Lusha vs Adept AI

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

Lusha

GrowthSales Tech

B2B Contact Data

B2B contact intelligence platform providing verified direct dials, emails, and company data for sales and recruiting teams.

About

Lusha is a Tel Aviv and Boston-based B2B contact data platform that provides sales reps, recruiters, and marketers with verified direct phone numbers, email addresses, and company firmographic data for prospecting and outreach. The platform's Chrome extension enriches LinkedIn profiles, company websites, and CRM records in real time with contact information, enabling SDRs and recruiters to reach decision-makers directly rather than through gatekeepers. Lusha is built around data quality — its contact verification engine continuously validates and updates records, achieving higher connect rates than bulk-purchased contact databases. The platform integrates with Salesforce, HubSpot, Outreach, and Salesloft, feeding enriched contact data directly into existing sales workflows. Founded in 2016, Lusha reached profitability and unicorn status in 2021 after raising over $200M from investors including Bessemer Venture Partners. With over 1 million users globally, Lusha has grown into one of the largest self-serve B2B contact data platforms, competing with ZoomInfo and Apollo.io in the sales intelligence market.

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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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