The challenge
What needed to change
Estate agencies needed fast, defensible valuations at scale — not spreadsheets and guesswork — to qualify leads and win instructions.
Case study
Enterprise
PropTech AI Valuation Engine — Real-Time Property Appraisals at Scale
Built an ML valuation engine trained on 2M+ historical sales records, combined with a real-time market analysis API and a lead generation SaaS layer for estate agents. 94% valuation accuracy.
Key metrics
50k+
Properties valued
94%
Valuation accuracy
22 wks
Build time
Our approach
What we built
We trained and deployed an ML valuation model on 2M+ comparable sales, exposed it through a real-time API, and wrapped it in a lead-gen SaaS layer for agent workflows — with Next.js for the product surface.
Results
Outcomes in production
50k+ properties valued, 94% accuracy against hold-out benchmarks, and twenty-two weeks from data pipeline to production API.
NEXT PROJECT
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