Katana Graph

Software DevelopmentTexas, United States2-10 Employees

Katana Graph helps today’s forward-looking, data-driven organizations turn boundless data into a competitive advantage. Our flagship technology is an AI-powered graph intelligence platform that uses an unparalleled combination of novel graph algorithms, graph neural network architecture and the latest advances in hardware acceleration to power faster, more accurate insights at unmatched scale and performance.

Our Mission
We’ve set out to reimagine the future of graphs and to create an innovative new world at the intersection of high performance computing and graph technology. Join us as we blaze paths for new applications in the enterprise and beyond.
 
Our People
Our top-notch team is continuously energized by working on our industry’s biggest, most forward-looking challenges. We’ve assembled a team full of talented technical minds – and empowered them to question everything, to unearth new approaches, and to challenge themselves to make data work in exciting and unexpected new ways.

What Sets Us Apart
Katana Graph has built upward on a rock-solid foundation of academic rigor and a commitment to continuous improvement. We’ve worked tirelessly to move graph computing forward by pioneering new use cases and gearing our intelligence platform for the hardware and software of the future.

Real-World Impact
From comprehensive fraud detection in real time and 360-degree views of the customer to maximizing R&D time and cost efficiencies, Katana Graph empowers our customers to perform and perfect business-critical tasks that help set them apart from the competition. We’re changing the face of data-driven industries like financial services, health & life sciences, and security, and are always looking ahead to new challenges.

We work closely with customers to identify new ways to make massive data work for them, by supporting decentralized workloads for graph query, analytics, mining, and AI — and fueling a new era of rich applications and insights never before possible.

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