Dataset opportunity
Weev — Mobility Telemetry Dataset Opportunity
Large mobility telemetry dataset held by Weev, usable for Predictive Maintenance and Anomaly Detection.
Score
79.5
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
72%
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 EV Charging Management Software Platform market = $1.6 Billion in 2023, CAGR 27.5%.
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
Mobility Telemetry Dataset
Modality
Time Series
Sector
mobility
Volume
Large
Freshness
Real-time
Rarity
Medium
Accessibility
Partial
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Industrial AI & maintenance-optimization vendors
Weev holds a Mobility Telemetry Dataset in a Time Series modality, derived directly from its network's APIs, geo_data, and iot_data streams. This provides a rich, granular view of real-world charger operations, including event streams and user history, making it exceptionally well-suited for training Predictive Maintenance models to anticipate hardware failures, reduce downtime, and optimize network performance.
The business value is substantial, targeting the global EV Charging Management Software Platform market, which was valued at $1.6 billion in 2023 and is projected to grow at a 27.5% CAGR. [6] While access requires navigating GDPR constraints, potential shared data ownership with site hosts, and technical integration with a proprietary NMS, the rarity of such detailed operational data in a high-growth sector makes it a crucial asset for developing a competitive advantage. ⚠ Diligence (valuable data, access to negotiate): User charging history and location data are subject to GDPR.; Data ownership may be shared or restricted by contracts with site hosts (landlords/councils).; Technical integration required with their proprietary Network Management System (NMS). · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Weev owns a rich stream of IoT telemetry and event data from its EV charging network. The dataset includes detailed logs of charging sessions, power curves, and live status updates, which are critical for developing predictive maintenance algorithms. For AI vendors targeting the rapidly growing $1.6 billion EV charging management market, this data is a key asset for optimizing hardware uptime and performance, a crucial factor in a market expanding at over 27% annually.
See dimension details ↓- Dataset Specificity90
dominant 'iot_data', sector mobility, 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 Rarity58
proprietary domain data (open lowers rarity)
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 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 Demand85
AI buyer demand is driven by the critical need to build reliability solutions for the rapidly growing EV Charging Management Software market, which is projected to expand at a 27.5% CAGR. [6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility60
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 Feasibility84
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength100
6 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 License62
ownership=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 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, 2 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 Audit100
✓ good target — Weev is a well-funded SME that owns and operates a growing EV charging network, making the telemetry data it collects as a by-product of its core operational business an ideal fit.
- Deep Qualification90
✓ pass — Weev operates as an EV charging network installer and operator, not a data broker. The telemetry dataset is a plausible byproduct of its core business, and its terms explicitly state that usage data is the property of Weev. However, this data is subject to GDPR, and while a major funding round acts
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
API access
The company provides API access to its network data, including charger locations, which is a standard delivery mechanism for software platforms integrating third-party data services.
press
- “Dans la foulée du plan futuREady, le groupe Renault annonce plusieurs nominations, dont celle de Quitterie de Pelleport au poste de secrétaire générale. Sandra Gomez et François Lavernos sont également promus dans cette nouvelle organisation.”
- “<figure><div><img src="https://imgproxy.divecdn.com/xOQQba6gc7uUfxx5s0k0HuOFXJmr9m8UWGYWBmeJaJ8/g:ce/rs:fill:1600:900:1/Z3M6Ly9kaXZlc2l0ZS1zdG9yYWdlL2RpdmVpbWFnZS9UTU5BLUhlYWRxdWFydGVycy1FeHRlcmlvci1FbnRyYW5jZS0xNTAweDEwNjEuanBn.webp" /></div></figure><p>Changes include expanded roles for Group VP of Supply Chain Kevin Austin and Group VP of Vehicle Supply Chain Kensuke Morita.</p>”
Open data
Weev maintains a public-facing open data initiative, signaling a structured approach to data management and a potential entry point for partners to evaluate sample datasets before licensing commercial feeds.
Downloads / exports
The company's consumer mobile app serves as a primary collection point for user interactions and charging session initiation, generating the raw data that feeds into their backend telemetry datasets.
IoT / sensor data
The dataset contains granular IoT data from charging hardware, including detailed power curves and session logs, which is essential for training AI models to predict component failure and optimize maintenance schedules.
Geospatial data
Weev captures geographic data on its charging hubs, including historical usage at high-traffic locations, which allows for analysis of hardware stress and performance based on location-specific demand.
Event streams
The company generates real-time event streams that include live charger status and historical occupancy rates, providing the critical fault and usage signals needed for proactive anomaly detection systems.
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for predictive maintenance use cases, subject to GDPR compliance.
Personal data
Contains 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 offers granular, real-time EV charger telemetry, crucial for predictive maintenance in the rapidly growing EV charging management market. High demand is driven by the $1.6B market size and 27.5% CAGR, though GDPR compliance adds a layer of complexity.
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
Weev Mobility Telemetry — a Large mobility telemetry dataset (Time Series modality) in the mobility domain. Primary AI use-case: Predictive Maintenance. Market signal: Global EV Charging Management Software Platform market = $1.6 Billion in 2023, CAGR 27.5% (source: Market Research Future). [6]. Investment score 79.5/100 (confidence 0.72). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Ronetic — Maintenance Logs Dataset Opportunity
View opportunity →mobilitySpiekermann — Inspection Reports Dataset Opportunity
View opportunity →industrialOmnifab — Maintenance Logs Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- What is a Dataset Worth?3 min read
- How a Data Transaction Works3 min read
- What you are entitled to sell3 min read