Dataset opportunity
Geoarm — Event Stream Dataset Opportunity
Large event stream dataset held by Geoarm, usable for Forecasting and Anomaly Detection.
Score
67.6
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
60%
Action
Data Sharing Agreement
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 Security Analytics market size was calculated at $15.97 billion in 2025 and is predicted to grow at a CAGR of 18.10% from 2026 to 2035.
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
Event Stream Dataset
Modality
Time Series
Sector
other
Volume
Large
Freshness
Real-time
Rarity
Medium
Accessibility
Restricted
Legal
Largely customer-owned — GDPR-sensitive (PII review)
Buyer persona
Quant funds & demand-forecasting AI teams
Geoarm holds a valuable Event Stream Dataset derived from its home and business security platforms, structured as a Time Series of IoT signals, event logs, and geospatial data. This rich, granular data is primed for Forecasting applications, enabling the prediction of security incidents, hardware maintenance needs, or user behavior patterns.
The global Security Analytics market was valued at $15.97 billion in 2025 and is projected to grow at a 18.10% CAGR, underscoring the immense demand for this type of intelligence. [6] Despite access complexities—including highly sensitive PII, customer-owned data requiring consent, and fragmentation across third-party hardware—the rarity and predictive accuracy of these real-world security patterns make the dataset a high-value asset for AI buyers seeking a competitive edge in the security market. ⚠ Diligence (valuable data, access to negotiate): Data involves highly sensitive PII and home/business security patterns; Ownership is primarily customer-based, requiring specific consent for secondary use; Data is fragmented across multiple third-party hardware platforms (Alarm.com, Resideo, etc.) · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Geoarm owns a proprietary stream of real-time event data from its network of security and vehicle monitoring systems. This dataset of security alerts and vehicle diagnostics is a valuable asset for quant funds and AI teams building advanced forecasting models. In a security analytics market projected to grow at over 18% annually, this data provides the ground-truth signals needed to predict consumer behavior and operational trends.
See dimension details ↓- Dataset Specificity74
dominant 'event_streams', sector other, 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 Rarity58
proprietary domain data (open lowers rarity)
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume70
6 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 Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
AI buyer demand is driven by the high-growth Security Analytics market, which is expanding at a 18.10% CAGR as companies aggressively seek predictive insights from proprietary security data. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Strength80
4 evidence types, 6 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License0
ownership=customer_owned, licensing=gdpr_sensitive
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 Surplus92
surplus=high — 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 Audit100
✓ good target — Geoarm is an ideal target; it's an SME that sells and monitors DIY security systems, generating a proprietary stream of alarm and sensor events as a by-product of its core operational service, and does not currently sell this data or derived intelligence.
- Deep Qualification90
⚠ needs review — Geoarm is a data holder via its monitoring services, but the data is customer-owned and fragmented across third-party platforms like Alarm.com and Resideo. Its resale is explicitly restricted by its own privacy policy and those of its platform partners, which state they do not sell customer data. [data is owned by the company's customers; licensing restricted]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Downloads / exports
This evidence confirms a user base downloading and installing the company's mobile applications, providing a proxy for customer acquisition and digital engagement.
Event streams
The company generates high-frequency time-series data from real-time security alerts and vehicle diagnostic notifications, a core asset for building predictive event-forecasting models.
IoT / sensor data
Geoarm monitors a wide array of connected IoT assets, from lights to generators, creating a diverse stream of operational data valuable for anomaly detection.
Geospatial data
The dataset contains geolocation data from connected car and fleet tracking services, enabling detailed mobility analysis and logistical optimization.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Geoarm Event Stream — a Large event stream dataset (Time Series modality) in the other domain. Primary AI use-case: Forecasting. Market signal: Global Security Analytics market size was calculated at $15.97 billion in 2025 and is predicted to grow at a CAGR of 18.10% from 2026 to 2035 (source: Precedence Research). [6]. Investment score 67.6/100 (confidence 0.6). Recommended action: Data Sharing Agreement.
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