Appraisal system · 4 November 2026Illustrative
Valuation report · p. 9, property details
Apartment no. 7, second floor. Measured on site: gross area 118 m², the basis of the valuation.
→ deed shows a different area · query the area, not the value
Use casesFinancial institutions & fintech
Every mortgage and real-estate collateral arrives as a long appraisal report, often a scan; each must agree with the deed, the zoning, and your collateral rules before the loan can go ahead.
With the systemEach appraisal report read, checked against the land registry, the license lists, and your rules; the reviewer decides.
Appraisal system · 4 November 2026Illustrative
Valuation report · p. 9, property details
Apartment no. 7, second floor. Measured on site: gross area 118 m², the basis of the valuation.
→ deed shows a different area · query the area, not the value
The reviewer gets the report already read, the registry, license, and earlier-report checks already run, and the areas, comparables, and loan-to-value already tested by your own policy. The area differs from the deed, so a question on that fact is drafted; the reviewer decides.
SLM · what the report says
Agent · checks, read-only
Your rules · consistency and policy
SLM · drafts
Ready in your template: the review note with two findings and their pages, and one question to the firm on the area; nothing on the value itself.
Why a person decidesTaking the report, sending it back on a fact, or ordering a second report is the reviewer's; no one may suggest a value to the firm.
DecidesValuation unit reviewer
For your technical team — skip it if you like.
In
SLM · understands
Fine-tuned on appraisal reports, scans included
Reads
Out
Agent · prepares
Parallel checks, read-only
Reads
Out
Code · calculates
Your collateral policy, run as code; no model
Reads
Out
SLM · understands
The same SLM, in your review template
Reads
Out
Decision
Reads
Out
Parallel
The checks are independent of one another and every report needs all of them, so they run at the same time and merge into one file.
Your expert writes the test first. A step the test does not need is skipped, and we say why.
Test set
300–600 recent reports labeled by your valuation unit with every field and every inconsistency they found, plus 100–200 review notes they grade against your template.
Dataset
Past reports from the firms you work with, your reviewers' notes, and the firms' answers; owners' personal data masked in training copies.
Continued pre-training (CPT)If needed
Only if the base model fails the test on valuation, zoning, and land-registry vocabulary.
Supervised fine-tuning (SFT)
On each firm's report layouts, scanned pages and tables included, and on your review template.
Reinforcement learning (RL)Skipped
Skipped: reading fields and writing to a template are taught by fine-tuning, and the rules check the rest.
Retrieval
Retrieval supplies your current collateral policy and the rules; the policy tests come from the rule table, never from the model.
Monitoring
The valuation unit grades a sample every month; a new firm's layout or a policy change triggers a re-test before it applies.
The reviewer in your valuation unit decides every report: take it into the collateral file, send it back to the firm on a fact, or order a second report from another firm; credit decides the loan, inside its written authority.
Where the time goes, and what your institution will measure.
Measured in the Decision Blueprint
Today's review time per report, the errors found after disbursement, and the second reports ordered, from your valuation unit's log, set the baseline; your institution sets the target.
The rules, the data, and the known error, with its guard.
We take a month of appraisal reports with your valuation unit, list what the reviewers found in each, collect your collateral policy, and test the reader on your own reports, scans included, before anything is built.
Who builds it Every engagement is led by an engineer who has built machine-learning models that real decisions run on since 2012, and language models and agentic systems in production since 2024. About eqlx
Equalize the gap.
A short description of the work is enough; no confidential records.
https://eqlx.ai/use-cases/collateral-appraisal-review · Printed copy; the website is the current version.