Property sales are broken at the point of qualification
41% of agreed sales in the UK fall through before completion. That's £1.5bn lost annually — not because buyers disappear, but because no one knew which ones were real in the first place. Agents lose £4,123 per collapsed sale. Developers lose £8,333 per unit for every month delayed. The industry treats every enquiry the same and hopes for the best.
We started Naybourhood because we believed there was a better way: use AI to score every buyer on their actual likelihood to complete — before you invest time, marketing spend, or legal fees. Create leads, enrich them, score them, act on them. One pipeline, one intelligence layer, zero guesswork.
The team building buyer intelligence
Kofi Bartels-Kodwo
Co-Founder, CEO
- Founded Million Pound Homes (250k followers, £50M+)
- Ex-Barclays — 7 years in finance, 10 years in property
Ben Auffarth
Co-Founder, Chief AI
- Ex-Head of Data Science at Loveholidays
- 20+ years in AI & ML research and industry; built systems across fraud, MLOps, and sovereign AI
Sam Yearsley
GTM
- Built GTM motions for 14 venture-backed companies
- Developed 30+ enterprise partnerships for GTM
Guided by industry leaders
Konstantina Papadopoulou
Advisor, Proptech
- Strategy & M&A leader: CBRE, Clifford Chance, SoftBank
- Fulbright Scholar, Berkeley Angel Network
Yasmine El Hani
Advisor
- AdTech Exec: Yahoo, Orange, Financial Times, EVP EMEA at Numatec
- LP at FirstPartyCapital; specialist in EMEA market entry
An intelligence layer for every lead
Every lead that enters Naybourhood is automatically enriched, scored, and classified — in under 5 seconds. Our proprietary pipeline connects your lead sources to your CRM with AI decisions in between.
Identity & Contact
- Email validity, deliverability, and disposable detection
- Phone parsing, carrier/VoIP classification, and breach lookup
- IP geolocation and neighbourhood affluence scoring
Financial Signals
- Property ownership records (UK HMLR, France DVF, South Africa)
- Aircraft ownership across UK, US, Swiss, and SA registries
- Shareholding disclosures from stock exchanges globally
Professional Background
- LinkedIn profile, occupation, and experience level
- Corporate directorships and officer roles
- Professional credential verification
Risk & Compliance
- PEP screening with tier classification
- Adverse media screening in English, Arabic, and Spanish
- Sanctions list checks and breach intelligence
Digital Footprint
- GitHub, Gravatar, and social presence detection
- WhatsApp Business and Truecaller identity
- Wikipedia and public figure recognition
Scoring & Classification
- Trust score (0–100) for identity quality
- Credit score (0–100) as purchasing capacity proxy
- Tier labels: Cold, Warm, Hot, Prime
Enrichment runs across 60+ data sources and registries spanning the UK, EU, Gulf states, Africa, and Latin America — all without the lead knowing they were enriched.
Predict who will complete — not just who's interested
Property sales teams waste time on buyers who never complete. Naybourhood uses AI to score every buyer on proceedability — so you focus on the ones who will actually exchange.
Talk to us