All Ears
All Ears is a company.
Active
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Financial History
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Leadership Team
Key people at All Ears.
All Ears is a company.
Key people at All Ears.
Key people at All Ears.
All Ears is a Stockholm-based SaaS startup founded in 2016 that builds an AI-powered platform for monitoring and analyzing spoken media, including podcasts, radio, TV, YouTube, TikTok, and social platforms like Facebook, Instagram, and Twitter.[1][2][3][5][6] It serves global brands such as Walmart, Canon, and Hertz by transcribing audio/video content (back to 2006), delivering instant alerts, sentiment analysis, crisis detection, and actionable insights in over 12 languages, solving the problem of unsearchable spoken conversations in a voice/video-dominated media landscape.[1][2][5][6] The company has demonstrated strong growth, with 140% turnover increase in the year prior to its $6M funding round in 2022 (led by Bonnier Ventures and Alfvén & Didriksson), and plans for U.S. expansion including a New York office.[1][2]
All Ears was founded in 2016 by Tor Rauden Källstigen and Håkan Waara, AI and media experts who identified a critical gap: while text and visual media were trackable, the exploding spoken media ecosystem—podcasts, TikTok, YouTube—was overlooked.[2][5] Originally named Signal Signal, the Swedish startup (registration 559075-2100) participated in the Sting accelerator's 2017 cohort, gaining early validation in AI, SaaS, and media monitoring.[3][4] Pivotal early traction came from its machine learning tech for brand presence tracking, leading to Bonnier Capital investment in 2019 and the 2022 $6M round amid 140% growth, with Jonas Lönnquist as CEO and Victor Bodin as key backer contact.[1][2]
All Ears rides the surge in spoken web trends, where podcasts, short-form video (TikTok/YouTube), and audio-first content now dominate consumption, yet lacked searchable analytics amid AI transcription advances.[5][6] Timing aligns with post-2020 voice media boom and real-time monitoring needs for brand reputation in fragmented channels, fueled by market forces like rising influencer marketing, crisis PR demands, and multimodal AI (e.g., speech-to-text accuracy improvements).[1][4][6] It influences the ecosystem by democratizing spoken data for competitive intelligence, akin to text tools like Brandwatch, enabling proactive strategies in advertising, media, and big data sectors while bridging Nordic innovation to global markets.[2][3][5]
All Ears is poised for accelerated U.S. and international growth post-2022 funding, leveraging its AI edge in real-time, multilingual spoken analytics amid escalating audio/video content volumes.[1][2][6] Trends like generative AI for deeper sentiment, Web3 audio platforms, and regulatory pushes for transparent media monitoring will shape its path, potentially expanding into enterprise crisis AI or influencer tracking. Its influence may evolve from niche SaaS to ecosystem standard, empowering brands in a conversation-first world—turning "all ears" into a competitive superpower, much like its founding vision of making speech as actionable as text.[5]
