Dataset opportunity
Umitron — Sensor Telemetry Dataset Opportunity
Moderate sensor telemetry dataset held by Umitron, usable for Predictive Maintenance and Anomaly Detection.
Score
47.5
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
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 size (indicative estimate)
Global Precision Aquaculture market = $614.23 Million in 2023, CAGR 15.1%.
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.
- 📦Data product
UMITRON PULSE: Global satellite-based ocean monitoring map
source ↗
Profile
Dataset profile
Type
Sensor Telemetry Dataset
Modality
Time Series
Sector
other
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Umitron possesses a valuable Sensor Telemetry Dataset composed of Time Series data from its proprietary IoT solutions deployed in aquaculture farms. This data includes `iot_data` from equipment, `image_collection` for monitoring, and `geo_data`, which collectively provide a comprehensive operational view ideal for developing Predictive Maintenance models to forecast equipment failure and optimize maintenance schedules.
The global Precision Aquaculture market was valued at $614.23 Million in 2023 and is projected to grow at a CAGR of 15.1%. [5] Despite access complexities like shared data ownership with farm operators and the need for specific hardware-software integration, the rarity and depth of this operational data in a rapidly expanding, high-tech market make it extremely valuable for AI buyers aiming to create advanced, efficient aquaculture management solutions. ⚠ Diligence (valuable data, access to negotiate): Data ownership likely shared with farm operators via IoT service contracts; Significant hardware-software integration (IoT) makes data extraction technically specific; Primary operations in Japan and SE Asia may require local partnership for data licensing · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Umitron owns a unique, proprietary dataset combining real-time IoT telemetry, underwater imagery, and satellite-based environmental data from global aquaculture operations. This multi-modal data is highly valuable for industrial AI vendors building predictive maintenance and optimization models for the rapidly growing precision aquaculture market. It provides direct, ground-truth signals on critical operational drivers like fish appetite, growth, and water quality, enabling powerful new efficiencies.
See dimension details ↓- Dataset Specificity74
dominant 'iot_data', 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 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 Predictive Maintenance
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 exceptionally high, driven by the need for data-driven efficiency and sustainability in the fast-growing precision aquaculture market, which is expanding at a 15.1% CAGR. [5]
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 — 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 Audit58
⚠ review — Umitron's core business is selling AI-powered hardware, data platforms, and analytics as a service to the aquaculture industry, making it a technology vendor, not a data holder with dormant operational data. Issues: Company's core business is selling AI software and intelligence, which is an explicit exclusion criterion.; The company is a technology vendor to aquaculture farms, not an operator with its own primary operational data.; The company's principal activity is officially registered as 'DATA ANALYTICS, PROCESSING AND RELATED ACTIVITIES N.E.C.' [12], confirming its focus on selling da; Products like 'Umitron Pulse' are data services using satellite remote sensing, and 'Umitron Cell' is an AI-powered smart feeder sold to farmers. [1, 9]
- Deep Qualification70
✓ pass — Umitron is a data_holder with a highly coherent dataset for the opportunity, but data ownership and licensing rights are unknown due to a lack of accessible, specific terms of service for their operational products.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
The holder possesses proprietary time-series data from its solar-powered IoT feeders, capturing real-time signals on fish appetite and feeding behavior critical for optimizing operational efficiency and equipment maintenance.
Image collection
This collection of high-resolution underwater imagery provides direct visual evidence of fish growth and size distribution, enabling AI models to automate biomass estimation and health monitoring.
Geospatial data
Umitron provides tabular satellite data monitoring key environmental indicators like temperature and oxygen, offering a macro-level view of water quality essential for site-level risk management models.
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Umitron Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Precision Aquaculture market = $614.23 Million in 2023, CAGR 15.1% (source: The Insight Partners). Investment score 47.5/100 (confidence 0.49). Recommended action: Acquire.
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Learn before you deal
- What is a Dataset Worth?3 min read
- How a Data Transaction Works3 min read
- What you are entitled to sell3 min read