FinTech // Client Project

From Hours of Auction Research to
Daily AI Shortlists.

We built an AI-powered research platform that monitors fine-art auction listings, gathers the important details, evaluates opportunities using defined criteria, and delivers a focused shortlist for review.

Key Results RESULTS
90%
Less Research Effort
Automated Review
Daily
Opportunity Reports
Consistent Monitoring
100%
Listing Coverage
Rule-Based Review

Trusted by teams building ambitious products

What We Set Out to Improve.

Business
Fine Art Market Research

A specialist investment workflow that required reviewing large numbers of auction listings every day.

Partnership
Dedicated Product Team

Coretus supported research workflow design, data collection, AI analysis, backend development, reporting, and automation.

Goal
Faster Auction Research & Opportunity Discovery

Reduce time spent manually reviewing listings while keeping the final investment decision with the user.

What We Built
AI Auction Research Platform

A system that collects auction data, analyzes each lot against defined criteria, and creates a daily shortlist with supporting context.

What Was Getting in the Way.

Finding interesting opportunities meant opening auction platforms every day, reviewing large numbers of listings, researching artists, checking context, and comparing prices.

The process depended heavily on manual attention. During busy auction periods, strong opportunities could be missed simply because there was not enough time to review everything consistently.

Missed Opportunities
High listing volumes made it difficult to review every relevant lot with the same level of attention.
Inconsistent Research
Manual research could vary depending on time available and which information the researcher found first.
Too Much Repetitive Work
A large part of the process involved collecting and organizing information before meaningful analysis could begin.
The Solution

What We Built.

01
Collect Auction Listings
The platform automatically gathers the important details from auction listings instead of requiring manual copying and tracking.
Key details
Source Auction Listings
Schedule Automated
Output Structured Data
02
Analyze Against Clear Criteria
AI reviews the available information using defined research rules such as artist context, style, historical relevance, and pricing signals.
Key details
Input Artwork Context
Rules Defined Criteria
Output Opportunity Score
03
Create a Daily Shortlist
The strongest matches are organized into a clear daily report with the reasoning needed for a person to review the opportunity.
Key details
Format Shortlist
Context Reasoning
Frequency Daily
Before and After

How the Workflow Improved.

Area
Before
After
Research Speed

Hours of Manual Review

Researchers opened listings and gathered supporting information one by one.

Automated First Review

Listings are collected and analyzed before the researcher starts the day.

Consistency

Depends on Available Time

The depth of research could vary during high-volume periods.

Same Criteria Every Time

Every listing is checked against the same defined research rules.

Scaling

More Listings = More Work

Expanding coverage required more manual research time.

Broader Automated Coverage

More listings can be reviewed without increasing research effort at the same rate.

Key Features

What Made the Solution Useful.

AI ANALYSIS

Consistent Research Rules

AI evaluates each listing using a repeatable set of business and market criteria instead of producing generic summaries.

Business impact
More Consistent Analysis
CLEAR REASONING

Why It Was Flagged

Shortlisted opportunities include the context behind the recommendation so the user can decide what deserves deeper review.

Business impact
More Useful Shortlists
WORKFLOW AUTOMATION

Automatic Daily Monitoring

Collection, analysis, and reporting run on a schedule, removing much of the repetitive preparation work.

Business impact
Less Manual Research
Faster Delivery

How We Reduced Build Time.

Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.

What accelerated the work

4 reusable building blocks
01

Secure Account Access

A tested starting point for secure account access reduced repeated setup work.

02

AI Analysis Templates

Reusable work for ai analysis templates let the team focus more time on the client’s specific needs.

03

Automation Monitoring

This made it easier to add automation monitoring without rebuilding common foundations.

04

Structured Market Data

A tested starting point for structured market data reduced repeated setup work.

Results

The Business Difference.

A straightforward before-and-after view of what changed for the team and their customers.

RESULT: EFFICIENCY01

Research Time

Automated collection and first-pass analysis removed much of the daily manual review work.

BeforeHigh Manual Effort
After90% Faster
Outcome90% Less Research Effort
RESULT: COVERAGE02

Listing Review

Every collected auction lot can be evaluated against the same research criteria before human review.

BeforePartial
After100% Coverage
Outcome100% Automated First-Pass Review
RESULT: SCALE03

Adding New Sources

The workflow was designed so additional auction sources could be added without rebuilding the full platform.

BeforeManual Expansion
AfterReusable Process
OutcomeEasier Multi-Source Expansion
Results90% Less Research Effort • 100% Automated First-Pass Review
Trust and Control

How We Kept It Safe and Reliable.

01
Account Security
Credentials used for automated research are stored and handled securely.
SECURE
02
Research Transparency
The platform keeps the source information and reasoning connected to each shortlisted opportunity.
TRACEABLE
03
Reliable Automation
Scheduled jobs, retries, and monitoring help keep daily research running consistently.
RELIABLE
04
Code and IP Ownership
The client retains ownership of the custom research workflows, automation, and code created for the project.
100% OWNED
Client Testimonial

In their own words.

Coretus didnt just build a scraper, they built a market intelligence engine that interprets the fine art market for us. Weve automated the entire research lifecycle and can now identify opportunities in seconds.

Turn Repetitive Research into Daily Decision Support.

Have a similar challenge? We can help you plan and build a practical FinTech solution around your goals, budget, and existing systems.

Automated Monitoring

AI-Assisted Analysis

Clear Daily Reporting