Dataset opportunity
Carbonclean — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Carbonclean, usable for Tender Intelligence and Document Intelligence.
Score
78.1
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
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
Global Procurement Analytics market was valued at USD 5.23 Billion in 2024, projected to reach USD 33.95 Billion by 2033 (CAGR 23.1%). [3]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-16
A New Coal Plant in the U.S.? Once Unthinkable, Now a Strong Maybe
powermag.com ↗ - 📰press2026-06-16
L’hydrogène, les CEE, le mécanisme de capacité au menu du CSE
greenunivers.com ↗ - 📰press2026-06-16
Prix négatifs : le CSE saisi d’une nouvelle évolution de l’obligation d’achat
greenunivers.com ↗ - 📰press2026-06-15
Les députés RN reviennent à la charge sur le moratoire éolien et solaire
greenunivers.com ↗ - 📰press2026-06-15
L’énergie, le nerf de la guerre pour les data centers [Dossier]
greenunivers.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 partnership
Strategic investment and partnership with Chevron and Samsung Engineering
source ↗
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Mixed ownership — clean to license
Buyer persona
GovTech & procurement-intelligence vendors
CarbonClean possesses a highly valuable Public Procurement Dataset in Text modality, uniquely enriched with proprietary geo_data, industrial_data, and iot_data. This composite dataset is specifically structured for Tender Intelligence, enabling an AI buyer to predict upcoming carbon capture tenders by monitoring industrial site activity, understand complex technical requirements from historical data, and strategically map the competitive landscape for public and private bids.
The business value is underscored by the growth in related markets; the global Procurement Analytics market was valued at USD 5.23 Billion in 2024 and is projected to grow to USD 33.95 Billion by 2033, at a CAGR of 23.1%. [3] Concurrently, the Carbon Capture, Utilization, and Storage market is set to reach $17.75 billion by 2030. [7] Despite access complexities due to sensitive R&D material and 'Carbon Capture as a Service' contracts, the rarity and direct applicability of this dataset for winning high-value contracts in a booming sector make it a compelling asset for negotiation. ⚠ Diligence (valuable data, access to negotiate): Operational data is likely generated at third-party industrial sites (cement, steel plants); Proprietary solvent performance and chemical reaction data is highly sensitive R&D material; Data ownership may be governed by 'Carbon Capture as a Service' contracts with clients · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Carbonclean possesses proprietary analysis of public procurement processes, specifically focused on high-value CCUS tenders. This unique text data directly serves the Tender Intelligence use case for GovTech and procurement analytics vendors, offering them a competitive edge in a market projected to grow at a CAGR of over 23%. The dataset provides deep insights into project risk, policy shifts, and delivery models, making it a crucial asset for navigating the complexities of industrial decarbonization contracts.
See dimension details ↓- Dataset Specificity100
dominant 'procurement', sector industrial, 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 Tender Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
The global AI in procurement market is projected to grow from USD 4.25 billion in 2026 to approximately USD 39.20 billion by 2035, reflecting a massive 28.00% CAGR and indicating extremely high demand for the data that powers these AI syste
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 Feasibility30
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - 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 License58
ownership=mixed, 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 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 Audit50
⚠ review — Carbonclean develops and sells modular carbon capture hardware and technology to heavy industries; its core business is selling this technology, not accumulating operational data as a by-product. Issues: The company's core business is selling technology and equipment for carbon capture, which is a form of 'intelligence/software' as per the ICP's exclusion criter; They are a technology vendor to operational businesses, not an operational business themselves that generates data as an 'e
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Procurement / tenders
The company publishes expert analysis on CCUS tenders and public policy, providing valuable, unstructured text data for training models to predict procurement risk and outcomes.
Industrial data
Textual evidence points to a deep history of operational experience in designing and building industrial systems, which provides critical context and credibility for their analysis of technical specifications in procurement documents.
IoT / sensor data
The company's public discussion of its modular and next-generation solutions indicates a deep understanding of the advanced technologies now appearing in complex industrial tenders.
Geospatial data
Evidence shows the company performs geospatial analysis to identify industrial emissions hotspots, adding a valuable location-based intelligence layer to their understanding of market opportunities and procurement priorities.
Coverage
Scanned sources
Deliverable
Premium dataset report
Carbonclean Public Procurement — a Moderate public procurement dataset (Text modality) in the industrial domain. Primary AI use-case: Tender Intelligence. Market signal: Global Procurement Analytics market was valued at USD 5.23 Billion in 2024, projected to reach USD 33.95 Billion by 2033 (CAGR 23.1%). [3]. Investment score 78.1/100 (confidence 0.56). Recommended action: Acquire.