Dataset opportunity
Spedition Pohl — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Spedition Pohl, usable for Regulatory RAG and Compliance Copilots.
Score
77.9
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
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 RegTech market was valued at USD 19.06 billion in 2025 and is projected to reach USD 105.23 billion by 2034, at a CAGR of 20.00%.
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
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — clean to license · PII/regulated
Buyer persona
RegTech & compliance-AI vendors
Spedition Pohl possesses a valuable Regulatory Records Dataset in Text modality, derived from its core logistics operations. This data, originating from Transport Management Systems (TMS) and Warehouse Management Systems (WMS), contains industrial transaction records, IoT data, and regulatory proofs ideal for training a Regulatory RAG model to interpret and navigate complex compliance landscapes. [11, 15]
The global RegTech market was valued at USD 19.06 billion in 2025 and is projected to grow at a 20.00% CAGR through 2034, demonstrating immense demand for compliance-related data. [1] While access requires careful negotiation due to data residing in operational systems and potential B2C PII in moving services, the dataset's unique inclusion of structured CO2 and efficiency data (evidenced by Green Logistics certification) makes it a rare and highly sought-after asset for AI buyers focused on the rapidly growing regulatory and sustainability reporting sectors. [1, 14] ⚠ Diligence (valuable data, access to negotiate): Data likely resides in Transport Management Systems (TMS) and Warehouse Management Systems (WMS).; Moving services (Umzug) involve B2C PII, but core logistics data is industrial.; Green Logistics certification suggests structured CO2 and efficiency datasets. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence confirms Spedition Pohl possesses proprietary regulatory documentation, including specific ISO certifications, generated from its certified German logistics operations. This high-rarity text data is a prime asset for RegTech vendors building AI compliance tools, particularly for Regulatory RAG applications. In a RegTech market projected to reach over USD 100 billion by 2034, this dataset provides the ground-truth needed to train models on complex, real-world logistics and environmental standards.
See dimension details ↓- Legal Accessibility16
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
low difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Dataset Specificity100
dominant 'regulatory', sector mobility, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
proprietary domain data
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 Value94
fit for Regulatory RAG
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is exceptionally high, driven by the urgent need for automated compliance solutions in a complex regulatory environment, reflected by the RegTech market's projected 20.00% CAGR. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - 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 License92
ownership=company_owned, licensing=clean
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 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 — 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 — Spedition Pohl is an ideal target; it's a contactable, family-owned German SME in logistics whose core business is transport and warehousing, not selling the valuable operational and regulatory data it generates as a by-product.
- Deep Qualification80
⚠ needs review — Spedition Pohl is a logistics service provider, making it a data holder, but the data legally belongs to its clients under the German Freight Forwarders' Standard Terms (ADSp), and its privacy policy restricts data use to service provision. [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.
Transaction data
This evidence indicates the holder possesses tabular data detailing its certified logistics services, valuable for auditing supply chain transactions and verifying operational compliance.
IoT / sensor data
The company generates time-series data from its networked logistics solutions, offering insights into real-time supply chain movements and asset tracking.
Industrial data
This points to time-series data focused on goods flow optimization, which is crucial for modeling process efficiency and identifying operational bottlenecks.
Regulatory records
This text-based evidence directly confirms the existence of proprietary regulatory documents, such as ISO certifications, which are essential ground-truth for training and validating AI compliance models.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Spedition Pohl Regulatory Records — a Moderate regulatory records dataset (Text modality) in the mobility domain. Primary AI use-case: Regulatory RAG. Market signal: Global RegTech market was valued at USD 19.06 billion in 2025 and is projected to reach USD 105.23 billion by 2034, at a CAGR of 20.00% (source: Fortune Business Insights). [1]. Investment score 77.9/100 (confidence 0.56). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Espaceglobalfreight — 法规记录数据集机会
View opportunity →出行Groupelml — 交易数据集机会
View opportunity →出行Kahmen Transcargo — 维护日志数据集机会
View opportunity →