Dataset opportunity
Probot — Industrial Sensor Dataset Opportunity
Large industrial sensor dataset held by Probot, usable for Predictive Maintenance and Anomaly Detection.
Score
45
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
69%
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 Predictive Maintenance market = $13.65 billion in 2025, CAGR 24.30%.
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.
- 🧑💻Hiring a data role
Employs Full Stack Software Developers for robotics and application development
source ↗
Profile
Dataset profile
Type
Industrial Sensor Dataset
Modality
Time Series
Sector
industrial
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Partial
Legal
Mixed ownership — clean to license
Buyer persona
Industrial AI & maintenance-optimization vendors
Probot holds a substantial Industrial Sensor Dataset composed of Time Series data from its custom robotic cells and mobile platforms. This collection includes detailed operational, IoT, and developer-level data, making it a rich source for training Predictive Maintenance models to anticipate equipment failures and optimize maintenance schedules. The data's value is rooted in its real-world origin from diverse industrial applications.
The global Predictive Maintenance market is a key indicator of this data's value, estimated at USD 13.65 billion in 2025 and projected to grow at a CAGR of 24.30%. [6] This significant market size and growth highlight the strong demand for such datasets. [6] While access requires negotiation due to client data ownership, proprietary R&D, and shared IP constraints, the rarity and specificity of this operational data represent a unique opportunity for developing high-performance AI solutions. ⚠ Diligence (valuable data, access to negotiate): Operational data from custom robotic cells may be contractually owned by industrial clients.; R&D data for mobile platforms like 'Dolly' is likely proprietary.; Data from research collaborations (e.g., VTT) may have shared IP constraints. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Probot owns proprietary time-series data generated from its specialized industrial robotics and automation systems. This dataset directly addresses the high-growth predictive maintenance market, which is projected to reach $13.65 billion by 2025. For industrial AI vendors, this rare sensor data is the essential raw material for training algorithms that optimize operations, predict equipment failure, and reduce downtime, making it a timely and strategic asset.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', 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 Volume82
8 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 driven by the rapid growth of the Predictive Maintenance market, which is projected to expand at a 24.30% CAGR, creating a strong need for high-quality industrial sensor data. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
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 Feasibility4
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength95
5 evidence types, 8 hits
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License58
ownership=mixed, licensing=clean
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 Surplus70
surplus=medium, 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 Audit50
⚠ review — This company's core business is selling robotics integration services and custom automation solutions, not operating a business that generates data as a byproduct. Issues: Company's core business is selling services and intelligence (robotics/automation/AI/XR solutions), which is an explicit exclusion criterion.; They are a systems integrator and technology vendor, not a data holder.; The data generated by their systems would be owned by their customers, not by Probot.; The company's
- Deep Qualification80
✓ pass — Probot is a service-centric company that builds custom robotic solutions, not a data seller. The operational data generated is highly plausible as an 'Industrial Sensor Dataset' but ownership is complex, likely residing with clients for custom builds or shared with partners in EU research projects.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “<p>X Square Robots' system combines foundation models, robotics hardware, a data pipeline system, and real-world deployments.</p> <p>The post <a href="https://www.therobotreport.com/x-square-robot-brings-valuation-2-8b-four-consecutive-funding-rounds/">X Square Robot brings its valuation to $2.8B with four consecutive funding rounds</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
- “<figure><div><img src="https://imgproxy.divecdn.com/t8Wa9YjidkCerVvz9WTjZTpRNu3FjUh6pXy4fI-WaAM/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9JTUdfMzc1MmR1cGUuanBn.webp" /></div></figure><p>Executives at Automate discussed the future of robotics, from bipedal prototypes and increased automation demand to growing accessibility for manufacturers of all sizes.</p>”
- “<p>morph launched a physically intelligent soft robotics platform that designs and manufactures what it calls “soft robotic cells.” </p> <p>The post <a href="https://www.therobotreport.com/soft-robotic-cells-from-morph-embed-physical-ai-into-hardware/">Soft, robotic cells from morph embed physical AI into hardware</a> appeared first on <a href="https://www.therobotreport.com">The Robot Report</a>.</p>”
Developer portal
Public-facing technical articles and career stories confirm Probot's in-house software development and robotics expertise, signaling a mature and well-documented data-generation environment.
IoT / sensor data
References to internal R&D in IoT solutions and trajectory analysis confirm the generation of time-series data from mobile robotic technologies, which is foundational for training predictive models.
Knowledge base / docs
The existence of detailed design documentation and robotic cell simulations provides invaluable contextual data for understanding the physical and operational parameters behind the sensor readings.
Industrial data
Specific examples of industrial applications, including measurement automation and force control research, prove the collection of real-world sensor data from automated robotic cells under operational stress.
Image collection
Visual data from industrial cells, including those for welding and material sorting, offers a valuable multimodal component that can be correlated with sensor data to improve fault detection accuracy.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Continuous
Delivery
API
Formats
Time Series, IoT, Developer-level
License
One-time license for training predictive maintenance models and internal analytics. Usage restrictions may apply to redistribution or resale.
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 dataset's value is driven by its high rarity as proprietary industrial sensor time-series data from custom robotic systems, directly feeding the high-growth predictive maintenance market. The substantial volume and real-time freshness further enhance its appeal for AI model training.
Detailed schema & sample available on access request.
Want this data?
Request access — we broker a secure deal room. Operator-reviewed, no automatic sharing.
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
Probot Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65 billion in 2025, CAGR 24.30% (source: Fortune Business Insights). Investment score 45.0/100 (confidence 0.69). Recommended action: Acquire.
From the marketplace
Explore live data opportunities
Smart Energies — Maintenance Logs Dataset Opportunity
View opportunity →mobilitySuivideflotte — Mobility Telemetry Dataset Opportunity
View opportunity →otherIel Energie — Sensor Telemetry Dataset Opportunity
View opportunity →