Dataset opportunity
Smartcustoms — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Smartcustoms, usable for Regulatory RAG and Compliance Copilots.
Score
60.1
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
42%
Action
Acquire
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 size (indicative estimate)
Global trade management software market was valued at USD 2.7 billion in 2025 and is projected to reach USD 9.4 billion by 2036, at a 12.0% CAGR.
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.
- 📣Press / announcement
Rebranded to 'Smart Customs' to emphasize intelligence and technology-driven solutions
source ↗
Profile
Dataset profile
Type
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
RegTech & compliance-AI vendors
Smartcustoms holds a Regulatory Records Dataset comprised of Text modality, containing aggregated regulatory filings and transaction_data from a wide range of importers and exporters. This rich, real-world data is structured for immediate use in a Regulatory RAG system, enabling AI models to accurately interpret and generate responses based on complex, real-world customs and trade compliance documentation.
The global trade management software market was valued at USD 2.7 billion in 2025 and is projected to reach USD 9.4 billion by 2036, exhibiting a CAGR of 12.0%. Despite access complexities due to client data ownership and strict HMRC compliance, the rarity and commercial sensitivity of this dataset—including pricing, suppliers, and trade routes—make it exceptionally valuable for AI buyers seeking a competitive advantage in automating and optimizing global trade operations. ⚠ Diligence (valuable data, access to negotiate): Data is primarily client-owned (importers/exporters) but aggregated and processed by the agency; Subject to strict HMRC and Revenue regulatory compliance and confidentiality; Contains sensitive commercial information including pricing, suppliers, and trade routes · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Smartcustoms holds proprietary, operational knowledge of UK customs procedures and the associated regulatory requirements for imports. The dataset is derived from real-world experience in automated import filings, making it a high-value asset for RegTech and compliance-AI vendors. In a global trade market projected to reach USD 9.4 billion by 2036, this data is essential for building sophisticated Regulatory RAG systems that can navigate complex, post-Brexit trade compliance.
See dimension details ↓- Dataset Specificity78
dominant 'regulatory', sector mobility, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
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 very high, driven by the need for automation and efficiency in the global trade management software market, which is expanding at a significant 12.0% CAGR.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 evidence types, 2 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
ownership=mixed, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high — 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 Audit100
✓ good target — The company is an ideal target as its core business is providing customs clearance services, which generates a valuable proprietary dataset of regulatory and trade records as a by-product that is not currently being sold. [2, 3, 8] Issues: The company structure appears somewhat fragmented, with references to an Irish and UK entity formed in 2020, a rebranding from 'Easy Customs UK' in 2025, and a
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Transaction data
This sample demonstrates the holder processes structured transaction data for automated UK customs filings, proving the regulatory knowledge is grounded in real-world operational experience.
Regulatory records
This text confirms the dataset contains detailed knowledge of customs procedures and licensing, directly enabling AI vendors to train powerful Regulatory RAG models for the compliance market.
Marketplace
Dataset details
Geographic coverage
UK
Time range
Historical and ongoing (exact range not specified)
Update frequency
Periodic
Delivery
API or direct export (inferred)
Formats
Text
License
One-time license for use in Regulatory RAG systems, with potential restrictions on redistribution or resale due to proprietary nature and client data.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's high rarity, proprietary nature, and direct application to the rapidly growing trade management software market (projected to reach USD 9.4 billion by 2036) drive its significant valuation. Demand is strong from RegTech and AI compliance vendors seeking to leverage real-world UK customs data for RAG systems.
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
Smartcustoms Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global trade management software market was valued at USD 2.7 billion in 2025 and is projected to reach USD 9.4 billion by 2036, at a 12.0% CAGR (source: FMI).. Investment score 60.1/100 (confidence 0.42). Recommended action: Acquire.
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