Engineering a modular AI intelligence platform to monitor daily fine art auctions—identifying undervalued opportunities through contextual AI reasoning and strategic AI business rules.
Trusted by Leading Fortune 500 Innovators
High-value asset monitoring requiring deep contextual knowledge of artistic styles, historical periods, and market heuristics.
AI Architect + Scraping Specialists + Backend Engineers embedded to automate Drouot auction oversight.
Capturing undervalued paintings by analyzing artist significance and historical comparable data at scale.
Microservices architecture, LLM prompt engineering, and automated web-scraping with anti-bot resilience.
The client required a system to identify undervalued fine art across thousands of daily auction listings. The manual process—logging in, scanning lot descriptions, researching artistic context, and evaluating pricing—was time-intensive and highly inconsistent.
The risk was structural: the 'Execution Gap' in research speed meant high-alpha opportunities were missed. The client needed to transition from 'Manual Scanning' to 'Autonomous Intelligence' capable of interpreting artistic significance without human intervention.
Analysts manually scanning listings and conducting secondary research on external sites.
Autonomous extraction and AI inference delivering valuation insights instantly.
Reliance on individual researcher intuition and fragmented historical data.
AI evaluating artistic movement consistency and historical price-to-market signals.
Expanding to additional auction houses required hiring more full-time researchers.
Additional platforms integrated via scalable data extractors with zero disruptive system changes.
Constructed complex instruction sets that prevent generic AI outputs, forcing the model to frame art valuation within historical market context.
Every AI-generated 'undervalued' flag is accompanied by a technical logic trail, explaining the stylistic and financial basis for the insight.
Automated task scheduling ensures zero manual intervention from login to final report delivery.
Pre-built logic for navigating anti-bot barriers and managing encrypted session authentication.
Production-ready prompt templates for stylistic classification and valuation heuristic modeling.
Real-time monitoring of scraping success rates and AI inference latency dashboards.
Normalisation templates to convert fragmented auction metadata into structured investment data.
Autonomous monitoring eliminated the need for analysts to manually log in and scan daily listings.
AI-driven oversight ensures 100% of auction lots are evaluated against strategic criteria, eliminating human oversight.
The modular cloud architecture allows additional auction houses to be added with minimal engineering effort.
Client Testimonial
Coretus didn't just build a scraper—they engineered a market intelligence engine that interprets the fine art market for us. We've automated the entire research lifecycle and can now identify alpha opportunities in seconds.
Founder // DrouotAI