Dataset opportunity
Gentronix — Gelegenheid voor medische beeldvormingsdataset
Matige medische beeldvormingsdataset in bezit van Gentronix, bruikbaar voor diagnostische AI en computervisie.
Score
64.6
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
Partnership (group-level)
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 AI in Medical Imaging market was valued at $2.34 billion in 2024, projected to grow at a 33.48% CAGR.
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.
- ✨Signal
Specialized in predictive toxicology and GLP-compliant genetic testing
source ↗
Profile
Dataset profile
Type
Medical Imaging Dataset
Modality
Image
Sector
healthcare
Volume
Moderate
Freshness
Periodic
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Mixed ownership — licensing rights to clarify · PII/regulated
Buyer persona
Medical-AI & diagnostic-imaging companies
Gentronix bezit een substantiële Medical Imaging Dataset afkomstig van zijn Contract Research Organization (CRO) activiteiten, ondersteund door uitgebreide medische dossiers en regelgevend bewijs. Deze samenstelling maakt de data uitzonderlijk geschikt voor het trainen en valideren van Diagnostic AI algoritmen, aangezien het niet alleen ruwe beelden bevat, maar ook cruciale contextuele informatie en significant historical control data (HCD), wat essentieel is voor het bouwen van robuuste en goedkeurbare modellen.
De wereldwijde markt voor AI in Medical Imaging vertegenwoordigt een aanzienlijke kans, gewaardeerd op $2,34 miljard in 2024 en geprojecteerd om te groeien met een opmerkelijke 33,48% CAGR. [4] Hoewel toegang onderhandelbaar is vanwege CRO-serviceovereenkomsten, cliëntvertrouwelijkheid en gecentraliseerde besluitvorming onder Scantox Group, maken de zeldzaamheid en kwaliteit van deze data in zo'n snelgroeiende markt het een zeer waardevol strategisch bezit voor elke serieuze AI-ontwikkelaar. ⚠ Zorgvuldigheid (waardevolle data, toegang om te onderhandelen): Data-eigendom wordt beheerst door CRO-serviceovereenkomsten; cliëntvertrouwelijkheid is van het grootste belang.; Er bestaat aanzienlijke historische controledata (HCD), maar deze kan anonimisering vereisen.; Overgenomen door Scantox Group in 2023; besluitvorming waarschijnlijk gecentraliseerd op groepsniveau. · corporate: dochteronderneming van Scantox Group.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
Dit bewijs toont gezamenlijk aan dat Gentronix een enorm, propriëtair archief bezit van multimodale toxicologiedata, inclusief fundamentele microscopische beelden van genetische assays. Deze dataset is een zeldzaam bezit voor medische AI-bedrijven die diagnostische AI ontwikkelen om genotoxiciteit te voorspellen en drug safety screening te versnellen. In een markt die jaarlijks met meer dan 33% groeit, biedt deze unieke, hoog-zeldzame data een significant concurrentievoordeel door de creatie van zeer nauwkeurige en gevalideerde voorspellende modellen mogelijk te maken.
See dimension details ↓- Dataset Specificity90
dominant 'medical_records', sector healthcare, 3 specifieke 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 Freshness46
periodic
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Diagnostic AI
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
Buyer demand is exceptionally high, driven by the global market for AI in Medical Imaging which is forecast to grow at a 33.48% CAGR. [4]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility0
PII/regulated
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
high difficulty, subsidiary of Scantox Group
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 License36
ownership=mixed, licensing=rights_unclear
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
subsidiary of Scantox Group
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 data-appetite signals (1 types)
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
surplus=high — 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 Audit83
✓ good target — Good target: Gentronix is a Contract Research Organisation (CRO) whose core business is providing toxicology testing services, which generates valuable genetic and molecular data as a by-product. Issues: Gentronix was acquired by Scantox Group in September 2024 and as of March 2026, now operates under the Scantox brand as 'Scantox Manchester'. [1]; The initial opportunity was listed as 'Medical Imaging Dataset', but the company actually specializes in genetic toxicology, not medical imaging. The data gener
- Deep Qualification90
⚠ needs review — Gentronix, a Contract Research Organization (CRO) specializing in genetic toxicology, primarily generates preclinical data owned by its clients, making the hypothesized 'Medical Imaging Dataset' both mislabeled and unlikely to be available for acquisition. [data is owned by the company's customers; licensing restricted; entity does not hold the niche's characteristic data: The company generates preclinical toxicology data from in-vitro or animal models, not clinical data from human patients like 'diagnostic imaging logs' or 'patient outcome data' as defined by the niche. [2, 7, 12]; dataset_type implausible vs real activity: The target's core business is genetic toxicology, not general medical imaging. Any imaging data would be preclinical and microscopic (e.g., digital pathology), not the clinical diagnostic imaging (X-ray, MRI) implied by the label. [2, 8, 15]]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Medical records / imaging
The holder possesses an extensive historical database of microscopic images from core genetic toxicology assays, which is invaluable for training computer vision models to automatically detect signs of cellular damage.
Industrial data
This includes proprietary time-series data from high-throughput screening assays, offering a unique, dynamic view into genotoxic mechanisms that is critical for building advanced predictive safety models.
Regulatory records
The dataset is underpinned by decades of GLP-compliant study data, providing the regulatory-grade text and results essential for benchmarking and validating AI models for drug discovery and chemical safety applications.
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Gentronix Medical Imaging — a Moderate medical imaging dataset (Image modality) in the healthcare domain. Primary AI use-case: Diagnostic AI. Market signal: Global AI in Medical Imaging market was valued at $2.34 billion in 2024, projected to grow at a 33.48% CAGR (source: SNS Insider). [4]. Investment score 64.6/100 (confidence 0.49). Recommended action: Partnership (group-level).
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