Appraisal Intelligence
AI asset appraisal & valuation
Asset appraisal that reads the file instead of asking an analyst to. It extracts assets from PDFs, spreadsheets and photos, retrieves comparable historical sales, and produces a three-tier valuation with the reasoning cited back to its source. What used to be a week of desk research arrives as a client-ready report.
- Reads any documentPDFs · sheets · photos
- Comparable saleshistorical matches
- Three-tier valuationlow · mid · high
- Any layoutscanned or structured
- Review-readysources & audit trail
Problem vs solution
An appraisal starts as a pile of files in whatever form they arrived.
How this normally goes
A schedule in a spreadsheet, a report as a scan, photographs from the site visit. Most of the elapsed time is transcription and comparable-hunting rather than judgement, and the reasoning ends up in a working file nobody can audit.
What we deploy instead
A pipeline that reads whatever arrived, retrieves the evidence, and produces fair market, orderly liquidation and forced liquidation values with each element pointing back at its source.
Presales and Discovery
What our architects hand you before implementation starts.
Book an architecture sessionSystem Design
Where the pipeline sits against your practice management and document stores.
Comparables strategy
Which sources you license, which are yours, and how they are weighted.
Confidence and review policy
What gets auto-filled, what is escalated, and who signs.
Cloud cost model
What it costs per appraisal at your volume.
Under the hood
Multimodal intake
PDFs including scans, spreadsheets and photographs, without a template per client.
Comparable-sales retrieval
Comparables pulled per identified asset, so the number rests on transactions rather than assumption.
Three tiers, not one number
Fair market, orderly liquidation and forced liquidation, which is what a reviewer and a client can both work with.
Reasoning cited to source
Every element points back to the document, page or comparable it came from, so a disputed number is checkable.
Client-ready reporting
Branded appraisal report, exportable to DOCX and PDF, rather than a data dump for someone to format.
Level of customization
Yours to change
Report templates and branding, comparable sources and weighting, the asset taxonomy, and confidence thresholds.
What we keep stable
Provenance. An element without a traceable source does not enter the report.
How it ships
In your cloud, wired to your document stores, extended by the engineers who built it.
ROI and economics
What you do not build
Layout-independent extraction, comparables retrieval, the valuation tiering, and the provenance chain that makes a disputed number checkable.
Where the calendar goes
Not the first successful extraction, but the formats you have not seen yet and the review workflow around them.
Throughput
Analyst time moves from reading and searching to the judgement calls the pipeline deliberately leaves open.
Where this fits
A good fit
A valuation practice with real volume, heterogeneous source documents, and clients who ask how a number was reached.
Not a fit
Single asset classes with a standard form and a public price reference, where the research is already trivial.
Services in AI in Finance
All services
Part of AI in Finance
AI put to work in finance operations, grounded, governed, and running in production.
Get AI into production,
not just a demo.
Have a workflow begging for AI, whether documents, copilots or forecasting? Tell us the use case and we'll take it to production, governed for risk.