Dataset opportunity
Compassgreenfield — Geospatial Dataset Opportunity
Moderate geospatial dataset held by Compassgreenfield, usable for Geo AI and Routing & Forecasting.
Score
60.4
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
42%
Action
Partnership
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 geospatial analytics market size was valued at USD 102.45 billion in 2025, projected to grow at a CAGR of 12.90%.
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.
Profile
Dataset profile
Type
Geospatial Dataset
Modality
Tabular
Sector
other
Volume
Moderate
Freshness
Periodic
Rarity
Medium
Accessibility
Partial
Legal
Owned by the company — clean to license
Buyer persona
Geospatial-AI & mobility-analytics teams
Compassgreenfield holds a valuable Geospatial Dataset in tabular modality, derived from its core business records. This includes detailed site assessments, project timelines, and other geo-referenced business data, likely focused on Canadian land and environmental projects. This raw, location-specific information provides essential ground-truth data for training and validating sophisticated Geo AI models for applications like site selection, environmental impact analysis, and infrastructure planning.
The business value is significant, situated within the global geospatial analytics market, which was valued at USD 102.45 billion in 2025 and is projected to grow at a CAGR of 12.90%. Although access requires direct negotiation with the principals of this small boutique firm, the rarity and specificity of this geo_data, likely from unstructured business_records, make it a high-value asset for AI buyers seeking a competitive edge in real-world predictive modeling. ⚠ Diligence (valuable data, access to negotiate): Small boutique firm, direct contact with principals likely required; Data is likely unstructured (reports, site assessments, project timelines) · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Public evidence confirms Compassgreenfield possesses proprietary tabular data detailing the land acquisition and site feasibility stages of greenfield real estate development. This unique geospatial dataset is a valuable asset for Geo-AI and mobility analytics teams seeking to train predictive models for site selection and market analysis. In a geospatial analytics market projected to grow at a CAGR of 12.90% from a 2025 valuation of USD 102.45 billion, this data offers a distinct competitive advantage for predictive modeling and risk assessment.
See dimension details ↓- Dataset Specificity50
dominant 'geo_data', sector other, 1 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity58
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume46
2 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value64
fit for Geo AI
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is high, driven by the substantial growth of the geospatial analytics market (CAGR 12.90%) and the critical need for unique, real-world data to train advanced Geo AI models.
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 Feasibility44
low difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength50
2 evidence types, 2 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
ownership=company_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 Orientation22
0 data-appetite signals (0 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 Audit75
✓ good target — This is a small, contactable energy project developer whose operational business of building and managing solar and battery storage sites likely generates valuable proprietary operational data (performance, maintenance, sensor readings) as a by-product, which it does not appear to be selling. Issues: The company's primary business is developing and managing energy assets, not a physical good or service that generates data as a pure 'exhaust'.; The prompt's initial description 'Geospatial Dataset Opportunity' is misleading; their business is energy development, though this involves land and thus geospa; They are sophisticated in project development and finance, so they may already have considered data monetization, reducing the 'dormant' data opportunity.
- Deep Qualification80
✓ pass — This is a valid data holder; it develops energy projects and the resulting geospatial data is a by-product, but ownership is likely shared with partners and licensing rights are undetermined.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
business_records
Corporate filings confirm the holder is a real estate development company, which validates the commercial origin and domain expertise behind their specialized data assets.
Geospatial data
Operational evidence shows the company generates proprietary tabular data on land acquisition and site feasibility, offering a rare signal for Geo-AI models focused on predictive site selection and investment analysis.
Marketplace
Dataset details
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
Compassgreenfield Geospatial — a Moderate geospatial dataset (Tabular modality) in the other domain. Primary AI use-case: Geo AI. Market signal: Global geospatial analytics market size was valued at USD 102.45 billion in 2025, projected to grow at a CAGR of 12.90% (source: Fortune Business Insights). Investment score 60.4/100 (confidence 0.42). Recommended action: Partnership.
From the marketplace
Explore live data opportunities
Trumanbrewery — Sensor Telemetry Dataset Opportunity
View opportunity →otherUmitron — Sensor Telemetry Dataset Opportunity
View opportunity →mobilityVrt — Mobility & Geospatial Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- Data licensing, term by term4 min read
- Is Your Data Worth Money?3 min read
- What is a Dataset Worth?3 min read