a spinner.

  • Resumable multipart uploads
  • Derivative generation & EXIF handling
  • Lifecycle tiering to keep storage sane
03

Report generation

Templated, branded, legally careful documents produced in seconds — with versioning, so you can always retrieve exactly what the client received.

  • Deterministic PDF rendering
  • Template & branding per account
  • Immutable delivered versions
04

Property & portfolio data

A canonical property model that survives address messiness, unit splits and the fact that three data providers will spell the same street differently.

  • Address normalisation & matching
  • Geospatial querying
  • Third-party data enrichment
05

Portfolio analytics

Roll-ups across thousands of properties: condition trends, recurring defects, cost forecasting — the view that turns inspection data into an asset.

  • Warehouse & semantic layer
  • Scheduled and embedded reporting
  • Trend and anomaly surfacing
06

AI where it earns its place

Drafting inspection narratives, tagging defects in photos, extracting fields from documents — always as a suggestion a human confirms, never as an unattended decision.

  • Human-in-the-loop by default
  • Evaluated against real inspection data
  • See our AI approach
PropTech

If it has to work with no signal, we've been there.

Inspections, maintenance, lettings, valuations, facilities — anywhere field reality meets a database, we know where the bodies are buried.

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