KLIPY Raises $3.8 Million and Joins Google AI Futures Fund

Jun 18, 2026
KLIPY has raised $3.8 million and joined Google's AI Futures Fund to expand its expression API layer for GIFs, memes, stickers, clips, and AI media integration.

KLIPY has raised 3.8 million dollars and joined the Google AI Futures Fund to expand its expression API layer for GIFs, memes, stickers, clips, and AI media according to a press release.

The San Francisco based company provides an API that allows developers to integrate expressive media and AI tools into social and creative platforms such as BeReal, Baidu, Canva, Figma, and Microsoft SwiftKey. Its system supports content distribution and management for creators, brands, and rights holders, processing billions of requests each week.

KLIPY plans to use the funding to expand its product, engineering, and sales teams, and to develop new monetization and creative tools. The company is also building infrastructure for contextual advertising to help partner applications generate revenue while maintaining content control and user privacy.

The funding round included participation from I2BF, Silvercircle VC, Sturgeon Capital, Red Swan Ventures, Intuition Ventures, Capra Ventures partner Yash Patel, and former NBA player Zaza Pachulia. KLIPY was founded by Givi Beridze, Frank Nawabi, and Waska Chaduneli, whose previous ventures include Tenor, a GIF sharing platform acquired by Google in 2018.

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:

Free newsletter

AI Funding Brief

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
Free, six days a week

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