Blacklane vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Blacklane

GrowthTravel & Hospitality

Ground Transportation

Premium global chauffeur platform; $65M Series G raised Oct 2024; ~$75M annual revenue. Acquired by Uber in March 2026. 50+ countries, 100K+ rides/month.

About

Blacklane is a Berlin-based premium chauffeur booking platform founded in 2011 by Jens Wohltorf and Frank Steuer. The platform connects business and luxury travelers with professional, vetted chauffeurs in 50+ countries and 250+ cities worldwide, offering airport transfers, hourly bookings, and intercity rides through web, mobile app, and B2B API integrations. Blacklane operates a marketplace model—working exclusively with licensed local chauffeur companies rather than owning its own fleet—enabling global coverage with local quality standards.\n\nBlacklane targets premium business travelers, high-net-worth individuals, and corporate travel managers. Its B2B API and white-label integrations are used by major airlines (Lufthansa, Qatar Airways), hotel concierge platforms, and travel management companies to offer seamless door-to-door ground transportation. The platform's carbon-neutral rides initiative and EV-first fleet direction resonated strongly with ESG-focused corporate clients.\n\nBlacklane raised $65 million in a Series G round in October 2024, bringing total funding to approximately $127M. Annual revenue reached approximately $75M as of late 2025, with a team of 630 employees across 6 continents. In a landmark exit, Blacklane was acquired by Uber on March 30, 2026, accelerating its integration into Uber's global premium ground transportation strategy.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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