Pometry is a cutting-edge startup focused on simplifying graph analytics, particularly temporal graph analytics, which involves analyzing data that changes over time. The company operates in the data analytics market, serving clients across various sectors including cryptocurrency, financial fraud detection, insurance, and social network analysis. Pometry's core platform is designed to eliminate data silos (isolated data storage), provide causal insights (understanding cause-and-effect relationships), and scale efficiently using their proprietary Time Machine technology.

Pometry's business model revolves around offering an open-source platform that has been optimized to be ten times faster than its previous versions. This platform is available for free on GitHub, making it accessible to a wide range of users. The company generates revenue through premium features, consulting services, and specialized solutions tailored to specific industries.

The platform's key features include:

- **Graph 2.0**: A revamped version of traditional graph analytics that simplifies deployment and data ingestion.

- **LiveQuery Algorithm**: Allows for real-time analysis of time-varying patterns, providing insights in milliseconds.

- **TemporalMotifs**: Identifies patterns over different time windows, ranging from seconds to days.

- **Anomaly Detection**: Detects unusual patterns that could indicate fraud or other issues.

- **Scalability**: Capable of handling billions of records in minutes without the need for expensive transformation pipelines or proprietary storage solutions.

Pometry's platform is particularly beneficial for businesses that need to analyze large volumes of data in real-time to make informed decisions quickly. By focusing on temporal analysis, Pometry helps clients identify what really matters in their data, enabling them to act on insights promptly.

In summary, Pometry is revolutionizing the way businesses approach graph analytics by providing a fast, scalable, and user-friendly platform that delivers real-time insights across various industries.

Keywords: Graph Analytics, Temporal Analysis, Real-time Insights, Data Silos, Causal Insights, Scalability, Open Source, Financial Fraud, Insurance, Social Network Analysis.