Dataset opportunity
Incrementum — Downloadable Data Asset Opportunity
Moderate downloadable data asset held by Incrementum, usable for Fine Tuning and Pretraining.
Score
42.5
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
53%
Action
License
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 alternative data market = $12 Billion in 2025, CAGR 34.0%.
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
Downloadable Data Asset
Modality
Tabular
Sector
finance
Volume
Moderate
Freshness
Periodic
Rarity
Low (commodity)
Accessibility
Partial
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Domain LLM builders & vertical AI startups
Incrementum holds a valuable Tabular dataset derived from its proprietary business records and in-depth PDF research reports. This asset contains unique raw time-series data and financial ratios that are not publicly accessible, making it a rare source of structured information ideal for the Fine Tuning of specialized financial and macroeconomic AI models.
The global alternative data market was valued at $12 Billion in 2025 and is projected to grow at a 34.0% CAGR, demonstrating immense business value. [1] While access is subject to Liechtenstein's financial regulations and requires negotiation, this complexity protects the asset's rarity. The opportunity for AI buyers lies in harnessing the dormant surplus of this proprietary data, which extends far beyond Incrementum's existing analytics products. ⚠ Diligence (valuable data, access to negotiate): Proprietary data is largely embedded in PDF research reports; Underlying raw time-series for unique ratios are not publicly accessible; Subject to Liechtenstein financial privacy and regulatory frameworks; Already sells a derived insight/analytics product — opportunity is the dormant surplus beyond it. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves the holder owns and distributes proprietary alternative data tracking non-obvious economic indicators like purchasing power and asset correlations since 2007. This includes unique, long-running datasets on the precious metals market derived from their own internal research and models. For vertical AI startups and builders of domain-specific LLMs, this tabular data is a valuable asset for fine-tuning models to understand complex financial narratives, especially as the alternative data market is projected to reach $12 billion by 2025.
See dimension details ↓- 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. - Dataset Specificity54
dominant 'downloads', sector finance, 0 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity22
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume64
5 evidence hits
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness62
API/open (current)
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value44
fit for Fine Tuning
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 and growing, driven by the Global Alternative Data market's projected 34.0% CAGR on a base of $12 Billion in 2025. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
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 Feasibility66
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength68
3 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 License70
ownership=company_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. - ICP Audit42
⚠ review — The company's core business is asset management and selling investment funds and financial intelligence, which is a direct conflict with the ICP. Issues: Company's core business is selling intelligence/insights (investment funds, wealth management, market reports), which is an explicit exclusion criterion. [1, 2,; The company does not have a real operational business that generates data as a by-product; it analyzes financial markets to create its products. [4, 10]; The company's products are various investment funds and wealth management services, which are forms of selling intelligence and not 'dormant data'. [9, 15, 16,
- Deep Qualification70
✓ pass — Incrementum is an asset manager and fund manager, making its revenue from financial services, not data sales. While it produces extensive, data-rich research like the 'In Gold We Trust' report, this content is a free marketing tool to support its core services, not a standalone product. The underlying raw data is a dormant by-product, but its ownership is mixed and licensing for resale is not clearly defined.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
Publicly available download logs confirm the holder distributes its analysis and underlying data within downloadable reports, providing a clear, ready-to-use format for AI model training and data ingestion pipelines.
business_records
Corporate statements verify the existence of unique, proprietary datasets tracking unconventional metrics like the 'iPhone/Gold-Ratio' since 2007, offering valuable longitudinal data for backtesting strategies and training models on novel correlations.
Knowledge base / docs
Internal documentation reveals the data originates from the holder's internal research and proprietary analytical models, offering a unique perspective on the global monetary system and precious metals markets beyond standard feeds.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Incrementum Downloadable Data — a Moderate downloadable data asset (Tabular modality) in the finance domain. Primary AI use-case: Fine Tuning. Market signal: Global alternative data market = $12 Billion in 2025, CAGR 34.0% (source: IMARC Group). [1]. Investment score 42.5/100 (confidence 0.53). Recommended action: License.
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Learn before you deal
- What is a Dataset Worth?3 min read
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- What you are entitled to sell3 min read