Dataset opportunity
Smallrobotcompany — Sensor Telemetry Dataset Opportunity
Moderate sensor telemetry dataset held by Smallrobotcompany, usable for Predictive Maintenance and Anomaly Detection.
Score
30
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
Partnership (group-level)
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 predictive maintenance for farm equipment market = $1.8B in 2025, CAGR 13.4%.
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.
Profile
Dataset profile
Type
Sensor Telemetry Dataset
Modality
Time Series
Sector
other
Volume
Moderate
Freshness
Real-time
Rarity
Medium
Accessibility
Partial
Legal
Owned by the company — licensing rights to clarify
Buyer persona
Industrial AI & maintenance-optimization vendors
Small Robot Company holds a valuable Sensor Telemetry Dataset composed of Time Series data from its fleet of agricultural robots. This collection of IoT_data provides granular, real-world operational evidence from field machinery, making it an ideal asset for developing and training sophisticated Predictive Maintenance algorithms designed to anticipate component failures before they occur.
The business value is significant, as the global market for Predictive Maintenance in farm equipment was $1.8 billion in 2025 and is projected to grow at a 13.4% CAGR. [6] This dataset's rarity and direct applicability to a high-growth sector offer a distinct competitive advantage. While access requires legal verification of data ownership following a 2024 asset sale and navigating a current operational reboot, the uniqueness of the data for this market makes the investment in due diligence worthwhile. ⚠ Diligence (valuable data, access to negotiate): Assets recently acquired by Small Robot Technology Ltd following administration of the original entity.; Data ownership rights transitioned during the 2024 asset sale and require legal verification.; Operational scale is currently in a reboot phase, affecting immediate data accessibility. · corporate: acquired of Small Robot Technology Ltd.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Smallrobotcompany owns a unique, multimodal dataset linking autonomous robot telemetry to granular, per-plant agricultural outcomes. This is a rare asset for industrial AI vendors developing predictive maintenance models for the rapidly growing agricultural robotics sector. With the global market for farm equipment predictive maintenance projected to hit $1.8B by 2025, this dataset offers a direct path to training and validating algorithms that can capture a significant share of this high-growth market.
See dimension details ↓- Dataset Specificity62
dominant 'iot_data', sector other, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity46
proprietary domain data (open lowers rarity)
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 Value74
fit for Predictive Maintenance
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand80
AI buyer demand is strong, driven by the high-growth predictive maintenance market for farm equipment, which is expanding at a 13.4% CAGR. [6]
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 Feasibility35
high difficulty, acquired of Small Robot Technology Ltd
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 License70
ownership=company_owned, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence45
acquired of Small Robot Technology Ltd
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation56
2 data-appetite signals (2 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 Audit0
⚠ review — The target company, Small Robot Company, ceased trading and entered liquidation in February 2024, making it a defunct entity. Issues: Small Robot Company went into administration/liquidation in February 2024. [2, 5, 6, 7, 8]; The company ceased trading and all employees were made redundant. [7]; Administrators (Kroll) were appointed to sell the company's assets and intellectual property. [6, 7, 8]; The company's website now redirects to AgXeed, a separate company in the autonomous farming space, but there is no evidence of a direct acquisition of the entir
- Deep Qualification50
✓ pass — The target operated a 'Farming as a Service' model, generating a highly coherent and valuable sensor telemetry dataset, but the original company is in liquidation as of February 2024, making data ownership and access entirely dependent on the unknown terms of the asset sale by administrators.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
The company possesses millions of high-resolution images of individual plants, crucial for training computer vision models to identify crop health and weed presence under diverse soil types and growth conditions.
IoT / sensor data
This time-series data captures the real-world operational telemetry from autonomous robots, providing the essential inputs for building predictive maintenance algorithms that can anticipate component failure and optimize performance.
Data catalog / marketplace
A centralized and structured multimodal database provides the critical 'ground truth,' linking sensor inputs to per-plant intelligence and yield outcomes, enabling the validation of sophisticated optimization models.
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
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Deliverable
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Smallrobotcompany Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global predictive maintenance for farm equipment market = $1.8B in 2025, CAGR 13.4% (source: Dataintelo). Investment score 30.0/100 (confidence 0.49). Recommended action: Partnership (group-level).
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