AI-powered videoconferencing platform Headroom raises $9M

Headroom, a startup growing AI-powered software program to make conferences ostensibly extra environment friendly, at this time introduced that it raised $9 million in funding led by Equal Alternative Ventures with participation from Gradient Ventures, LDV Capital, AME Cloud Ventures, and Morado Ventures. CEO Julian Inexperienced mentioned that the proceeds might be put towards product improvement and increasing the corporate’s workforce.

Through the pandemic, digital conferences grew to become the de facto methodology of collaborating and connecting — each inside and out of doors of the office. The momentum isn’t slowing down. A 2020 IDC report projected that the videoconferencing market would develop to $9.7 billion in 2021, with 90% of North American companies prone to spend extra on it. However in an interview with TechCrunch, Inexperienced argued that videoconferencing because it exists for many firms at this time merely can’t substitute the intimacy of small, targeted assembly teams. He pointed to a Harvard Business Review survey, which revealed that 65% of senior managers felt conferences saved them from finishing their very own work whereas 64% mentioned that they got here on the expense of “deep pondering.”

“The legacy videoconferencing gamers are struggling to innovate throughout the disruptive shift from client-based messaging architectures to low-latency, hardware-accelerated, cloud-based real-time AI on real-time communication streams,” Inexperienced mentioned through e mail. “There was a gradual rollout of AI options (e.g., captions, noise cancellation), although all acknowledge that AI options are demanded by customers and the way forward for digital conferences.”

Alongside Andrew Rabinovich, Inexperienced launched Headroom (to not be confused with Max Headroom) in 2020 to handle what he perceives because the excellent blockers within the videoconferencing business. Inexperienced was beforehand the director at Google’s experimental X division and co-cofounded Houzz, a web-based inside design platform. Rabinovich was the top of AI at Magic Leap, the well-funded augmented actuality startup, and previous to that he was a Google software program engineer targeted on pc imaginative and prescient.

“[We] wished to allow distant work by making conferences good and making assembly info helpful,” Inexperienced mentioned. “Headroom competes with the fragmented videoconferencing and assembly instruments that individuals patch collectively to affix, take notes in and ship recaps of conferences … Having a shareable institutional reminiscence of conferences reduces assembly duplication, and repetition, which is a significant drag on enterprise productiveness and worker happiness.”

Headroom makes use of AI to energy options like computerized transcripts and assembly summaries, which stay indexable after conferences with search filters for attendees, notes and matters. The platform affords full assembly replays and auto-generated spotlight reels with key moments and motion objects, plus AI-powered upscaling and fast reactions like “thumbs up” and “wave” that contributors can use throughout conferences.

However one of many extra distinctive issues about Headroom is its intensive analytics capabilities. The app tries to quantify “real-time assembly vitality” by analyzing video, audio and textual content of and from numerous attendees. It even tracks eye actions and hand and head poses, trying to determine the sentiment in an individual’s exchanges.


Picture Credit: Headroom

Sound just a little dystopian? Maybe. Setting that apart for a second, there’s the matter of bias, which makes sentiment evaluation an imperfect science at finest. For instance, research has proven that a number of the datasets used to develop sentiment evaluation algorithms affiliate phrases like “Black” with adverse sentiments. The result’s methods which are extra prone to flag a Black particular person’s speech with problematic descriptors (e.g., “unhappy”) than a white particular person’s.

Advocacy teams usually aren’t bullish on sentiment monitoring. When Zoom launched it as a function for gross sales coaching, 28 human rights organizations wrote an open letter to the corporate asking it to halt the software program, calling it “discriminatory, manipulative [and] probably harmful” — and stating that it’s primarily based on the flawed assumption that markers like voice patterns and physique language are uniform for all folks.

On the privateness entrance, Inexperienced mentioned that solely individuals who’ve been given entry to the analytics information, like fellow assembly invitees or these with the suitable permissions, can entry it by way of Headroom. (Knowledge is saved within the cloud; Headroom says it’s pursuing, however doesn’t but have, SOC 2 Type II certification.) Assembly organizers can select to limit assembly info additional amongst these they invite, and — maybe most significantly — any consumer can request to have their information deleted “in all varieties.”

Inexperienced mentioned that combating bias is an ongoing space of examine for Headroom as effectively, albeit a broad one. Whereas revealing little about Headroom’s sentiment evaluation applied sciences, he highlighted the platform’s efforts to make use of suggestions from assembly contributors to enhance its numerous algorithms, together with for assembly summaries.

“[Headroom quantifies] participant engagement with real-time wordshare, affecting computing and eye monitoring to provide all contributors an opportunity to have interaction to make sure extra equal and numerous conferences,” Inexperienced mentioned. “Headroom’s method to real-time assembly understanding is predicated on multimodal AI … Our mannequin leverages inductive bias to disambiguate nuances and seize key moments in conversations.”

Headroom’s insurance policies may not allay each would-be consumer’s fears. However one would possibly argue that the bigger risk to the corporate, not less than proper now, are household-name rivals like Microsoft Groups, Google Meet and Zoom. Nvidia threw its hat into the ring two years in the past with Maxine, which makes heavy use of AI to ship options like noise cancellation and face relighting. On the opposite finish of the spectrum, startups like and are taking the plug-in method, integrating with present videoconferencing platforms to drive assembly transcriptions and different “clever” options.


Picture Credit: Headroom

With a concentrate on development over revenue, San Francisco–primarily based Headroom, which has 14 workers, has remained free and with out utilization or storage caps since launch. Inexperienced says that it presently has round 5,000 customers — far in need of Zoom’s lots of of tens of millions. However he stresses that (1) Headroom isn’t essentially making an attempt to compete with platforms like Zoom, preferring to concentrate on the small- and medium-sized enterprise area of interest, and (2) it’s early days for the platform.

“The worldwide pandemic, distant work, and now a hybrid workforce confirmed us all the things that’s mistaken with conferences. Irrespective of your organization’s return to work coverage, distant groups want higher conferences and the power to look, evaluate and share assembly info,” Inexperienced mentioned. “The Headroom workforce experimented all through [the pandemic] on the best way to make conferences higher for distant groups, and is versatile to digital, hybrid, in particular person, synchronous and asynchronous. A hybrid workforce is the brand new norm, so Headroom will proceed to ship a platform that evolves with the place and the way individuals are working.”

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