Dataset opportunity
Porath — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Porath, usable for Regulatory RAG and Compliance Copilots.
Score
67.5
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
56%
Action
Data Sharing Agreement
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market
Global customs declaration software market was valued at $2.8 billion in 2025, projected to grow at a 9.1% CAGR (2026-2034) (source: Dataintelo).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-17
2026 air cargo rates could rise 15% due to Iran war impacts
freightwaves.com ↗ - 📰press2026-07-17
Tariffs, Iran war prompt ocean shippers to scrap tradition: Los Angeles port head
supplychaindive.com ↗ - 📰press2026-07-16
4 ways tariffs and geopolitics are impacting commodity markets
supplychaindive.com ↗ - 📰press2026-07-16
US tags Brazil imports with 25% tariff
supplychaindive.com ↗ - 📰press2026-07-15
Osprey brand owner says high supply chain costs are outpacing IEEPA tariff refunds
supplychaindive.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
RegTech & compliance-AI vendors
Porath holds a proprietary Regulatory Records Dataset composed of Text modality evidence from customs declarations, event streams, and transaction_data. This rich, structured, and semi-structured information is an ideal asset for developing and fine-tuning a Regulatory RAG system, enabling it to accurately answer complex queries on customs compliance and international trade regulations.
The global customs declaration software market, which this data directly fuels, was valued at $2.8 billion in 2025 and is projected to grow at a 9.1% CAGR. Despite access complexities such as PII requiring anonymization and shared data ownership with clients, the rarity and depth of this aggregated dataset offer a significant competitive advantage, making the negotiation for access a worthwhile investment for leading AI-driven compliance solutions. ⚠ Diligence (valuable data, access to negotiate): Data contains PII (names, addresses) requiring anonymization.; Ownership is shared with clients (declarants), requiring specific usage rights for aggregation.; Part of Customs Support Group; decision-making may be centralized at the group level. · corporate: subsidiary of Customs Support Group.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Porath possesses a high-volume, proprietary dataset of over 4 million annual customs declarations across 16 countries. This data is uniquely enriched by deep, hands-on expertise in customs classification and duty optimisation, making it a prime asset for training sophisticated Regulatory RAG models. In a global customs software market projected to grow at over 9% annually, this dataset offers a critical edge for AI vendors seeking to automate compliance, especially with the upcoming HS 2028 update creating new demand for intelligent solutions.
See dimension details ↓- Dataset Specificity90
dominant 'regulatory', sector mobility, 3 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity58
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Regulatory RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI buyer demand is strong, driven by the need for proprietary data to power solutions in a customs and trade compliance market growing at a robust 9.1% CAGR.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility14
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility33
medium difficulty, subsidiary of Customs Support Group
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 evidence types, 4 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
ownership=mixed, licensing=gdpr_sensitive
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of Customs Support Group
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 data-appetite signals (2 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 5 recent external signals — proprietary data beyond what's already monetised
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit92
✓ good target — Porath is an ideal target; it is a long-established customs brokerage firm whose core business is providing logistics and customs clearance services, which generates a valuable, proprietary dataset of regulatory and shipping records as a by-product that appears to be unmonetized. Issues: The company was acquired by the larger Customs Support Group in 2022, which could complicate negotiations or mean data is now being aggregated at the group leve; The parent group, Customs Support, has over 1700 employees, so Porath itself may no longer operate as a fully independent SME. [4]
- Deep Qualification30
⚠ needs review — While the target possesses a perfectly coherent dataset, it is customer-owned and contractually restricted, making negotiation for third-party AI training rights exceptionally difficult as it would require consent from each of their 60,000+ clients. [data is owned by the company's customers; licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Public datasets
This evidence indicates the holder's deep familiarity with foundational public datasets in international trade, proving their awareness of critical market shifts like the upcoming HS 2028 update.
Transaction data
The holder processes a significant volume of proprietary transaction data, with over 4 million declarations annually, providing a large-scale, multi-jurisdictional source of ground truth for training and validating compliance models.
Regulatory records
This text demonstrates a layer of embedded regulatory expertise within the data, showing specialized knowledge in customs classification that is invaluable for building AI that can handle complex, industry-specific compliance rules.
Event streams
The holder captures real-time event streams from its operational systems, offering a time-series view of international transactions perfect for developing models that focus on performance management and predictive risk assessment.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Porath Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global customs declaration software market was valued at $2.8 billion in 2025, projected to grow at a 9.1% CAGR (2026-2034) (source: Dataintelo).. Investment score 67.5/100 (confidence 0.56). Recommended action: Data Sharing Agreement.
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Learn before you deal
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