Skip to main content

CommonGround raises $19M to rethink online communication

CommonGround, a startup developing technology for what its founders describe as “4D collaboration,” is announcing that it has raised $19 million in funding.

This isn’t the first time Amir Bassan-Eskenazi and Ran Oz have launched a startup together — they also founded video networking company BigBand Networks, which won two technology-related Emmy Awards, went public in 2007 and was acquired by Arris Group in 2011. And before that, they worked together at digital compression company Optibase, which Oz co-founded and where Bassan-Eskenazi served as COO.

While CommonGround is still in stealth mode and doesn’t plan to fully unveil its first product until next year, Bassan-Eskenazi and Oz outlined their vision for me. While they acknowledged that video conferencing has improved significantly, they said it still can’t match face-to-face communication.

“Some things you just cannot achieve through a flat video conferencing-type solution,” Bassan-Eskenazi said. “Those got better over the years, but they never managed to achieve that thing where you walk into a bar … and there’s a group of people talking and you know immediately who is a little taken aback, who is excited, who is kind of ‘eh.'”

CommonGround founders Amir Bassan-Eskenazi and Ran Oz

CommonGround founders Amir Bassan-Eskenazi and Ran Oz

That, essentially, is what Bassan-Eskenazi, Oz and their team are trying to build — online collaboration software that more fully captures the nuances of in-person communication, and actually improves on face-to-face conversations in some ways (hence the 4D moniker). Asked whether this involves combining video conferencing with other collaboration tools, Oz replied, “Think of it as beyond video,” using technology like computer vision and graphics.

Bassan-Eskenazi added that they’ve been working on CommonGround for more than year, so this isn’t just a response to our current stay-at-home environment. And the opportunity should still be massive as offices reopen next year.

“When we started this, it was a problem we thought some of the workforce would understand,” he said. “Now my mother understands it, because it’s how she reads to the grandkids.”

As for the funding, the round was led by Matrix Partners, with participation from Grove Ventures and StageOne Ventures.

“Amir and Ran have a bold vision to reinvent communications,” said Matrix General Partner Patrick Malatack in a statement. “Their technical expertise, combined with a history of successful exits, made for an easy investment decision.”



from TechCrunch https://ift.tt/3mVoXv6
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT