The problem
A Turkish family buying a flat negotiates blind: no reliable comparable sales, bank appraisals that take weeks, and listing prices set by hope. Lenders face the mirror problem — collateral they cannot price quickly or consistently outside big cities.
How it works
Endeksa’s platform crunches listings, transaction history, and neighbourhood signals with machine learning to produce an automated valuation, location analysis, and market forecast in seconds. Consumers check what their home is worth; banks, appraisal companies, agents, and retailers buy reports and data feeds. In February 2026 Endeksa merged with sister portal Emlakjet (both inside iLab), and Emlakjet relaunched that June as an AI-powered real-estate decision platform built on Endeksa’s valuation engine.
Pain points
Overpaying without comparables, mortgage approvals stalled on slow appraisals, and agents pricing on instinct rather than data.
Business model
B2B SaaS-style subscriptions and per-report fees from banks, appraisers, agents, developers, and public-sector users, plus consumer-facing valuation tools — now distributed through Emlakjet’s portal traffic.
Challenges
Model accuracy depends on listing data quality, which thins out beyond major cities; sahibinden.com and other portals command the audience; and regulated appraisal incumbents defend the mortgage-valuation channel.
Funding
- Raised: $430K across 3 rounds including a July 2019 seed (Bounce Watch); investor Revo Capital lists Endeksa in its portfolio.
- iLab Ventures took a majority stake in December 2021 (AIM Group); Endeksa merged with Emlakjet in 2026.
- Valuation: MISSING.
Latest — June 2026
Emlakjet marked its 20th anniversary by relaunching as a data-led real estate decision platform, the public face of its February merger with Endeksa, integrating Endeksa’s AI valuation and analytics into listings, value estimates, and investment timing tools.