Dataset opportunity
Uniuni — Mobility Event Dataset Opportunity
Moderate mobility event dataset held by Uniuni, usable for Forecasting and Anomaly Detection.
Score
48
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
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 Transportation Analytics market was valued at $15.84 billion in 2025, projected to grow at a 24.19% CAGR.
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-10-19
Walmart approves 8 more parcel carriers for seller-fulfilled shipping
supplychaindive.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.
- ✨Signal
Proprietary 'UniUni Driver' app generates massive telemetry and route data
source ↗
Profile
Dataset profile
Type
Mobility Event Dataset
Modality
Time Series
Sector
mobility
Volume
Moderate
Freshness
Real-time
Rarity
High (proprietary)
Accessibility
Restricted
Legal
Owned by the company — GDPR-sensitive (PII review)
Buyer persona
Quant funds & demand-forecasting AI teams
Uniuni provides a Mobility Event Dataset structured as a Time Series, integrating real-time `event_streams`, granular `geo_data` from private driver telemetry, and associated `transaction_data`. The high-frequency, multi-faceted nature of this data makes it exceptionally suitable for building and training sophisticated Forecasting models to predict demand, traffic patterns, and service availability with high accuracy.
The underlying Transportation Analytics market was valued at $15.84 billion in 2025 and is projected to grow at a 24.19% CAGR, demonstrating immense business value. While the dataset's PII and high-volume streams require robust anonymization and ETL processes, its rarity and real-world depth offer a distinct competitive advantage for AI buyers. The complexity is justified by the opportunity to develop proprietary forecasting models in a rapidly expanding, high-value market. ⚠ Diligence (valuable data, access to negotiate): Contains PII (names, addresses) requiring heavy anonymization; Geospatial data linked to private driver telemetry; High-volume real-time data streams require robust ETL for extraction · corporate: independent.
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
This evidence collectively proves Uniuni owns a high-rarity, proprietary dataset detailing the real-time movement of millions of e-commerce parcels across North America. The data combines granular logistics events with aggregated shipping volumes, creating a powerful signal for forecasting models. In a transportation analytics market projected to grow at over 24% annually, this dataset is a critical asset for quant funds and AI teams seeking to predict supply chain performance and shifts in consumer density.
See dimension details ↓- Dataset Specificity90
dominant 'event_streams', 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 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 Freshness82
real-time/streaming
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
fit for Forecasting
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
AI buyer demand is extremely high, driven by the need for predictive insights in the Transportation Analytics market which is growing at a rapid 24.19% CAGR.
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
medium difficulty, independent
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 License62
ownership=company_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 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, 1 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 Audit67
⚠ review — Uniuni's core business is selling tech-enabled logistics and delivery services, not a byproduct, making it a bad fit as it's already a market player. Issues: The company's core product is 'Smarter Last-Mile Shipping for E-commerce', a technology and delivery service.; They explicitly sell logistics solutions to e-commerce businesses, which falls under selling intelligence/a service, not dormant data.; Dealroom.co categorizes their business model as SaaS and technology as Artificial Intelligence, confirming they sell intelligence.; The company's privacy policy mentions the possibility of 'selling' personal information as defined by law, but also states they have not sold personal data in t
- Deep Qualification90
✓ pass — Uniuni is a last-mile logistics provider, making its operational data a by-product. The data, containing PII and driver telemetry, is coherent with the 'Mobility Event Dataset' label but requires significant anonymization before any potential use.
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
The dataset contains granular geospatial information derived from a proprietary routing engine, capturing millions of delivery points and real-time GPS pings valuable for optimizing last-mile logistics models.
Event streams
This core time-series data provides real-time tracking events for tens of millions of parcels, enabling the modeling of delivery success rates and the prediction of regional logistics bottlenecks.
Transaction data
This tabular data provides aggregated metrics on e-commerce shipping volumes and consumer density patterns, offering a macroeconomic lens for forecasting commercial activity and demand.
Marketplace
Dataset details
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
Uniuni Mobility Event — a Moderate mobility event dataset (Time Series modality) in the mobility domain. Primary AI use-case: Forecasting. Market signal: Global Transportation Analytics market was valued at $15.84 billion in 2025, projected to grow at a 24.19% CAGR (source: Fortune Business Insights).. Investment score 48.0/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
From the marketplace
Explore live data opportunities
Entractfilms — Event Stream Dataset Opportunity
View opportunity →mobilityVanmieghem — Mobility Telemetry Dataset Opportunity
View opportunity →otherBleeckerstreetmedia — Event Stream Dataset Opportunity
View opportunity →Data Academy
Learn before you deal
- Why Buy External Data?3 min read
- Buying Data Without Mistakes3 min read
- Your Expertise is Gold for AI3 min read