Side-by-side comparison of AI visibility scores, market position, and capabilities
Computer vision API reading at-home lateral flow test photos for 40+ test types; $3M revenue with 5-person team enabling telehealth result verification for COVID, flu, and STD tests.
Scanbase is a healthcare technology company providing a computer vision API that enables medical and consumer health companies to analyze at-home diagnostic test results through smartphone photos — reading lateral flow tests (the strip-based rapid tests used for COVID-19, flu, RSV, strep, pregnancy, and STDs) and returning structured results that can be recorded in health apps, telehealth platforms, and clinical systems. Founded in 2022 in San Francisco and a Y Combinator W23 graduate, Scanbase raised $2.5 million from Dupe Ventures and Liquid 2 Ventures, achieving $3 million in revenue in 2024 with a 5-person team.\n\nScanbase's API integrates into health apps, telehealth platforms, and employee health programs — when a user takes a photo of their at-home test strip, the API analyzes the image to detect control line and test line presence/intensity, returning a validated result (positive, negative, invalid) with confidence scores. This replaces manual result entry (prone to misinterpretation) and photo review by human staff with automated, consistent computer vision interpretation. The API covers 40+ test types including COVID-19, flu A/B, RSV, pregnancy, and various STD tests.\n\nIn 2025, Scanbase competes in the digital diagnostics and at-home testing technology market with Sight Diagnostics, LumiraDx, and platform-specific solutions built by major diagnostics companies for at-home test result interpretation. The COVID-19 pandemic permanently expanded at-home testing adoption, creating a large installed base of consumers comfortable with lateral flow tests and a growing need for digital result capture and verification in telehealth workflows. The $3M ARR with a 5-person team demonstrates exceptional capital efficiency. The 2025 strategy focuses on expanding the test coverage library, growing integrations with telehealth and employee health platforms, and adding verification workflows for use cases where authenticated test results are needed (insurance claims, return-to-work programs).
$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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