Dataset opportunity
Ecosulis — Public Procurement Dataset Opportunity
Large public procurement dataset held by Ecosulis, usable for Tender Intelligence and Document Intelligence.
Score
82.7
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
84%
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 AI in procurement market = USD 4.25 billion in 2026, CAGR 28.00% (source: Precedence Research)
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📝Published article
Ecosulis-led panel discussion on 'Scaling Rewilding with AI'.
source ↗ - 🧑💻Hiring a data role
Junior Rewilding Data Engineer role advertised by CreditNature (Ecosulis investment).
source ↗ - 📦Data product
Development of CreditNature platform with a data engine and credit calculators.
source ↗ - ✨Signal
Proprietary 'Biodiversity Plus Calculator' and use of Defra (Habitat) Metric.
source ↗
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
other
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — clean to license · PII/regulated
Buyer persona
GovTech & procurement-intelligence vendors
Ecosulis possesses a Public Procurement Dataset in Text modality, enriched with various data types including data_catalog, downloads, geo_data, industrial_data, iot_data, knowledge_base, procurement, and ugc. This comprehensive dataset is highly valuable for Tender Intelligence applications, enabling AI buyers to gain strategic insights into public sector opportunities, automate document analysis, and understand market trends.
The AI in procurement market, directly supporting Tender Intelligence, is projected to grow significantly from USD 4.25 billion in 2026 to approximately USD 39.20 billion by 2035, at a CAGR of 28.00%. This substantial growth underscores the immense business value of such data, as AI-powered solutions enhance decision-making and optimize costs. Despite potential access complexity due to Ecosulis's employee-owned structure, client-specific usage restrictions, and B Corp mission, the strategic advantage offered by this data for competitive bidding and market analysis makes negotiation worthwhile. ⚠ Diligence (valuable data, access to negotiate): Employee-owned structure may require specific engagement strategies.; Data collected on client-specific project sites might have usage restrictions tied to client agreements.; B Corp status and 'profit for purpose' mission may influence data sharing terms. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
- Dataset Specificity86
dominant 'procurement', sector other, 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 Rarity70
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume82
8 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 Demand90
The AI in procurement market is projected to grow at a Compound Annual Growth Rate (CAGR) of 28.00% from 2026 to 2035, indicating a high and rapidly increasing demand for data to power AI solutions in this sector.
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility44
open/API access
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility48
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
8 evidence types, 8 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 Independence90
independent
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation100
4 data-appetite signals (4 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - ICP Audit75
⚠ review — Ecosulis is an environmental consultancy that generates proprietary ecological data from its operations but is developing a platform to sell intelligence in the form of carbon, biodiversity, and rewilding credits, making them an unsuitable target for d-nvest. Issues: Ecosulis's development of the 'CreditNature' platform aims to quantify and enable the trading of carbon, biodiversity, and rewilding credits, which constitutes
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Market read
The evidence strongly indicates Ecosulis possesses a rich, proprietary collection of ecological and environmental project data, underpinned by direct experience in public procurement. This unique combination positions their dataset as a critical resource for GovTech and procurement-intelligence vendors seeking to understand and bid on complex environmental tenders. In a rapidly expanding AI in procurement market, projected to reach USD 4.25 billion by 2026, this data offers unparalleled tender intelligence for sustainability-focused contracts, providing a competitive edge now.
Downloads / exports
Tabular · 1 hitThis refers to publicly available brochures or reports, providing insights into Ecosulis's service offerings and operational scope, valuable for understanding their typical tender categories and project types.
Procurement / tenders
Text · 1 hitThis direct client testimonial confirms Ecosulis's active and successful participation in public tendering processes, validating their experience in securing and delivering complex projects, which is invaluable for procurement intelligence platforms.
IoT / sensor data
Time Series · 1 hitEvidence of Ecosulis's use of UAV drones and IoT for large-scale biodiversity monitoring demonstrates their capability to collect and manage real-time environmental data, highly relevant for assessing project impact and compliance.
Geospatial data
Tabular · 1 hitThis highlights Ecosulis's global expertise in GIS mapping and ecological consulting, indicating access to and proficiency with geospatial data crucial for land management, habitat restoration, and environmental planning.
Industrial data
Time Series · 1 hitThis points to Ecosulis's proprietary tools for biodiversity assessment and measurement, showcasing their structured approach to quantifying environmental impact, which is critical for ESG reporting and sustainability metrics.
Knowledge base / docs
Text · 1 hitThe mention of their purpose-built Biodiversity Plus Calculator confirms Ecosulis's internal analytical capabilities and structured approach to tracking environmental metrics over time, valuable for AI models focused on ecological forecasting.
Data catalog / marketplace
Multimodal · 1 hitThis describes the CreditNature platform as a data engine integrating various feeds for ecological credit calculation and land management decisions, demonstrating Ecosulis's ability to aggregate and process diverse environmental data for nature-based solutions.
User-generated content
Text · 1 hitEvidence of using user-generated data to quantify public interest in endangered species and landscapes indicates a unique source of social sentiment and public engagement data relevant for environmental policy and project planning.
Deal room
Deal Room — Ecosulis — Geospatial Dataset Opportunity
Geospatial Dataset (Tabular, other). Best AI use-case: Geo AI. Target buyers: Geospatial-AI & mobility-analytics teams. Market: Global Geospatial Analytics Market = $102.74 billion in 2024, CAGR 14.1% (2024-2032). Rarity: Medium; accessibility: Open / API. Key risk: Mixed ownership — clean to license. Recommended deal structure: License. Investment score 76.3/100.
Buyer persona
GovTech & procurement-intelligence vendors
Market
Global AI in procurement market = USD 4.25 billion in 2026, CAGR 28.00% (source: Precedence Research)
Risk
Owned by the company — clean to license · PII/regulated
Action
Acquire
Coverage
Scanned sources
Deliverable
Premium dataset report
Ecosulis Geospatial — a Large geospatial dataset (Tabular modality) in the other domain. Primary AI use-case: Geo AI. Market signal: Global Geospatial Analytics Market = $102.74 billion in 2024, CAGR 14.1% (2024-2032). Investment score 76.3/100 (confidence 0.65). Recommended action: License.