Side-by-side comparison of AI visibility scores, market position, and capabilities
AI endpoint security running ML models locally on devices; $40M raised (March 2026); reduces alerts 90%. Tel Aviv-based; founded 2024; Fortune 500 clients; edge-native architecture eliminates cloud latency for real-time threat response.
Bold Security is a Tel Aviv-based cybersecurity company founded in 2024 to reimagine endpoint protection using on-device AI. Rather than routing threat detection through cloud infrastructure, Bold's technology runs machine learning models locally on each device, enabling real-time threat response without latency or data exfiltration risks. This edge-native architecture is especially relevant for enterprises with strict data residency requirements or air-gapped environments.\n\nThe Bold platform targets enterprise security operations teams overwhelmed by alert fatigue. By running AI inference on-device, it filters and correlates endpoint signals before they reach the SOC, reducing alert volume by up to 90%. This dramatically cuts analyst workload and accelerates mean time to response. The company's Fortune 500 client base underscores its ability to meet the security, scalability, and integration demands of large organizations.\n\nFounded in 2024 and already serving Fortune 500 clients, Bold Security raised $40M in March 2026 — a significant financing round for a two-year-old company that reflects strong market pull for its on-device AI approach. As enterprises grapple with increasingly sophisticated endpoint threats and tighter privacy regulations, Bold's architecture offers a compelling alternative to cloud-dependent EDR platforms, positioning it as a fast-rising challenger in the $20B+ endpoint security market.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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