Dataset opportunity
Proximafusion — Industrial Operations Dataset Opportunity
Moderate industrial operations dataset held by Proximafusion, usable for Industrial Monitoring and Forecasting.
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
49%
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
Global Industrial IoT Market = $119.4B in 2024, CAGR 8.1% (source: MarketsandMarkets)
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.
- 🧑💻Hiring a data role
Recruiting Intern for Enterprise AI Team and Senior Software Engineer for Dev Platform
source ↗
Profile
Dataset profile
Type
Industrial Operations Dataset
Modality
Time Series
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Industrial AI integrators
Proximafusion holds a unique Time Series dataset derived from its advanced stellarator fusion device operations. This collection of `industrial_data` and `iot_data` captures complex physical phenomena, including plasma physics and magnetohydrodynamics, making it exceptionally well-suited for sophisticated Industrial Monitoring use cases like predictive maintenance and performance optimization of high-value energy assets.
The global Industrial IoT market was valued at USD 119.4 billion in 2024 and is projected to grow at a 8.1% CAGR through 2029, underscoring the immense demand for such data. While access is complex due to the data's IP-sensitive nature, its connection to the Max Planck Institute for Plasma Physics partnership, and potential security restrictions, its rarity and direct applicability to pioneering strategic energy technology make it a highly valuable asset for leading AI developers. ⚠ Diligence (valuable data, access to negotiate): Data is highly technical (plasma physics, magnetohydrodynamics) and IP-sensitive.; Significant portion of experimental data is tied to the Max Planck Institute for Plasma Physics (IPP) partnership.; Strategic energy technology may be subject to national or European export/security restrictions. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Proximafusion owns a proprietary and high-rarity industrial dataset, uniquely combining simulation-generated time-series data with telemetry from real-world performance in a record-breaking fusion experiment. This is a critical asset for Industrial AI integrators developing sophisticated industrial monitoring and predictive maintenance models. In a global Industrial IoT market projected to exceed $119B in 2024, this dataset offers a distinct competitive advantage by enabling AI that can operate in the most complex and demanding physical environments.
See dimension details ↓- Dataset Specificity78
dominant 'industrial_data', sector industrial, 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 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 Value74
fit for Industrial Monitoring
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
AI buyer demand is strong, driven by the Industrial IoT market's significant growth (CAGR of 8.1%) for advanced monitoring and optimization solutions.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility14
high difficulty, independent
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 License70
ownership=owned, 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 — Excellent target: Proximafusion is a deep-tech SME developing fusion power plants, a real operational business whose massive, niche simulation and sensor data is a by-product of its core mission to sell energy, not data or AI. Issues: The company heavily utilizes AI and simulation software as a core part of its R&D process, but it is a tool for internal development ('simulation-driven approac
- Deep Qualification90
⚠ needs review — Proxima Fusion is developing fusion power plants and holds valuable R&D data as a byproduct, but does not sell it. Data ownership is complex and rights are unclear due to its origin as a spin-off from the public Max Planck Institute, and licensing is likely restricted by its strategic nature. [licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
The holder operates a simulation pipeline purpose-built to generate time-series data specifically for training industrial AI models, reducing development risk and cost for buyers.
IoT / sensor data
This dataset contains unique time-series data capturing the real-world performance and steady-state operation of a groundbreaking industrial experiment, providing invaluable ground truth for model validation.
Knowledge base / docs
The data is not a raw feed but is curated through a framework for directed data collection, structured by explicit data models that accelerate AI development and feature engineering.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for internal use in industrial monitoring and predictive maintenance applications. Restrictions on redistribution and commercialization of raw data apply.
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 and proprietary nature, combined with strong demand from the rapidly growing Industrial IoT sector for advanced monitoring and predictive maintenance, drives its significant valuation. The unique fusion of simulation and real-world operational data from a stellarator device offers unparalleled insights.
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
Proximafusion Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial Analytics market was valued at USD 35.2 billion in 2022, with a projected CAGR of over 12% (2023-2032) (source: Global Market Insights). Investment score 47.5/100 (confidence 0.44). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Harrymajormachine — Maintenance Logs Dataset Opportunity
View opportunity →industrialCore Logistics — Industrial Operations Dataset Opportunity
View opportunity →industrialGlobalsourcingservices — Public Procurement Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- What is a Dataset Worth?3 min read
- How a Data Transaction Works3 min read
- What you are entitled to sell3 min read