Built for how the art market actually works.
Cataloguing 500 lots before a spring sale. Appraising a family collection over a weekend. Booking $40M in art collateral at continuous mark-to-market. LiveArt is the AI intelligence layer underneath each one.
◇ A
◇ B
◇ CAuction records · 1986–today
Artists with AI financial metrics
Auction houses normalized
Monthly API uptime SLA
Four audiences. One intelligence layer.
Same engine. Four very different integration shapes.
Each section ≈ 2 min read.
- 01
Institutions, Platforms & Marketplaces
API · indices · marketplaces · lending
- ·REST API · LAE on every record
- ·Embedded LAE badges for marketplaces
- ·Continuous mark-to-market for lending
- ·Indices in the LAI family — LAI100, segment & medium
- 02
Auction Houses
Consignment → catalogue → sale
- ·Catalogue 500 lots in days, not weeks
- ·Pre-sale estimates anchored to 10M+ comps
- ·Post-sale specialist PnL by lot
- 03
Advisors & Appraisers
Appraisal → comp pack → ongoing portfolio
- ·USPAP-ready appraisal in minutes
- ·White-label client portfolio dashboard
- ·Continuous mark-to-market for clients
- 04
Dealers & Galleries
Source → price → match buyer
- ·Per-artwork pricing with sell-through %
- ·AI buyer matching against your CRM
- ·Live market signals on your roster
Direct-link any section · #institutions · #auction-houses · #advisors · #dealers
Institutions, Platforms & Marketplaces.
Art market data, plumbed into financial infrastructure.

Enterprise API
OpenAPI 3.1 · 10M+ enriched records
Art Market Indices
LAI family · methodology audit-ready
Artist Analytics
Financial metrics on 350K+ artists
LiveArt Estimate™
Per-artwork AI valuations
● LIVE = working example · ◆ TOOL = explainer on Tools page · ◇ DEVS = full API reference
99.5%
API uptime SLA
monthly
48 hr
Data freshness
top houses
16
Hammer + premium
currencies
Art assets booked at last-known cost, revalued on appraisal cycles, never benchmarked
Marketplace listings priced without context; buyers and sellers both flying blind
Collateral monitoring depends on a third-party appraiser's PDF arriving on time
REST API with LAE on every record, similarity vectors, repeat-sale time series
Embedded LAE™ badges on every marketplace listing — a Zestimate-style trust signal at scale
Continuous mark-to-market with momentum, volatility, and concentration risk monitored daily
Published indices in the LAI family — methodology, audit log, on the roadmap for major terminal distribution
Same API, five different integration shapes.
Art-Secured Lenders
Continuous LTV at origination and monitoring. Volatility and concentration alerts on the collateral book. Hours, not appraisals.
Online Marketplaces
Embedded LAE™ badges on every listing, AI-suggested ask at upload, similarity-vector search. Built for two-sided platforms at scale.
Insurance
Mark-to-market for fine-art books. Annual revaluation cycles compressed to continuous, with momentum and concentration alerts on the schedule.
Index Licensees
LAI family — flagship LAI100, segment and medium sub-indices, currency-hedged variants. Methodology audit-ready; terminal distribution on the roadmap.
Investment Platforms & RWA
Per-artwork institutional pricing for fractional ownership, art funds, and tokenization. Built for structured-product creation.
We were ready to build the art-pricing layer in-house. The build estimate came back at 18 months and a research team. We licensed LiveArt's API in three weeks.
— Head of Alternatives Engineering, multi-strategy asset manager
02 · Auction Houses
Auction Houses.
From consignment to post-sale, in hours not weeks.
Cataloguing
Image-to-lot in seconds
LiveArt Estimate™
Per-artwork AI valuations
Live Streaming
AI overlay on live auctions
Deal Intelligence
Pricing context for transactions
● LIVE = working example · ◆ TOOL = explainer on Tools page · ◇ DEVS = full API reference
12 min
Image-to-catalogue
median
−75%
Specialist research hrs
vs manual
+18%
Above-estimate share
across pilot
4–6 hours of specialist time per lot for cataloguing, comp research, and estimate setting
Pre-sale estimates anchored to whatever comparable the specialist remembered
Post-sale analytics in spreadsheets, weeks after the hammer
Image-to-lot in 12 minutes, comp pack auto-generated, LAE™ pre-filled
Pre-sale estimates anchored to 10M+ records and 12-month momentum on every lot
Streaming results with AI overlay during the sale, full PnL by specialist that night
The specialist team is doing fewer comps and more consignments. The catalogue work that used to eat a week of pre-sale prep happens in a single sitting.
— Head of Modern & Contemporary, top-5 international auction house
03 · Advisors & Appraisers
Advisors & Appraisers.
From a single appraisal to an ongoing client platform.

