Case Studies | PropTech

Building with CentralNest: An AWS Foundation for AI-Powered Surveying

CentralNest
About

CentralNest gives UK removal companies an accurate inventory of a customer's home from a short video walkthrough, replacing manual surveys that routinely disagree by tens of cubic feet between surveyors.

Challenge
  • Manual volume surveys are inherently inconsistent - two surveyors can walk the same house and arrive at very different cubic-foot estimates.
  • That imprecision costs removal companies money on underestimated jobs and loses business on overestimated quotes.
  • Running computer vision reliably across variable lighting, cluttered rooms and every kind of British home is a serious infrastructure problem, not just a modelling one.
Solution

Cloud Combinator worked with CentralNest's founders from an early stage to design a cloud environment that could ingest video, run inference, store inventories and scale without falling over during traffic spikes.

By the numbers:

  • Quotes generated in minutes with no home visit required
  • Consolidated AWS billing and optimised spend through the Solution Provider Program
  • Targeting a £1.4bn UK removals industry

What changed:

  • Customers film a walkthrough on their phone; CentralNest's computer-vision model returns an itemised inventory with volume estimates that removal companies can review and adjust before quoting.
  • Cloud Combinator designed the video-ingestion and inference pipeline to scale with demand rather than run on idle, pre-provisioned capacity, with observability built in to catch problems early.
  • Through the AWS Solution Provider Program, Cloud Combinator continues to manage and evolve the environment, new regions, model versions and cost optimisations, as an ongoing partnership rather than a one-off build.
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