DataAlchemist builds source-linked benchmark intelligence for transfer pricing, IP valuation, and advisory work.
The platform converts official-source agreements, filings, patents, regulatory materials, and market disclosures into structured benchmark records that professionals can search, test, review, and defend.
DataAlchemist's methodology reflects two decades of work in royalty-benchmark construction and intangibles analysis.
They need benchmark data that can be understood, compared, traced, and defended. A royalty rate, service fee, lease term, or contract clause only becomes useful when the source, context, payment structure, rights, parties, and economic profile behind the record are visible.
Traditional databases catalog extracted fields: rates, dates, agreement names, and industries, a starting point, not the finished record.
Modern benchmarking requires a fuller view of the transaction. DataAlchemist is built to preserve the connection between the source document, the structured record, and the benchmark analysis.
DataAlchemist records are built through a layered production process designed to produce benchmark intelligence, not just searchable text.
The source base spans the principal public-disclosure regimes across multiple jurisdictions, alongside publicly filed agreements, patents, regulatory materials, and market communications. The objective is not document accumulation. It is to preserve the evidentiary chain.
Agreement terms are structured and normalized. Payment structures are tabulated. Industries are classified at the asset level. Related-party indicators, functional signals, and evidence depth are added when supported by the source record.
Technology alone is not enough. We combine model-assisted processing, rule-based checks, and analyst review. Records are reviewed for consistency, classification quality, payment-term logic, and comparability relevance.
Edgar is DataAlchemist's in-house, domain-trained AI model: built, not bought. It was developed over years of annotated data and benchmark-construction work, trained on the domain judgments this field requires: agreement identification, royalty-rate extraction, clause interpretation, party mapping, and transaction characterization. Model-assisted processing, rule-based checks, and analyst review work as one.
Edgar is embedded in how every benchmark is constructed, not bolted on as a search feature, and it continues to improve through expert-reviewed production.
Because Edgar works during construction, each record arrives already structured, linked, and enriched, not raw text waiting to be searched.
A record connects the agreement, normalized fields, source clauses, intangible descriptions, development-stage context, and functional evidence. This gives users a stronger starting point for analysis.
DataAlchemist supports professionals who need source-linked benchmark intelligence for high-stakes work.
Use royalty rates, service fee benchmarks, lease benchmarks, contracts, DEMPE evidence, and comparability diagnostics to support arm's-length analysis, documentation, policy design, and audit defense.
Use comparable licensing transactions, payment structures, market context, rights granted, and source-linked evidence for IP valuation, PPA, reasonable royalty analysis, and technology transfer.
Use agreement evidence, clauses, licensing comparables, and Evidence Packs for disputes, expert reports, audit review, litigation support, and internal memoranda.
Use royalty benchmarks, market terms, rights structures, exclusivity, payment mechanics, and commercialization context to support licensing strategy and negotiation preparation.
Discuss how DataAlchemist can support your transfer pricing, IP valuation, royalty benchmarking, service fee, lease, or advisory workflows.
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