Sensor Tower Receives Strategic Investment from Shinhan Securities to Advance Gen AI Data Capabilities

Oct 27, 2025
Sensor Tower announced a strategic investment from Shinhan Securities to accelerate product innovation and expand its Generative AI and web data capabilities. The funding will support Sensor Tower’s continued growth following recent acquisitions and new product launches.

Sensor Tower has secured a strategic investment from Shinhan Securities, announced in a press release. The funding will be used to accelerate product innovation, particularly in Generative AI and web data analytics.

The San Francisco-based digital intelligence provider has experienced consistent growth, reporting a 60% compound annual revenue increase over the past five years. Shinhan Securities, part of South Korea’s Shinhan Financial Group, joins existing investors Riverwood Capital, Paramark Ventures, and Bain Capital Credit.

Sensor Tower’s recent expansions include the acquisitions of Video Game Insights and Playliner, enhancing its data coverage for PC and console gaming performance. It also launched Web Insights, a platform offering analytics on desktop and mobile web traffic derived from first-party panel data.

Proceeds from the investment will support the integration of advanced AI technologies into Sensor Tower’s platform, broadening its data visibility across the digital economy and strengthening its position in digital intelligence and analytics.

We hope you enjoyed this article

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

Also, consider following us on social media:

AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

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.