Side-by-side comparison of AI visibility scores, market position, and capabilities
Enterprise customer data platform using AI-driven identity resolution to unify fragmented customer records from disparate sources into actionable identity graphs.
Amperity is a Seattle-based enterprise customer data platform company that specializes in solving one of the hardest problems in customer data management: resolving and unifying customer identities across fragmented, inconsistent records from dozens of different source systems. Traditional identity resolution relies on deterministic matching — linking records that share an exact email or phone number — which fails when customers use multiple emails, old phone numbers, or inconsistent name spellings across loyalty programs, point-of-sale systems, e-commerce platforms, and call center records. Amperity's probabilistic ML models evaluate hundreds of attributes simultaneously to identify records that likely represent the same customer even without exact key matches, constructing a persistent customer identity graph that dramatically increases match rates compared to rules-based approaches. The unified customer profiles built on this identity foundation drive higher-quality audience segmentation, more accurate customer lifetime value models, and more effective personalization for paid media suppression and lookalike targeting. Amperity serves enterprise retailers, hospitality brands, and consumer companies including Alaska Airlines, Wyndham Hotels, Gap, and Under Armour that manage customer data spanning multiple brands, channels, and legacy systems. Founded in 2016, Amperity raised over $187M from investors including Tiger Global, Goldman Sachs, and Declaration Partners, competing with Reltio, Informatica, and LiveRamp in the customer data and identity resolution 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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