The company provides a cloud‑based platform that continuously aggregates and normalizes data from over 150 commercial sources, applying AI‑driven cleaning and tagging to deliver daily to weekly updates. Processed datasets are accessible through SaaS dashboards and REST/FHIR APIs, with optional custom data collection, reporting, and analyst‑generated market insights. Its primary users are institutional investors and enterprise customers needing granular, high‑frequency commercial intelligence for investment and strategic decisions.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional investors and enterprise users often rely on fragmented, low‑frequency data sources to monitor market trends and assess company fundamentals, leading to delayed insights and suboptimal decision‑making. Gathering, cleaning, and analyzing large‑scale commercial data across multiple sectors is resource‑intensive and prone to inconsistencies.
Solution
The company operates a cloud‑based data platform that continuously aggregates and normalizes information from more than 150 online and offline sources covering retail, hospitality, entertainment, real estate, recruitment, education, transportation, automotive, and other commercial domains. An AI‑enhanced pipeline performs automated data cleaning, enrichment, and tagging, delivering high‑frequency (daily to weekly) updates with low latency. Clients access the processed data through SaaS dashboards that surface key operating metrics for listed companies, as well as through APIs for integration into internal analytics environments. In addition, the firm offers research reports and analyst‑driven consulting services that translate raw data into actionable market insights. Custom data collection, processing, and reporting services are available to address specific strategic, product, or operational needs of enterprise customers. The platform’s architecture ensures data security, scalability, and compliance with industry standards.
Target Audience
Primary customers are institutional investors (asset managers, hedge funds, securities research desks) and enterprise users such as brands, retailers, and market‑research firms that require timely, granular commercial intelligence to inform investment and strategic decisions.
Features
- Unified ingestion engine pulling from 150+ data feeds across 10+ commercial sectors, including 4 billion+ online products, 300 k+ brands, and 5 million+ stores worldwide
- AI‑powered data cleaning, deduplication, and multi‑dimensional tagging that delivers near‑real‑time (daily) updates and event‑driven alerts
- SaaS analytics portal with customizable KPI widgets, trend visualizations, and drill‑down capabilities for listed‑company performance monitoring
- RESTful and FHIR‑compatible APIs enabling seamless integration of enriched datasets into client data warehouses or BI tools
- On‑demand custom data services covering end‑to‑end pipeline (collection, processing, analysis) and bespoke research report generation
- Localized deployment option that provides pre‑cleaned, product‑level datasets with rich attribute tags for integration into private data lakes
- Cross‑analysis engine supporting multi‑dimensional queries across brands, categories, regions, and time periods, with automated report templating
- Analyst team delivering periodic market‑trend reports, competitive landscape assessments, and fundamental forecasts for both primary and secondary market participants