Transfer pricing

The agreement allocates rights. The conduct allocates value.

The conduct behind the asset, who develops, manufactures, and exploits it, is read from external evidence: what the agreement alone cannot show.

A transfer pricing database that benchmarks comparables on substance — DEMPE roles, control, and risk — tested against independent-party evidence.

LicensorBrand value guardian

Qiantu Motor Ltd.

Legal owner with control

AgreementExternal
Development
Enhancement
MaintenanceQuality control
ProtectionIP protection
Exploitation
IP Box regimeJurisdictionChina · 25%
LicenseeGo-to-market leader

Mullen Automotive, Inc.

Full exploitation licensee

AgreementExternal
DevelopmentR&D
Enhancement
Maintenance
Protection
ExploitationManufacturing
Distribution & salesJurisdictionUnited States · 21%
Philosophical Baseline

A defensible transfer pricing analysis depends on more than finding a comparable and reporting a range.

From Compliance Frameworks to Market Evidence

Transfer pricing guidance defines the questions. DataAlchemist helps teams test those questions against the market.

For transfer pricing teams, substance-over-form analysis requires evidence that connects the legal agreement to the economic reality of the transaction: source documents, clause-level evidence, payment structures, functional indicators, and independent-party market data organized into defensible transfer pricing comparables.

DataAlchemist is a transfer pricing database and analysis platform for that work. It helps teams build, test, document, and challenge arm’s-length positions with benchmarking evidence grounded in real independent-party transactions.

Comparability evidence

Internet licensing · royalty rate
Industry: Internet

Same rate. Opposite substance.

The market pays a passive title holder exactly what it pays a party that actually develops the IP.

Both medians · 20% Technical owner develops the IP Legal owner, no control passive title holder · 75% of market 0 10 20 30 40 50 60 70 Royalty rate — % of net sales
Substance Tension flag · Δ median +0.0 pts: the rate looks identical, so it cannot distinguish the developer from the passive title holder. Relying on the rate alone treats them as the same. Only substance separates them.
A form-based comparable set merges the conduit and the developer. Only an independent substance reconstruction separates them and shows why the same rate can mean opposite economics.

Bottom-Up Comparability

Instead of starting with abstract labels and forcing transactions into them, the platform structures real licensing agreements, service agreements, leases, and contract evidence into benchmark records.

This bottom-up approach helps teams test assumptions. Does DEMPE evidence actually distinguish one group of royalty transactions from another? Does a service fee reflect managed spend, cost-plus compensation, a sales commission, or another fee base?

Intangibles and Royalty Benchmarking

DataAlchemist connects royalty rates to the transaction evidence behind them.

The functional layer helps users review DEMPE evidence, licensor and licensee roles, ownership and control signals, external functional context, and comparability flags, answering whether the party earning the return is supported by the facts.

Edgar surfaces the functional substance behind each comparable: control, risk, and the DEMPE roles each party performs, tested against the record rather than inferred from contract labels.

Comparability Diagnostics

DataAlchemist's Comparability Engine is designed for transfer pricing analysis, not just data exploration.

Trend analysis helps test recency assumptions, while substance diagnostics ask a different question: do transactions that look similar in form still behave similarly once economic reality is considered?

Service Fee Benchmarking

Intercompany services require more than a service label. Records are classified by service type, fee type, payment structure, fee base, and recipient industry.

DataAlchemist captures fee structures including fixed fees, percentage fees, cost-based charges, sales-based fees, asset-based fees, and managed-spend arrangements, filtering out related-party transactions for arm's-length comparison.

Lease and Asset-Use Benchmarks

Transfer pricing also depends on market evidence for the use of tangible assets.

DataAlchemist includes lease and rental benchmarks for real estate, equipment, facilities, vehicles, machinery, and other asset-use arrangements. This provides an additional benchmark layer beyond royalties and services.

Evidence, Notes, and Audit Defense

The strongest transfer pricing position is not built on a range alone.

DataAlchemist connects the benchmark number to the evidence behind it. The Record Notes layer surfaces what matters for review: comparability conflicts, risk flags, structural features, thin evidence, unusual payment terms, and functional inconsistencies.

The Ecosystem

Transfer Pricing Use Cases

01

Benchmarking and Documentation

Build royalty, service fee, lease, and contract-based benchmark sets with source-linked support and structured comparability factors.

02

Policy Design

Use independent-party evidence to support pricing policies, fee structures, royalty ranges, and intercompany transaction frameworks.

03

Audit and Controversy Support

Review the evidence behind selected comparables, identify weak records, and support positions with clauses, source materials, and comparability notes.

04

DEMPE and Functional Analysis

Test whether functional profiles, control signals, ownership structures, and risk indicators support or challenge the selected benchmark set.

05

Market Evidence Testing

Evaluate whether assumptions about recency, industry behavior, service fee mechanics, or functional pricing are supported by observed independent-party data.

Conclusion

Why DataAlchemist Benchmarks Are Different

DataAlchemist is built for transfer pricing teams that need to explain why a comparable is reliable. It combines royalty rates, service fee benchmarks, lease benchmarks, contract intelligence, normalized payment structures, and clause-level evidence.

01

Evidence-Backed Benchmarking

Connect arm's-length analysis to evidence, context, and market behavior, rather than simply retrieving a list of records.

02

Substance-Aware Comparability

Evaluate whether legal form, functional profile, ownership, and evidence depth change the pricing story told by the headline range.

03

Audit-Ready Documentation

Support positions with integrated source materials, comparability notes, and risk flags directly tied to the transaction.

Request a Transfer Pricing Walkthrough

See how DataAlchemist supports transfer pricing benchmarking, policy design, DEMPE analysis, service fee review, lease benchmarking, and audit defense with evidence-backed comparability.

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