Side-by-side comparison of AI visibility scores, market position, and capabilities
Lano is a global payroll consolidation and contractor management platform, connecting HR teams with local payroll providers in 150+ countries.
Lano was founded in 2018 in Berlin, Germany and raised over $35M to build a global payroll aggregation layer that solves a distinct challenge from full EOR platforms: helping companies that already have local legal entities in multiple countries consolidate payroll data, payments, and reporting across their existing network of local payroll providers. Rather than replacing those providers, Lano connects to them via integrations and API, presenting a single view of global payroll in one interface.\n\nThe platform also provides contractor management capabilities, allowing companies to onboard, manage, and pay independent contractors across 150+ countries with compliant contracts and consolidated payment runs. Lano's payment infrastructure handles multi-currency disbursements, FX conversion, and local payment methods, removing the friction of managing international contractor payments through traditional bank wire processes.\n\nLano targets mid-market and enterprise companies with established international operations and existing payroll vendor relationships, positioning itself as the coordination layer on top of their current setup rather than a replacement. This differentiated positioning puts Lano in a distinct competitive space from pure-play EOR vendors, competing instead with global payroll aggregators like CloudPay and Immedis while also serving the contractor management use case that overlaps with platforms like Deel and Remote.
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.
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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