LiveArt Estimate™
Per-artwork AI valuations
AI Advisor
Natural language to the market
MyCollection
Continuous portfolio valuation
Artist Analytics
Financial metrics on 350K+ artists
● LIVE = working example · ◆ TOOL = explainer on Tools page · ◇ DEVS = full API reference
−80%
Time per appraisal
vs manual
2.3×
Client retention
year-over-year
USPAP
Audit-ready packs
machine-output
3–5 days of manual comp research per appraisal, PDF delivered, engagement ends
Client portfolio valued once a year, on request, with stale comps
Mark-to-market disputes resolved by the loudest opinion in the room
AI-ranked comparables and a draft appraisal package in 3 minutes; you review, you sign
White-label client portal with continuous LAE, momentum alerts, and concentration risk
Sharpe ratios, repeat-sale CAR, and methodology citation on every line item
We stopped competing on the appraisal price. The competition is whether the client can run their own valuation dashboard at midnight. With LiveArt, ours can.
— Founding Partner, mid-sized fine-art advisory practice
04 · Dealers & Galleries
Dealers & Galleries.
Price like a specialist. Match buyers like a network.

LiveArt Estimate™
Per-artwork AI valuations
Deal Intelligence
Pricing context for transactions
Browser Extension
LiveArt on any website
Artist Analytics
Financial metrics on 350K+ artists
● LIVE = working example · ◆ TOOL = explainer on Tools page · ◇ DEVS = full API reference
+40%
Inventory turnover
12-month
10M+
Behind every ask
comparables
−65%
Buyer-match time
first contact
Inventory priced by intuition, calibrated against the last gallery dinner
Buyer matching by Rolodex; a single departing director is a single point of failure
Market intelligence delivered by 8-week-old newsletters
Per-artwork LAE™ with confidence range and sell-through likelihood — same workflow whether you sell from a Mayfair gallery, an online viewing room, or your own storefront
Similarity-vector buyer matching against your historical CRM — by aesthetic, not just price
Live market signals across artists in your roster, surfaced before the auction lots clear
Pricing a Rothko works on paper used to mean a phone call to four people who might not be available. Now I see twelve comparable sales before the client finishes asking.
— Director, contemporary dealer with locations in New York, London, and an online viewing room
One intelligence layer.
Plug in at any tier.
Auction houses, advisors, dealers, and institutions all sit on top of the same five layers. Most enterprise clients integrate at layers 1–4 and build their own application surface; LiveArt's products are layer 5, available as ready-to-use applications or as white-label.
5
Applications
4
AI Analytics
3
AI Pricing
2
Financial Metrics
1
Data
REST API · OpenAPI 3.1 · Methodology published · read the methodology →
What the people running these workflows actually say.
Quotes anonymized to role and institution type. Named case studies available under NDA on request.
◆ AUCTION HOUSE
“The catalogue that used to be 600 hours of departmental work is closer to 90. The math is in the API and the specialists are out doing the consignments.”
— Senior Specialist · 20th-Century Art · top-5 international house
◆ ADVISORY
“Our average client used to call once a year for the appraisal. They now log into the dashboard 18 times a quarter. The retention conversation is over.”
— Managing Partner · single-family-office advisory practice
◆ LENDING DESK
“We replaced a 90-day appraisal cycle with a daily mark on the API. The risk committee actually trusts the LTV now, because they can see what changed and when.”
— Head of Art-Secured Lending · boutique credit fund
Published commitments. Audited methodology.
Every number on this page traces back to a methodology document. Every SLA on this page is contractual. Read the full methodology →
99.5%
Monthly API uptime SLA
Excluding scheduled maintenance4 hr
Critical issue response
Within business hours48 hr
Data freshness · top houses
Christie's, Sotheby's, Phillips, Bonhams, Heritage, Poly, China Guardian14 d
Data freshness · other houses
1,400+ regional and specialist housesTwo ways to start. Pick whichever fits the work.
Build on the API.
OpenAPI 3.1 spec, typed client generation, 10M+ records enriched per request. Sandbox keys in minutes; production keys in a day.
Book a 30-min workflow review.
Walk one of your team's workflows through with our solutions engineers. We'll send back a written assessment with integration scope and SLA terms within 5 business days.
