What We Do
XAI Land develops institutional-grade valuation infrastructure designed for regulated financial environments.
Our work focuses on three structural pillars measurable accuracy, explainable AI architecture, and decision-support tools for risk and policy oversight.
These principles define how our approach differs from conventional automated valuation systems.
Our Institutional Approach
1. Measurable Accuracy – Not Marketing Claims
We evaluate our AVMs using internationally recognized statistical standards and out-of-sample validation against real transaction data.
Our methodology includes:
- Median Absolute Percentage Error (MdAPE)
- PPE within ±5%, ±10%, ±20%
- Coverage and hit-rate transparency
- Continuous recalibration and performance monitoring
We publish how we measure performance because valuation accuracy should be verifiable.
→ Learn how we measure and validate accuracy
2. Explainable & Audit-Ready AI
XAI Land’s AVM is built for regulated environments.
Every valuation includes:
- Feature-level contribution analysis
- Confidence assessment and price range
- Version-controlled model documentation
- Full data traceability
Our structured AI pipeline supports:
- Model Risk Management (MRM)
- Internal audit review
- Regulatory inspections
- AI governance requirements under Korea’s AI기본법
This is not “black box AI.”
It is institutional-grade system architecture.
→ Explore our Explainable AI framework
3. Decision-Support Tools for Risk & Policy
Beyond automated price estimates, XAI Land provides professional-grade analytical tools through our Value Report platform.
This includes:
- Radius-based comparable transaction analysis (not restricted by administrative boundaries)
- Integrated analysis of 매매 · 전세 · 분양권 · 입주권
- Raw transaction data transparency
- Auction sale price ratio (경매 매각가율) monitoring
- Market stress and liquidity indicators
These tools support:
- Collateral defense and credit review
- Regulatory reporting
- Portfolio monitoring
- Policy analysis
- Market surveillance
Better comparables lead to better decisions.
→ Discover Value Report features
Research & Policy Contribution
XAI Land actively contributes to the development of transparent AVM standards in Korea.
Our CEO co-authored peer-reviewed research published in the Journal of Real Estate Analysis (2024) examining nearly 20,000 transactions and proposing independent validation frameworks for AVMs.
We engage with financial institutions, regulators, and academic stakeholders to advance:
- Transparent performance disclosure standards
- Independent validation structures
- Conflict-of-interest awareness in valuation
- Explainable AI governance practices
→ Read about our research and policy work
Together, these components form a defensible valuation infrastructure aligned with financial risk management, regulatory review, and public accountability.
XAI Land’s objective is not simply to generate automated price estimates, but to help build measurable, transparent, and governance-aligned standards for Korea’s real estate valuation ecosystem.