For most South Africans, buying a home is the single biggest financial decision they will ever face, yet the market remains frustratingly opaque. While property portals list what’s on sale, they rarely reveal whether suburb prices are climbing or stalling, how long listings linger, or what rental yields look like. A Cape Town start‑up called FindHomes is set to change that by layering real‑time intelligence on top of South Africa’s fragmented property data.
The company, co‑founded by tech veteran Adrian Bunge and growth specialist Jo Eyre, has spent the last 18 months building a searchable, analytics‑rich platform that blends natural‑language queries, image recognition, suburb‑level investment metrics and an AI agent that delivers on‑demand market reports via WhatsApp. After a lengthy bootstrapped phase, FindHomes has opened its first round of capital raising, seeking investors who can provide industry connections as well as funding.
Bunge, who serves as CEO and CTO, grew up watching his family navigate the property market and spent over a decade engineering software for financial services. He authored The Eight Laws of Property Investing in South Africa and is personally responsible for the platform’s technical architecture. Eyre, the chief growth officer, brings a global marketing résumé that includes stints at Epic Games’ Quixel, the scaling of streaming service iflix across Africa, and regional leadership at Opera Mini.
The platform’s origin story is personal. Bunge’s mother bought a Rondebosch apartment at the market’s peak seven years ago, only to watch its value dip as new developments flooded the area. “It was a totally avoidable mistake because we didn’t have the data,” he told TechCentral. That experience highlighted a glaring gap: South African home‑buyers are often flying blind in a market that deliberately hides the data they need most.
FindHomes tackles that blind spot with a search interface that understands everyday language. Want a house within a 15‑minute drive of a specific school? The system uses Google’s location API to filter listings accordingly. Query “kitchen with a mountain view” and the platform scans property photographs—not just the agent’s description—to surface only homes that actually match the visual criteria.
Beyond smart search, the platform produces suburb‑level analytical reports covering days on market, sell‑through versus expired mandates, months of supply, price‑cut frequency, and price‑per‑square‑metre trends. These insights draw from deeds records and the company’s own continuous listing monitoring. A separate suite predicts rental yields by juxtaposing sales prices with rental data, a feature Bunge describes as “the holy grail of property investing.”
Lola, the AI agent that powers WhatsApp interactions, is FindHomes’ most distinctive offering. Early‑access Plus subscribers can ask Lola to compare suburbs, benchmark a specific listing against recent sales, or evaluate the impact of a new‑build development. By using WhatsApp—South Africa’s most popular messaging app—FindHomes sidesteps the need for a dedicated mobile app and meets estate agents where they already operate.
Avoiding AI hallucination is the team’s toughest engineering battle. To keep Lola truthful, the system pulls answers from verified data sources, executes any required calculations in code, and then runs the output through a secondary, smaller model for verification. “These are multimillion‑rand investments for people,” Bunge notes. “Although we’re not giving investment advice, we really don’t want somebody to make a mistake.”
Data collection relies heavily on scraping estate‑agency websites, which Bunge estimates gives FindHomes about 95 % coverage of listings. Agencies can request takedown links if they wish their properties removed. A recent partnership with geospatial firm AfriGIS will soon overlay flood‑risk maps, with lightning‑risk data slated for a Gauteng rollout. For now, the service is limited to the Western Cape.
FindHomes property platform pricing and features
| Plan | Price (R) | Key Features |
|---|---|---|
| Free tier | R0 | AI‑powered search, commute‑based filtering, price‑per‑square‑metre analysis, custom property alerts |
| Plus tier | R3 000 per 3 months (R1 000 / month) | Historical sales data (2022‑present) for all Cape Town suburbs, rental & yield forecasts on every listing, one‑on‑one expert guidance, early access to Lola |
The table shows the Plus tier adds deep historical data and personalised support for a modest monthly fee, positioning it as a serious tool for serious investors rather than a casual browsing service.
FindHomes is now courting angel investors who can do more than write checks. The founders want backers who can open doors within the property ecosystem and mentor a young team still navigating rapid growth. The start‑up recently reached the top‑10 shortlist at the Innovation City Startup of the Year Awards and presented at Africa Tech Week’s pitching den.
The bigger question is whether an intelligence‑first product can thrive against entrenched portals that already command massive traffic and could, in theory, graft similar AI features onto their existing sites. FindHomes’ answer lies in trust: accuracy, transparency and a buyer‑centric approach that portal giants struggle to replicate because their business models prioritize agent listings over consumer insight.
If that bet pays off, the impact could extend beyond a new app—it may reshape how South Africans buy and sell property, nudging the whole market toward greater openness and data‑driven decision‑making.