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Katana Graph

Katana Graph develops a high-performance graph intelligence platform that utilizes novel graph algorithms and hardware acceleration to analyze massive datasets. This technology enables rapid identification of data patterns and anomalies, addressing challenges in fields such as drug discovery, fraud detection, and identity management.

Austin, United StatesFounded 202072K+ followers
Updated 20 months ago

Funding

$30.5M 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.

Funding rounds are not available yet.

Founders

Product

Problem

Analyzing massive, complex datasets to identify patterns, anomalies, and insights is computationally intensive and often too slow for real-time decision-making. Existing graph analytics platforms struggle to scale and deliver timely results, hindering innovation across industries.

Solution

Katana Graph provides a high-performance graph intelligence platform designed to accelerate data analysis and insight discovery. The platform combines novel graph algorithms, graph neural network (GNN) architectures, and hardware acceleration to deliver unmatched scale and performance. By simplifying distributed computing, Katana Graph enables users to bring in a wider array of data to be standardized and plotted onto the graph. This allows for faster, deeper, and more accurate insights for use cases like drug discovery, fraud detection, and identity management.

Target Audience

Katana Graph targets data scientists, business analysts, and IT teams across industries such as financial services, health and life sciences, and security who require rapid analysis of large, connected datasets.

Features

  • High-performance graph query, analytics, AI, and mining capabilities
  • Novel graph algorithms and graph neural network architectures
  • Hardware acceleration for optimized performance
  • Distributed GNN training solution
  • Scalability beyond 256 machines
  • Compatibility with Azure, GCP, and AWS cloud platforms
This profile is AI-generated and may contain inaccuracies.