Dataset opportunity
Clearit — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Clearit, usable for Regulatory RAG and Compliance Copilots.
Score
68.5
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
58%
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 RegTech market size was valued at $19.21 billion in 2025, projected to grow at a CAGR of 16.10% between 2026 and 2035. [2]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-15
Your supply chain has a visibility problem. Your executives have a decision problem.
supplychaindive.com ↗ - 📰press2026-06-12
Mid-term money-saver: DOT wants to pre-screen containers to speed supply chain
freightwaves.com ↗ - 📰press2026-06-12
RXO’s debt rating at S&P holds; so does its negative outlook
freightwaves.com ↗ - 📰press2026-06-12
Kenvue Canada saves big on diesel costs with Fuel Transport EV pilot
supplychaindive.com ↗ - 📰press2026-06-12
Like trucking and railroads, shipping struggles in fight for talent, aging workforce
freightwaves.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.
- ✨Signal
Provides PARS Tracker for real-time shipment status monitoring
source ↗
Profile
Dataset profile
Type
Regulatory Records Dataset
Modality
Text
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
RegTech & compliance-AI vendors
Clearit holds a comprehensive Regulatory Records Dataset in Text modality, derived from its Canadian customs brokerage operations. This data, including event streams, regulatory filings, and transaction data, provides a rich, real-world knowledge base of Canadian customs procedures, making it exceptionally well-suited for training and grounding a Regulatory RAG system to automate compliance queries and document generation. [17, 19]
This type of data underpins the global RegTech market, which was valued at approximately $19.21 billion in 2025 and is projected to grow at a CAGR of 16.10%. [2] While access is complex due to sensitive commercial PII and strict CBSA regulatory frameworks, this inherent difficulty makes the data exceptionally rare and valuable. For a buyer capable of navigating these constraints via aggregated or anonymized approaches, this dataset represents a unique opportunity to build a defensible AI solution in a rapidly growing market where accuracy and auditability are paramount. [18, 19] ⚠ Diligence (valuable data, access to negotiate): Data contains sensitive commercial PII (importer/exporter identities and financial values); Subject to strict CBSA (Canada Border Services Agency) confidentiality and CARM regulatory frameworks; Ownership of specific transaction records is shared with clients, requiring aggregated or anonymized approaches · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves the holder possesses a proprietary dataset of applied Canadian customs regulations, including expert interpretations, transactional documents, and complex goods classification logic. This high-rarity data is a critical asset for RegTech and compliance-AI vendors seeking to build or enhance Regulatory RAG systems. In a global RegTech market projected to grow at over 16% annually, this dataset offers a distinct competitive advantage by providing the real-world, ground-truth data needed to automate complex cross-border trade compliance.
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 Rarity82
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 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 Demand82
The AI in mobility market is projected to grow at a robust CAGR of 21.8% from 2025 to 2033, and the Retrieval-Augmented Generation (RAG) market is exploding with a CAGR of approximately 49.1%, indicating very high demand for specialized dat
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 Strength77
4 evidence types, 5 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 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, 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 Audit75
⚠ review — This is a bad target because its core business is providing a digital customs brokerage service, which includes a white-label solution and a full API for integration, indicating they are already a data/intelligence-as-a-service provider. Issues: Company's core product is a digital service that leverages data, not a physical operational business.; Offers a 'Navigator API Service' for integration with other platforms, which is a form of data/intelligence-as-a-service. [10, 12]; Provides
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
This indicates a curated knowledge base reflecting expert interpretation of government policies and documentation workflows, providing invaluable training data for AI models that need to understand regulatory nuance.
Transaction data
The holder processes structured transactional data from customs invoices and free trade agreements, offering a rich source of real-world examples for validating compliance AI.
Regulatory records
This points to a proprietary dataset of regulatory logic, including custom duty rates and complex goods classifications, which is essential for building automated tariff management tools.
Event streams
The company captures real-time event streams tracking shipment statuses and customs releases, providing critical outcome data to measure the performance of predictive compliance models.
Coverage
Scanned sources
Deliverable
Premium dataset report
Clearit Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market size was valued at $19.21 billion in 2025, projected to grow at a CAGR of 16.10% between 2026 and 2035. [2]. Investment score 68.5/100 (confidence 0.58). Recommended action: Data Sharing Agreement.