Dataset opportunity
Mylight Systems — Knowledge Base Dataset Opportunity
Large knowledge base dataset held by Mylight Systems, usable for Document Intelligence and RAG.
Score
72.3
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
64%
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
Global Intelligent Document Processing market = USD 3.22 billion in 2025, projected to reach USD 43.92 billion by 2034, with a CAGR of 33.68% (2025-2034)
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-05
Jungheinrich teste des batteries sodium-ion pour ses chariots
supplychainmagazine.fr ↗ - 📰press2026-06-05
L’agenda de la transition énergétique
greenunivers.com ↗ - 📰press2026-06-04
EnergyX, Wildcat Discovery Technologies team up to build ‘battery mecca’ in Texas
mining.com ↗ - 📰press2026-06-04
Colorado co-op delivers 100% renewables in March, a first
utilitydive.com ↗ - 📰press2026-06-04
Inthy accélère dans les camions électriques, renonce à l’hydrogène
greenunivers.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.
- 🧑💻Hiring a data role
Quantitative Analyst /Data Scientist Energy – Modélisation & Pricing
source ↗ - 📦Data product
MYL 2.0 mobile application for real-time energy monitoring and control
source ↗ - 📦Data product
MySmartBattery virtual battery system relies on data for optimization
source ↗ - 🤝Data partnership
Integration with Home Assistant for MyLight Systems data
source ↗
Profile
Dataset profile
Type
Knowledge Base Dataset
Modality
Text
Sector
other
Volume
Large
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Document-AI / IDP vendors
Mylight Systems possesses a rich Knowledge Base Dataset in Text modality, comprising industrial_data, IoT_data, and user information derived from app-based connected solar panels. This unique collection includes detailed personal energy consumption patterns and operational data from smart energy management systems. This data is highly valuable for Document Intelligence as it can train AI models to understand and process complex energy reports, IoT device manuals, and customer-related documents, enabling advanced data extraction and analysis.
The market for Intelligent Document Processing, a key aspect of Document Intelligence, was valued at USD 3.22 billion in 2025 and is projected to reach USD 43.92 billion by 2034, growing at a 33.68% CAGR. Despite the GDPR-sensitive data due to personal consumption patterns, the rarity and specificity of this real-world IoT data make it exceptionally valuable, justifying the negotiation complexity for access. ⚠ Diligence (valuable data, access to negotiate): GDPR-sensitive data due to personal energy consumption patterns and user information collected via the app. · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Mylight Systems offers a proprietary Knowledge Base Dataset rich in domain-specific text, directly addressing the urgent need for specialized data in the rapidly expanding Intelligent Document Processing (IDP) market. This dataset provides real-world documentation from a leader in smart solar solutions, making it exceptionally valuable for Document-AI vendors seeking to train and validate models for document intelligence in the renewable energy sector. With the IDP market projected to reach USD 43.92 billion by 2034, this unique data offers a critical competitive edge now.
See dimension details ↓- Dataset Specificity62
dominant 'knowledge_base', sector other, 2 specific types
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
proprietary domain data
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume98
8 evidence hits, explicit data-volume mention
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 Value64
fit for Document Intelligence
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
The Intelligent Document Processing market, which heavily relies on knowledge base datasets for AI applications, is projected to grow at a Compound Annual Growth Rate (CAGR) of 33.68% from 2025 to 2034, indicating very high buyer demand.
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 Feasibility30
medium difficulty, independent
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength86
4 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 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 Orientation84
4 data-appetite signals (3 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high, 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 Audit92
✓ good target — Mylight Systems is a good target as it operates a real operational business providing smart solar energy management solutions, generating valuable and niche energy consumption data as a by-product, and does not appear to sell this data as its core product. Issues: While Mylight Systems (also referred to as mylight150) has an employee count of 40 as of July 2024, indicating SME status, a significant €100M funding round in
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Knowledge base / docs
This evidence concretely demonstrates Mylight Systems' technical documentation and customer support content, including FAQs and administrative guides, offering domain-specific text crucial for training Document Intelligence models in the renewable energy sector.
IoT / sensor data
This evidence confirms the existence of real-time operational data from smart solar installations, showcasing Mylight Systems' expertise in energy production and consumption monitoring, which contextualizes their knowledge base and offers insights for AI applications in smart grid management.
Industrial data
This evidence highlights Mylight Systems' deep engagement with industrial automation and power electronics, providing time series data on energy flow optimization, further validating their technical authority and the real-world applicability of their knowledge base for industrial AI solutions.
Data-volume signal
This evidence quantifies Mylight Systems' significant market penetration with +30,000 equipped households, indicating a substantial and growing base of real-world operational data that underpins their expertise and the relevance of their knowledge base.
Coverage
Scanned sources
Deliverable
Premium dataset report
Mylight Systems Knowledge Base — a Large knowledge base dataset (Text modality) in the other domain. Primary AI use-case: Document Intelligence. Market signal: Global Intelligent Document Processing market = USD 3.22 billion in 2025, projected to reach USD 43.92 billion by 2034, with a CAGR of 33.68% (2025-2034). Investment score 72.3/100 (confidence 0.64). Recommended action: Data Sharing Agreement.