Dataset opportunity
Tame Care — Regulatory Records Dataset Opportunity
Moderate regulatory records dataset held by Tame Care, usable for Regulatory RAG and Compliance Copilots.
Score
65.1
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
49%
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 size (indicative estimate)
Global Regulatory Information Management System (RIMS) Market = $2.41B in 2024, CAGR 10.7%.
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.
- 📦Data product
Sister brand Tame-Test offers data analysis, AI, and machine learning services for production optimization
source ↗
Profile
Dataset profile
Type
Regulatory Records Dataset
Modality
Text
Sector
healthcare
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — GDPR-sensitive (PII review)
Buyer persona
RegTech & compliance-AI vendors
Tame Care holds a specialized Regulatory Records Dataset in Text modality, comprising a rich collection of industrial, IoT, and regulatory data from medical devices. This unique combination of structured and unstructured textual evidence is exceptionally well-suited for developing and fine-tuning a Regulatory RAG (Retrieval-Augmented Generation) system, enabling AI to provide precise, context-aware answers to complex compliance and regulatory inquiries.
The global market for regulatory information management systems, the target for such AI solutions, was valued at USD 2.41 billion in 2024 and is projected to grow at a CAGR of 10.7%. Despite access complexities tied to GDPR, ISO 27001, and shared data ownership, this valuable and rare dataset is a critical asset. It enables the creation of high-demand AI tools for the expanding regulatory market, justifying the negotiation of access for a significant competitive advantage. ⚠ Diligence (valuable data, access to negotiate): Subsidiary of Agôn Electronics group (TRONICO brand); Medical data is subject to strict GDPR and health regulations (ISO 27001); Data ownership for specific devices may be shared with the medical brand owners (clients) · corporate: subsidiary of Agôn Electronics.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence proves Tame Care holds a proprietary dataset of applied regulatory documentation for medical devices, covering the full product lifecycle from manufacturing traceability to post-market data security. This is a high-value asset for RegTech and compliance-AI vendors seeking to power next-generation Regulatory RAG systems. In a rapidly growing $2.41B market for regulatory information management, this unique data provides the raw material to build a defensible AI product that can navigate complex compliance and legal requirements.
See dimension details ↓- Dataset Specificity90
dominant 'regulatory', sector healthcare, 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 Volume52
3 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 high, driven by the significant growth in the regulatory information management market (CAGR of 10.7%) and the critical need for specialized data to power next-generation compliance solutions.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility15
medium difficulty, subsidiary of Agôn Electronics
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 evidence types, 3 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 Agôn Electronics
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 Surplus70
surplus=medium — 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 — The company is a contract designer and manufacturer of medical devices, not a data seller, making its operational and engineering data a valuable, dormant asset. Issues: The initial sourcing description 'Regulatory Records Dataset' is incorrect; the company's core business is the design and manufacturing of medical devices for t; The company is part of a larger industrial group (AGÔN Electronics), which could complicate data ownership discussions.
- Deep Qualification90
⚠ needs review — The target is a contract design and manufacturing organization for medical devices; the regulatory data it generates is a service deliverable owned by its clients, making it unavailable for third-party licensing. [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.
IoT / sensor data
This evidence indicates the holder manages data related to secure patient and device monitoring, proving expertise in the data governance and security compliance required for connected medical devices.
Industrial data
This signal confirms the dataset contains manufacturing lineage information, linking production batches to quality controls and verification against regulatory standards.
Regulatory records
This is direct evidence of the holder creating and managing the core technical documentation and regulatory processes needed to ensure medical device compliance.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Tame Care Regulatory Records — a Moderate regulatory records dataset (Text modality) in the healthcare domain. Primary AI use-case: Regulatory RAG. Market signal: Global Regulatory Information Management System (RIMS) Market = $2.41B in 2024, CAGR 10.7% (source: Market.us). Investment score 65.1/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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