Dataset opportunity
Asicnorth — 工业传感器数据集机会
Asicnorth 持有的海量工业传感器数据集，可用于预测性维护和异常检测。
Score
68.7
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
71%
Action
合作（集团层面）
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)
-
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-08-04
Pourquoi IBM mise-t-il son avenir sur 120 qubits ?
fr.tradingview.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.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 📣Press / announcement
被 Tessolve 收购以加强半导体设计能力
source ↗
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
大型
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
公开网络信号表明 Asicnorth（工业领域）拥有一个工业传感器数据集（时间序列）。通过 api、developer_portal、industrial_data、iot_data、knowledge_base 等 6 个来源的证据检测到。主要证据：iot_data。⚠ 尽职调查（有价值的数据，可协商访问）：Tessolve 的子公司（2022 年被收购），需要集团层面的参与；设计数据的很大一部分可能受到严格的客户保密协议的约束；独立于代工厂的地位意味着他们拥有跨工艺的表征数据。· 公司：Tessolve 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Asicnorth 拥有一个高度专有的数据集，该数据集源自其设计和制造定制工业物联网设备和ASIC芯片的核心业务。数据源自整个组件生命周期，包括表征和鉴定，提供了稀有的高保真信号。对于工业人工智能供应商而言，这是训练下一代预测性维护模型的关键资产，由于其稀有性和直接应用于优化工业运营的适用性，代表着重大的市场机会。
See dimension details ↓- Dataset Specificity78
主要的“iot_data”，工业领域，2 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume88
9 条证据
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand78
人工智能买家对预测性维护的需求
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
中等难度，Tessolve 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength98
5 种证据类型，9 条命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Tessolve 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
剩余=高，1 条近期外部信号 — 超出已货币化部分的专有数据
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 Audit83
✓ 良好目标 — Asicnorth 是一个良好的目标，因为它是一家专注于为客户设计和供应定制 ASIC 硬件的中小型企业，包括传感器接口，这意味着产生的任何运营数据都将是其核心业务的副产品。问题：公司的核心是设计服务，而不是运行产生数据的基础设施。‘专有数据’将是他们芯片的测试/表征数据
- Deep Qualification80
⚠ 需要审查 — Asicnorth 是一家高端半导体设计服务公司，其工作产品，包括任何传感器表征数据，均归客户所有。商业模式从根本上是基于服务的，由于客户所有权和保密协议，数据转售极不可能。[数据归公司客户所有；许可受限]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
多次提及构建完整的物联网生态系统和集成传感器直接证实了该公司生成人工智能维护平台所需的基础时间序列数据的能力。
API access
提及物联网终端设备表明从部署的硬件收集结构化数据，这是人工智能模型训练的关键真实世界运营数据来源。
Developer portal
支持开发人员将组件集成到单个设备中的证据表明对硬件堆栈有深入、系统的控制，确保了由此产生的传感器数据的完整性和独特性。
Industrial data
该公司在VLSI开发方面的端到端服务，包括表征和鉴定，证明了他们在设备部署之前就生成了有价值的测试和性能数据。
Knowledge base / docs
提及专有的IP 块和ASIC交付成果，强调数据是独特、自有技术的副产品，使其成为任何人工智能买家的稀有且可防御的资产。
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
Deliverable
Premium dataset report
Asicnorth Industrial Sensor — a Large industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: $$$ — high AI buyer demand. Investment score 68.7/100 (confidence 0.71). Recommended action: Partnership (group-level).
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