Haurlan offers a platform that helps users price items or assets lacking established market data, enabling more informed valuation decisions. The service is currently in an early‑access phase, allowing interested users to sign up for upcoming features.
Funding
Funding not disclosed
Founders
Product
Problem
Many items and assets—such as collectibles, niche equipment, or emerging digital tokens—lack reliable market price data, making it difficult for owners, buyers, and analysts to determine a fair valuation.
Solution
Haurlan delivers a web‑based platform that generates price estimates for assets without established market references. The system combines user‑provided attributes with algorithmic analysis of public transaction records, comparable sales, and alternative data sources to produce a price range and confidence score. Users can view the underlying rationale, adjust input parameters, and export the valuation report. An early‑access program lets interested users test upcoming features and provide feedback before full launch. The platform is designed to integrate with existing workflows via a simple API, enabling seamless incorporation of valuation data into marketplaces, investment tools, or appraisal processes.
Target Audience
Primary users are collectors, investors, and marketplace operators who need reliable valuations for illiquid, niche, or newly emerging assets.
Features
- Data aggregation engine that pulls comparable sales, auction results, and public listings to build reference datasets for obscure assets
- Machine‑learning models that adjust estimates based on asset attributes, condition, and market trends
- Interactive UI for entering asset details, selecting comparable groups, and visualizing price distributions
- Confidence metrics and explanatory notes that clarify the factors influencing each estimate
- Export options for PDF reports and JSON API endpoints for automated integration with third‑party systems