
Graphistry
Help every analyst investigate like 10 analysts.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
N/A | N/A | Debt | |
Total Funding | 000k |
Graphistry is a cutting-edge startup that specializes in visual graph analytics, leveraging GPU (graphics processing unit) technology to provide fast, interactive data visualization. The company operates in the big data and analytics market, serving clients across various sectors including cybersecurity, fraud detection, IT operations, and customer relationship management. Their primary users are analysts who need to sift through large and complex datasets to uncover hidden relationships and insights.
Graphistry's core product transforms raw data into interactive visual maps, allowing users to explore and analyze data without needing to write complex queries. This is particularly useful for investigations where speed and accuracy are critical. The platform supports a wide range of data sources such as SIEM logs, Elasticsearch, and CSV files, making it versatile for different analytical needs.
The business model of Graphistry is based on a cloud-based Software-as-a-Service (SaaS) offering, which means clients subscribe to their service and access it through a standard web browser. For those who prefer to run the service on their own hardware, Graphistry offers an easy installation via Docker, a platform that simplifies the deployment of applications. This flexibility makes it accessible to a broad range of clients, from small businesses to large enterprises.
Graphistry makes money through subscription fees for its cloud service and potentially through licensing fees for on-premises installations. The platform's ability to integrate with existing data sources and tools, like Splunk and Spark, adds significant value, making it a compelling choice for organizations looking to enhance their data analysis capabilities.
In summary, Graphistry is revolutionizing the way analysts interact with big data by making it more accessible, faster, and easier to visualize. Their GPU-accelerated technology and user-friendly interface set them apart in the competitive landscape of data analytics.
Keywords: GPU-accelerated, data visualization, big data, analytics, cybersecurity, fraud detection, SaaS, Docker, interactive maps, cloud service.