Axiad Opens India Development Center to Boost R&D

May 6, 2025
Axiad has launched a new development center in Hyderabad, India, to enhance its global R&D capabilities, as announced in a press release. The company also appointed Ketan Dudhane as Director of Engineering in India.

Axiad has launched a new development center in Hyderabad, India, to enhance its global R&D capabilities, as announced in a press release. This strategic expansion aims to bolster Axiad's engineering presence and drive AI-driven identity security initiatives.

The company has appointed Ketan Dudhane as the Director of Engineering in India. Dudhane, with nearly two decades of experience, will lead product engineering operations and collaborate with Axiad's U.S. headquarters. His role will focus on advancing Axiad's flagship products, Axiad Conductor and Axiad Mesh, which provide phishing-resistant authentication solutions.

John Babbidge, CTO of Axiad, emphasized the importance of India in the company's global growth strategy, highlighting the potential for innovation and development in the region.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)
Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Guide
Contract Lifecycle Management with AI

Contract Lifecycle Management with AI

Platforms where the assistant comes attached to the repository, the workflow and the approvals

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.