Property intelligence for serious capital
GlowSpaces AI helps property teams organize acquisition, renovation, and underwriting decisions with structured estimates and clearly stated assumptions.
NatWest Business Accelerator (Belfast) · Property inputs, uploaded evidence & baseline estimates
Interactive demo
Choose a synthetic sample property to explore spatial evidence, an example cost takeoff, and underwriting scenarios. No visitor property is analyzed.
Flip — Buy, refurbish, sell.
These example tags show how evidence could be referenced. They are fabricated demo coordinates, not measurements from a real scan.
Sample 3-bed terraced, North London (illustrative)
Demo source: Synthetic sample twin · not an uploaded or measured model
SYNTHETIC-L1-RM-01
Synthetic coordinates: X 0.0–4.2 · Y 0.0–3.1 · Z 0.0–2.7
Example area: 142 sq ft
SYNTHETIC-L1-WL-03
Synthetic coordinates: X 4.2 · Y 1.6 · Z 0.0–2.4
Example area: 41 sq ft
How it works
No spreadsheets. No black box. A clear path from raw spatial data to a committee-ready view.
Add property details and supporting files. Available public records and data connections depend on the market and are identified where configured.
Review structured value, baseline CapEx, and scenario estimates. Precision figures remain targets until independently validated.
Get an investor-ready prospectus, scenario models, and a CapEx schedule you can take to committee the same day.
What you actually get back
Bring property inputs, baseline renovation estimates, and scenario assumptions into one analysis view, then export a standard report for further review.
Illustrative figures in £ (GBP). Reference rates: £1 ≈ €1.16 / $1.26.
Who it's for
Same engine, five playbooks. Pick the one that matches how you work.
Honest about what the numbers mean
We publish target benchmarks separately from measured results. The figures below have not been validated against a documented holdout dataset.
The 94% ARV, 88% CapEx, 91% time-on-market, and 96% rent-roll figures are targets only. They are not verified or back-tested results.

Built by someone who's been doing this for 16+ years
Emil Indricau has 16+ years of experience in technology, 3D, digital twins, and digital transformation. He launched GlowSpaces AI from Belfast to build the product he wishes existed when he made his first deal.
Early Access
Join the waitlist to get early access and priority onboarding for General Availability.
See how much analyst time and value your team can recover by replacing manual analysis workflows with GlowSpaces.
Baseline: 6 analyst-hours saved per GlowSpaces analysis (manual comp pulls, contractor bid sheets, scenario spreadsheets).
Two ways to start
Join the beta to use the platform yourself, or book a 20-minute demo and we'll walk through a real deal in your target market together.