AI and the Appraiser: from futuristic to everyday tool

AI is developing at a rapid pace. Big tech companies are constantly competing to create the smartest, fastest and most powerful models. But who are these AI powerhouses?

The main players in AI

𝗢𝗽𝗲𝗻𝗔𝗜 – Known from ChatGPT (GPT-4.5 and GPT-4o). Widely applicable for writing, analyzing and coding.
𝗚𝗼𝗼𝗴𝗹𝗲 𝗗𝗲𝗲𝗽𝗠𝗶𝗻𝗱 – Powers Gemini: multimodal models (text, image, audio, video) with extremely long context. Gemini 2.5 processes up to 1 million tokens.
𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 – Built by Claude, with a focus on safety and ethics. Claude 3.7 Sonnet performs at GPT-4 level.
𝗠𝗲𝘁𝗮 – Known from open-source LLaMA. LLaMA 4 supports multimodality, mixture-of-experts, and long context.
𝗗𝗲𝗲𝗽𝗦𝗲𝗲𝗸 – Chinese player with models like DeepSeek-V2 and R1. Strong in coding and multilingual analysis.
𝗠𝗶𝘀𝘁𝗿𝗮𝗹 – European startup with light, open models like Mistral 7B and Mixtral. Mixtral is efficient and approaches GPT-3.5.
𝘅𝗔𝗜 – Elon Musk’s AI company is developing Grok: a quirky model integrated into X, with real-time access to platform data.

From technology to valuation practice

How do you translate this to the work of the appraiser? At KATE we are constantly investigating which models are best suited to which task. The right combination delivers the best results.

AI touches almost every aspect of the valuation process:
– Digitizing rental information
– Enriching and validating data
– Interpreting inspection data
– Market analysis
– Reference assessment
– Reporting and control

Three current examples:

𝟭. Smart rental analysis
Upload a rental contract or rental list and within seconds the relevant data is read, validated and ready for your calculation model. Fully traceable, and can be directly enriched with, among other things, tenant creditworthiness. Fewer errors, more insight.

𝟮. Analysis of transaction data
A lot of transaction data is limited or incomplete. AI automatically completes and structures data. This makes comparisons between references stronger and valuations more substantiated.

𝟯. Chat with your report
Your AI assistant reads your report as a second reader. You get feedback on substantiation, risks and possible blind spots. This makes your report sharper, more complete and more defensible.

The future has begun
These examples are just the beginning. AI is no longer an experiment, but is growing into a permanent part of the appraiser’s toolkit. What was once a pipe dream is now becoming a daily practice.

In the next article we look at the broker. Which tools help with more efficient sales and purchase processes, market analysis and responding to trends?