Dataset opportunity
Battri — Industrial Operations Dataset Opportunity
Large industrial operations dataset held by Battri, usable for Industrial Monitoring and Forecasting.
Score
76.4
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
Partnership (group-level)
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 AI market = $43.6B in 2024, CAGR 23% to $153.9B by 2030 (source: IoT Analytics)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-04
EnergyX, Wildcat Discovery Technologies team up to build ‘battery mecca’ in Texas
mining.com ↗ - 📰press2026-06-04
Resource nationalism redraws critical minerals playbook
mining.com ↗ - 📰press2026-06-04
Surge Battery raises $21M for Nevada lithium project
mining.com ↗ - 📰press2026-06-03
Deep Sea Minerals gets NOAA compliance
mining.com ↗ - 📰press2026-06-03
Stardust Power joins Department of Energy-backed lithium extraction program
mining.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.
- 📦Data product
Issuance of Certificate of Recycling and Efficiency Reports
source ↗
Profile
Dataset profile
Type
Industrial Operations Dataset
Modality
Time Series
Sector
industrial
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Owned by the company — clean to license
Buyer persona
Industrial AI integrators
Battri possesses a rich Industrial Operations Dataset of Time Series modality, encompassing data volume, event streams, industrial data, and regulatory information. This comprehensive collection of sensor data from industrial equipment is crucial for Industrial Monitoring applications, enabling the detection of anomalies, optimization of processes, and proactive identification of potential equipment failures. The granular, time-stamped nature of this data allows for detailed analysis of operational performance and condition over time, which is fundamental for AI-driven insights.
The business value of such data is substantial, fueling the rapidly expanding Industrial AI market, which was valued at $43.6 billion in 2024, growing at 23% CAGR to $153.9 billion by 2030. This growth is largely driven by the demand for predictive maintenance solutions, which can reduce unplanned downtime by 20% to 50%. Despite the access complexity due to Battri being a subsidiary of KOSCO, requiring coordination for data access, the rarity and valuable nature of high-quality industrial time series data for achieving significant operational efficiencies and cost reductions make it highly sought after by AI buyers. ⚠ Diligence (valuable data, access to negotiate): Subsidiary of KOSCO, requiring coordination with parent company for data access. · corporate: subsidiary of KOSCO.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This opportunity presents access to Battri's proprietary Time Series data derived from industrial battery recycling operations, a high-rarity asset critical for the rapidly expanding Global Industrial AI market, projected to reach $153.9B by 2030. This unique dataset offers Industrial AI integrators a foundational resource for advanced Industrial Monitoring, enabling predictive maintenance, process optimization, and enhanced ESG compliance in a sector vital for the circular economy. The evidence confirms the existence of rich operational and event-based data, making it highly valuable for developing robust AI solutions that address current industrial challenges.
See dimension details ↓- Dataset Specificity90
dominant 'industrial_data', sector industrial, 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 Volume80
5 evidence hits, explicit data-volume mention
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 Industrial Monitoring
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
The Industrial AI Market, which drives demand for such datasets, is projected to grow at a Compound Annual Growth Rate (CAGR) of 46.02% from 2025 to 2035, indicating very high and rapidly increasing buyer demand for specialized industrial o
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
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 KOSCO
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 License92
ownership=owned, licensing=clean
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of KOSCO
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 Audit92
✓ good target — Battri is a French lithium-ion battery recycling company that generates valuable operational data as a by-product of its core business, which is not currently sold as a separate data product, making it a good target for a data marketplace. Issues: Battri was recently acquired by KOSCO (70% stake), which might influence its future data strategy, although current management retains operational control for t
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
This directly confirms the generation of Time Series data from the core mechanical recycling processes, including battery diagnostics and material separation, which is invaluable for process optimization and quality control in industrial AI applications.
Data-volume signal
This evidence type details Battri's significant and expanding operational capacity in battery recycling, indicating a substantial and growing source of data for resource planning and supply chain analytics within the industrial sector.
Event streams
This highlights the availability of real-time tracking and ESG data related to battery recycling events, providing crucial operational transparency and sustainability insights for AI models focused on compliance and reporting.
Regulatory records
This evidence type confirms the generation of structured compliance data through Certificates of Recycling and Efficiency Reports, offering essential inputs for regulatory AI and auditing applications in the industrial domain.
Coverage
Scanned sources
Deliverable
Premium dataset report
Battri Industrial Operations — a Large industrial operations dataset (Time Series modality) in the industrial domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Industrial AI market = $43.6B in 2024, CAGR 23% to $153.9B by 2030 (source: IoT Analytics). Investment score 76.4/100 (confidence 0.58). Recommended action: Partnership (group-level).