The startup offers a Predictive Customer Data Platform that utilizes a real-time user scoring engine to enhance content delivery, marketing strategies, and paywall management for publishers. By leveraging technologies like Apache Druid and Flink, it enables publishers to optimize user engagement and revenue generation through actionable insights derived from real-time analytics.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BPFounders
Product
Problem
Publishers struggle to effectively personalize content delivery, optimize marketing campaigns, and manage paywalls due to a lack of real-time insights into user behavior and preferences. Traditional data analytics solutions often fail to provide the speed and granularity needed to make timely decisions and maximize user engagement.
Solution
Deep.BI offers a real-time analytics and AI platform designed to empower businesses with actionable insights derived from streaming data. Leveraging technologies like Apache Druid and Flink, the platform enables real-time data ingestion, processing, and enrichment, facilitating the development and deployment of custom AI models. The platform provides tools for dashboarding, reporting, and data visualization, allowing users to monitor key metrics, detect anomalies, and automate decision-making based on model outputs. By streamlining data processes and providing real-time monitoring capabilities, Deep.BI helps businesses optimize user engagement, personalize content delivery, and enhance revenue generation.
Target Audience
The primary target audience includes enterprises across telecommunications, retail, e-commerce, finance, banking, travel, publishing, media, advertising, and marketing, seeking to leverage real-time analytics and AI to optimize their operations.
Features
- Real-time data ingestion from various sources, including databases, APIs, and file systems
- Data processing and enrichment using Apache Flink for transforming and analyzing large data volumes
- Interactive dashboards and data visualization tools for actionable insights
- AI model development and serving capabilities for real-time deployment and automated decision-making
- Monitoring, alerting, and anomaly detection with customizable thresholds and rules
- Predictive Cache for Apache Druid to accelerate query times
- Deep Explorer for cloud-based analytics
- Deep Segment Reader to enable access to historical data
- Deep Watch for large-scale Druid monitoring and tuning