Side-by-side comparison of AI visibility scores, market position, and capabilities
Drone-based warehouse inventory. 99.9% accuracy, 80% less manual counting. $74M raised ($40M Series B Feb 2026). Carnegie Mellon spinout. 250% bookings growth.
Gather AI is a warehouse automation company that uses autonomous drones to conduct inventory counts with a level of accuracy and frequency that manual processes cannot achieve at comparable cost. A spinout from Carnegie Mellon University, the company was founded on robotics and computer vision research that enables drones to navigate complex warehouse environments, read barcodes and RFID tags, and build precise inventory maps without requiring warehouse modifications or dedicated human operators to supervise each flight.\n\nThe Gather AI system delivers 99.9% inventory accuracy and reduces manual counting labor by 80%, enabling warehouse operators to conduct cycle counts far more frequently than traditional quarterly or annual physical inventories allow. Higher-frequency inventory data directly improves operational efficiency: it reduces stockouts, prevents overordering, accelerates order fulfillment, and gives supply chain teams the real-time visibility they need to respond to demand shifts and supply disruptions. The system is designed to operate during normal warehouse hours without disrupting ongoing picking and fulfillment operations.\n\nGather AI raised $40 million in a Series B in February 2026, bringing total funding to $74 million, and has achieved 250% year-over-year growth as warehouse operators accelerate automation investment. The company is operating in a warehouse automation market driven by e-commerce growth, labor cost inflation, and increasing supply chain complexity. Drone-based inventory, once a proof-of-concept, has matured into a commercially proven solution that Gather AI is deploying at scale across distribution centers, 3PLs, and retailers seeking to modernize their inventory management without capital-intensive fixed 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.
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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