Side-by-side comparison of AI visibility scores, market position, and capabilities
$21.2M revenue 2024 (up from $8.2M 2023); $66.5M total funding ($40M Series B Aug 2023); 178 employees; 115+ supported frameworks; customers: Veeva, Fortinet, 3M, Motorola; compliance operations leader
Hyperproof was founded in 2019 by Craig Unger, a former compliance technology executive, to solve the operational inefficiency of enterprise compliance programs — the manual, spreadsheet-heavy process of collecting evidence, mapping controls to frameworks, and managing audit workflows across overlapping regulatory requirements. The company built a compliance operations platform designed to make continuous compliance achievable: rather than scrambling for evidence before an annual audit, teams maintain a live compliance posture against multiple frameworks simultaneously through integrations that automate evidence collection from cloud infrastructure and SaaS tools.\n\nHyperproof's platform provides a centralized control library mapping to 115+ frameworks including SOC 2, ISO 27001, HIPAA, FedRAMP, PCI DSS, GDPR, and CMMC. Controls are mapped once and reused across multiple frameworks to eliminate redundant evidence collection. Automated evidence collection integrates with AWS, Azure, GCP, GitHub, Jira, and Okta to pull compliance artifacts without manual effort. Risk management, vendor assessments, and policy management modules extend the platform beyond audit readiness into broader GRC workflows. Customers include Veeva Systems and Flexport.\n\nHyperproof reported $21.2 million in revenue for 2024, up from $8.2 million in 2023 — a 158% year-over-year increase — and has raised $66.5 million in total funding with 178 employees. Rapid growth reflects expanding compliance obligations on technology companies as AI governance frameworks, FedRAMP requirements, and state privacy regulations layer on top of existing security certifications. Hyperproof's automation-first architecture enables compliance program scaling without proportional headcount growth.
$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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