Dataset opportunity

Gravisrobotics — Industrial Sensor Dataset Opportunity

Moderate industrial sensor dataset held by Gravisrobotics, usable for Predictive Maintenance and Anomaly Detection.

Industrial Sensor DatasetTime SeriesPredictive Maintenance🌍 Switzerlandgravisrobotics.com18 ago 2026

Confidence

51%

Market size (indicative estimate)

Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (2026-2034).

Sourced by 2 recent signals · 2 independent sources

Recent dated external facts that triggered this opportunity — auditable provenance.

  • 📰press2026-08-18

    Autonomous equipment tech firm Gravis Robotics raises $200M

    constructiondive.com
  • 📰press2026-08-17

    $200M Funding Round Set for Automated Equipment Startup Gravis Robotics

    enr.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.

3 signals

Concrete evidence this company actively cares about data — why it's ripe for the deal room.

  • 📣Press / announcement

    Raised $200M Series A from SoftBank for Physical AI scaling

    source
  • 🧑‍💻Hiring a data role

    Recruiting Perception and Platform engineers for autonomous fleet management

    source
  • Signal

    Deployment of autonomous excavators across global jobsites generating real-world execution data

    source

Profile

Dataset profile

Type

Industrial Sensor Dataset

Modality

Time Series

Sector

industrial

Volume

Moderate

Freshness

Real-time

Rarity

High (proprietary)

Accessibility

Partial

Legal

Owned by the company — clean to license

Buyer persona

Industrial AI & maintenance-optimization vendors

Gravisrobotics holds a proprietary Industrial Sensor Dataset generated by its Gravis RACK hardware retrofitted onto heavy machinery. This Time Series data, including `industrial_data` and `iot_data`, captures real-world operational metrics directly from client construction sites. The dataset is structured to directly support Predictive Maintenance models, aiming to forecast equipment failure and optimize maintenance schedules.

The value of this data is underscored by the global Predictive Maintenance market, which was valued at $13.65 billion in 2025 and is projected to grow with a CAGR of 24.30% between 2026 and 2034. [3, 6] While access requires navigating client-specific data sharing clearances due to on-site collection, the dataset's rarity and direct applicability to this high-growth market present a significant opportunity. High-value perception data (Lidar/Vision) is also held, representing future potential. ⚠ Diligence (valuable data, access to negotiate): Data is generated via proprietary hardware (Gravis RACK) retrofitted on third-party machinery.; Operational data is collected on client construction sites, potentially requiring site-specific data sharing clearances.; High-value perception data (Lidar/Vision) is likely stored for model training but not yet externalized. · corporate: independent.

Scoring

Scored dimensions

Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.

Public evidence confirms Gravisrobotics possesses proprietary time-series sensor data generated by autonomous heavy machinery, including 30-ton excavators. This machine telemetry, captured during real-world physical execution, is a critical asset for AI vendors developing predictive maintenance solutions. In a market projected to reach $13.65B by 2025 and growing at over 24% annually, this rare industrial data offers a significant competitive advantage for training robust AI models that can anticipate equipment failure.

See dimension details
SpecificityRarityVolumeTraining ValueBuyer DemandEvidence StrengthData Orientation
  • ICP Audit33

    ⚠ review — Gravis Robotics' core business is selling an AI-powered software and hardware kit that provides intelligence and autonomy to heavy machinery, making it a technology vendor and not a holder of dormant data. Issues: Company's core product is selling intelligence/AI software (the 'Gravis Rack' and associated OS), which is an explicit exclusion criterion. [6, 7, 11, 14]; The company is a technology vendor that retrofits equipment, not an operational business that accumulates data as a by-product. [10, 14, 17]; Following a $200M Series A, the company is valued at $1B and is scaling rapidly, potentially exceeding the 'SME' and 'giant' criteria. [6, 8, 9]; While their systems generate vast amounts of data ('continuous site sensor'), this data is integral to their AI product's operation and improvement, not a dorma

  • Deep Qualification70

    ✓ pass — The company's model of retrofitting excavators with its 'Gravis RACK' autonomy kit confirms it is a data_holder, generating a valuable industrial sensor dataset as a by-product of its core business. [6, 10] However, as the data is collected on client-owned machinery at third-party sites, ownership and licensing rights are undetermined, representing the main diligence hurdle.

Evidence

Dataset evidence & lineage

What the typed evidence proves the company holds — reframed for clarity and set against the market.

IoT / sensor data

This evidence points to high-frequency machine telemetry data, essential for training AI models to understand and react to complex physical forces in real-time.

Image collection

The company collects image data of its heavy machinery in operation, a valuable asset for developing computer vision models that complement sensor-based analytics.

Industrial data

This confirms the collection of industrial data from autonomous heavy machinery operating on global jobsites, proving the dataset's real-world operational relevance and scale.

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

Scanned sources

https://www.gravisrobotics.comingested
https://www.gravisrobotics.com/careersingested
https://www.gravisrobotics.com/series-aingested
https://www.gravisrobotics.com/contactingested
https://www.gravisrobotics.com/about-usingested
https://www.gravisrobotics.cominferred

Deliverable

Premium dataset report

Gravisrobotics Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance market = $13.65B in 2025, CAGR 24.30% (2026-2034) (source: Fortune Business Insights). Investment score 40.0/100 (confidence 0.51). Recommended action: Acquire.

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