Vega Security vs ElevenLabs
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-native security analytics platform using federated mesh architecture. $185M total raised at $700M valuation; serves Fortune 500 banks and healthcare firms.
About
Vega Security was founded to rethink enterprise security analytics from first principles, addressing the fundamental limitations of legacy SIEM and security data lake architectures that force organizations to centralize sensitive data, creating both compliance risk and single points of failure. The company's founding insight was that a federated mesh architecture — where AI-driven analytics operate at the data source rather than after centralization — could deliver superior threat detection while preserving data residency and privacy requirements that regulated industries demand.\n\nVega Security's AI-native platform deploys analytics agents across an organization's distributed data environment, correlating signals from endpoints, networks, cloud environments, and applications without requiring data to leave its source systems. This federated approach is particularly valuable for financial institutions and healthcare organizations that operate under strict data governance frameworks and cannot consolidate sensitive information into third-party SIEM platforms. The platform's AI engine continuously learns from the organization's specific threat landscape, reducing false positive rates and improving detection accuracy over time.\n\nVega Security has raised $185 million in total funding and achieved a valuation of $700 million, reflecting strong investor conviction in the federated security analytics category. The company serves Fortune 500 banks and major healthcare organizations — customers with the highest data governance requirements and the largest security budgets. As regulatory pressure on data residency intensifies globally and AI-powered attacks grow more sophisticated, Vega Security's architecture and enterprise customer base position it as a leading platform in the next generation of enterprise security infrastructure.
$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.
About
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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