Dataset opportunity
Semios — Sensor Telemetry Dataset Opportunity
Large sensor telemetry dataset held by Semios, usable for Predictive Maintenance and Anomaly Detection.
Score
48
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
62%
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 Smart Agriculture market was estimated at $25.36 billion in 2024, projected to grow at a CAGR of 14.6%.
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
Semios Crop Management Platform (Intelligence derivative)
source ↗
Profile
Dataset profile
Type
Sensor Telemetry Dataset
Modality
Time Series
Sector
other
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Semios holds a proprietary Sensor Telemetry Dataset with over a decade of high-resolution, Time Series data collected from IoT devices on customer farms. This rich dataset includes granular micro-climate, pest, geo-spatial, and equipment maintenance logs, making it exceptionally well-suited for developing and training high-accuracy Predictive Maintenance models for agricultural applications.
The value of this data is underscored by the market it addresses; the global Smart Agriculture market was estimated at $25.36 billion in 2024 and is projected to expand at a 14.6% CAGR. [2] While access requires negotiation due to proprietary sensor networks and data integration complexities from past acquisitions, the unparalleled historical depth and rarity of this iot_data represent a significant asset for AI buyers looking to capitalize on this high-growth sector. ⚠ Diligence (valuable data, access to negotiate): Data is collected via proprietary IoT sensors on customer farms, creating a mix of service-provider and customer ownership.; Significant historical depth (10+ years) of high-resolution micro-climate and pest data.; Company has acquired other entities (Agworld, Altrac) which may complicate data integration but increases the total asset value. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Semios holds a massive, proprietary time-series dataset generated by over 200,000 deployed IoT devices across 1.4 million acres of high-value specialty crops. This unique data is a foundational asset for industrial AI vendors seeking to build and validate next-generation predictive maintenance models for agricultural equipment. In a smart agriculture market growing at nearly 15% annually, this dataset provides the ground truth needed to optimize ag-tech service logistics and capture significant market share.
See dimension details ↓- Dataset Specificity86
dominant 'iot_data', sector other, 4 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity94
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume76
7 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 Value94
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 high, driven by the rapid growth of the Smart Agriculture market which is expanding at a 14.6% CAGR, creating significant opportunities for data-driven predictive maintenance solutions. [2]
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 Strength83
4 evidence types, 7 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 Audit67
⚠ review — The company's core business is selling a 'Precision Agriculture as a Service' platform, which provides data analytics and AI-driven insights, making it a seller of intelligence and not a suitable target. Issues: Core business is selling intelligence: Semios' revenue model is a subscription service for its crop management platform that provides data-driven insights, anal; Product is data/intelligence: The company explicitly describes its product as a 'data analytics platform' and 'Prec
- Deep Qualification80
✓ pass — Semios provides data-driven agricultural services and tools, not raw data, making it a data holder. Data ownership is likely mixed between Semios and its farm customers, and the exact licensing rights are unclear without access to specific contracts. The proposed 'Sensor Telemetry Dataset' is highly
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Pour préserver la qualité de l’eau, Bruno Durand implante du sarrasin et des trèfles avec son colza afin de se passer d’herbicides, en partenariat avec le syndicat d’eau du bassin rennais.”
- “Les biens faisant l’objet d’une attribution préférentielle sont estimés en tenant compte, s’il y a lieu, des charges les grevant.”
- “L’institut de l’élevage vient de publier les résultats du contrôle laitier pour l’année 2025. Dans quinze départements, la moyenne brute par vache dépasse 10 000 litres.”
IoT / sensor data
This is raw time-series telemetry from a network of over 200,000 deployed IoT sensors, providing more than a decade of operational and environmental data ideal for training predictive models.
Maintenance logs
This evidence points to structured logs of field service activities, including equipment installation and maintenance, which are essential for labeling sensor data to train and validate predictive maintenance algorithms.
Geospatial data
This is tabular data detailing the geographic distribution and crop type across more than 1.4 million acres, allowing AI models to be segmented and validated against specific agricultural environments.
Industrial data
This indicates the dataset integrates multiple industrial data streams, including pest, weather, and irrigation inputs, providing a holistic view of farm operations for building sophisticated, multi-variate models.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Over 10 years historical + real-time
Update frequency
Real-time
Delivery
API or S3 bucket (negotiable)
Formats
Time Series, JSON
License
One-time license for internal use, model training, and development. Specific usage restrictions apply and are subject to negotiation.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary, high-volume, real-time sensor telemetry dataset is exceptionally valuable for predictive maintenance in the rapidly growing smart agriculture market. Its rarity and scale, covering over 1.4 million acres, position it at the higher end of exclusive data assets.
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
Semios Sensor Telemetry — a Large sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Smart Agriculture market was estimated at $25.36 billion in 2024, projected to grow at a CAGR of 14.6% (source: Grand View Research). [2]. Investment score 48.0/100 (confidence 0.62). Recommended action: Acquire.
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