Dataset opportunity
Fmi — Public Procurement Dataset Opportunity
Moderate public procurement dataset held by Fmi, usable for Tender Intelligence and Document Intelligence.
Score
71.1
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
49%
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 $4.27 Billion in 2024, CAGR 23.50% (source: Data Bridge Market Research). [3]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-23
US imposes tariffs over forced labor before global duty ends
supplychaindive.com ↗ - 📰press2026-07-23
How a St. Louis-based hub aims to fill the manufacturing workforce gap
manufacturingdive.com ↗ - 📰press2026-07-23
Despite steep decline in cyberattacks targeting manufacturers, threats remain high: report
manufacturingdive.com ↗ - 📰press2026-07-22
Trump restricts supply chain waivers for US defense industrial base
manufacturingdive.com ↗ - 📰press2026-07-22
AI-assisted training: How Google Cloud is addressing workforce challenges
manufacturingdive.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.
- 📝Published article
Focus on Smart Supply Chain Management and full process control
source ↗
Profile
Dataset profile
Type
Public Procurement Dataset
Modality
Text
Sector
industrial
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
GovTech & procurement-intelligence vendors
FMI holds a Public Procurement Dataset in Text modality, containing detailed `industrial_data`, `iot_data`, and `procurement` records from its manufacturing operations. This information is directly applicable for building a Tender Intelligence use case, enabling an AI buyer to analyze tender specifications, competitor bidding patterns, and pricing strategies within the industrial sector.
The business value is significant, as the global procurement analytics market was valued at $4.27 Billion in 2024, with a projected CAGR of 23.50%. [3] Although data access requires careful negotiation to distinguish client IP (build-to-print designs) from FMI's proprietary operational data like manufacturing process telemetry and precision tolerance logs, the dataset's rarity offers a distinct advantage for training advanced AI models. [3] ⚠ Diligence (valuable data, access to negotiate): Build-to-print model implies that specific product designs belong to OEM clients.; Proprietary value resides in manufacturing process telemetry, precision tolerance logs, and cleanroom environmental data.; Data access requires distinguishing between client IP and FMI's operational process data. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Fmi holds proprietary data detailing complex, end-to-end industrial procurement and supply chain operations. The dataset documents everything from forecasting and logistics to the manufacturing of high-tolerance precision parts. For GovTech and procurement-intelligence vendors, this is a rare opportunity to train advanced Tender Intelligence models, unlocking a significant competitive advantage in a procurement analytics market growing at over 23% annually. This unique data enables a deeper understanding of industrial tenders, from initial need to final qualification and delivery.
See dimension details ↓- Dataset Specificity90
dominant 'procurement', 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 Volume52
3 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 Value84
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
AI buyer demand is very high, driven by the rapid growth of the procurement analytics market, which is expanding at a CAGR of 23.50%. [3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Strength62
3 evidence types, 3 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
ownership=mixed, 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. - 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 — This is a good target as it's a high-tech manufacturer whose operational data (production, supply chain) is a by-product, not its core product, but the initial data asset description was completely wrong. Issues: The sourced description 'Public Procurement Dataset Opportunity' is incorrect; the company's actual business is high-tech 'build-to-print' manufacturing of prec; The company has 250-400+ employees, placing it on the upper edge of or just beyond the typical SME definition (<250 employees). [2, 9]
- Deep Qualification90
⚠ needs review — The opportunity is based on a flawed premise; FMI is a private B2B manufacturer holding valuable but highly restricted operational and client IP data, not a 'Public Procurement Dataset', making the proposed 'Tender Intelligence' use case misaligned with their actual business. [dataset_type implausible vs real activity: FMI is a 'build-to-print' B2B manufacturer for private sector OEMs in the semiconductor, analytical, and medical markets, not an entity involved in public sector procurement. [11, 12]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This evidence points to time-series data from the production floor, detailing the assembly, testing, and qualification of mechatronic modules, which is valuable for analyzing manufacturing efficiency.
Procurement / tenders
This core textual evidence documents end-to-end supply chain management processes, providing the primary source material for training Tender Intelligence models on forecasting and logistics.
Industrial data
This time-series data demonstrates deep expertise in high-precision manufacturing, providing crucial context on technical specifications and quality control for components with tight tolerances.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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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
Fmi 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 $4.27 Billion in 2024, CAGR 23.50% (source: Data Bridge Market Research). [3]. Investment score 71.1/100 (confidence 0.49). Recommended action: Acquire.
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