Dataset opportunity
Diligentrobots — Sensor Telemetry Dataset Opportunity
Moderate sensor telemetry dataset held by Diligentrobots, usable for Predictive Maintenance and Anomaly Detection.
Score
70.5
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
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 Predictive Maintenance Market size was valued at USD 14.93 Billion in 2025, projected to grow at a 32.32% CAGR (2026-2035).
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-17
Five years of operation shape Diligent Robotics rollout of Moxi 2.0
therobotreport.com ↗
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
Sensor Telemetry Dataset
Modality
Time Series
Sector
healthcare
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Diligentrobots possesses a unique Sensor Telemetry Dataset derived from its robots operating within hospital environments. This rich Time Series dataset includes event_streams, image_collection, and iot_data, providing a comprehensive basis for developing and training Predictive Maintenance models to anticipate equipment servicing needs and prevent operational downtime.
Despite access complexities such as high HIPAA/GDPR sensitivity and the presence of PII in video/LiDAR feeds, the rarity of this data makes it exceptionally valuable. It offers a real-world foundation for a rapidly growing market; the global Predictive Maintenance market was valued at USD 14.93 Billion in 2025 and is projected to grow at a 32.32% CAGR. [1] This significant growth underscores the demand for high-quality, operational data to build a competitive advantage, justifying the effort to navigate access negotiations. ⚠ Diligence (valuable data, access to negotiate): High HIPAA/GDPR sensitivity due to hospital environment operations.; Data includes video/LiDAR feeds which may capture patients or staff (PII).; Ownership of workflow data might be contractually shared with hospital partners. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Diligentrobots owns a proprietary, multi-modal dataset capturing the complete operational lifecycle of its Moxi robots in complex hospital environments. The data includes high-resolution sensor telemetry, operational event streams, and robot-human interaction records. For industrial AI vendors, this is a rare opportunity to acquire ground-truth data for developing sophisticated predictive maintenance and operational optimization models. This dataset directly addresses a market projected to grow at a 32.32% CAGR, offering a significant competitive advantage.
See dimension details ↓- ICP Audit100
✓ good target — The company's core business is selling/leasing its Moxi robot to hospitals to perform physical tasks, making the vast sensor and telemetry data it generates a valuable, dormant by-product. Issues: The company was acquired by Serve Robotics in January 2026, which could complicate contact and decision-making, though it appears to operate as a subsidiary und
- Dataset Specificity90
dominant 'iot_data', sector healthcare, 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 extremely high, driven by the market's explosive expansion projected at a 32.32% CAGR, as companies urgently seek rich, real-world operational data for advanced predictive models. [1]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
restricted/unknown
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility14
high 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 License62
ownership=company_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, 1 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. - Deep Qualification80
✓ pass — Diligent Robotics is a data_holder with a highly coherent and valuable sensor telemetry dataset, but data ownership is unconfirmed and licensing is complex due to strict HIPAA regulations, making access negotiations challenging despite a recent acquisition trigger.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
This is high-resolution spatial data from LiDAR and camera sensors, essential for training models that predict hardware degradation and navigational failures in autonomous systems.
Event streams
This is a continuous log of operational event streams, tracking robot tasks and movements, which is critical for building models that optimize asset utilization and predict workflow bottlenecks.
Image collection
This is a collection of environmental images captured during robot-human interactions, providing crucial contextual data to correlate component stress with real-world operational conditions and human traffic patterns.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Diligentrobots Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the healthcare domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market size was valued at USD 14.93 Billion in 2025, projected to grow at a 32.32% CAGR (2026-2035) (source: SNS Insider). [1]. Investment score 70.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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