Side-by-side comparison of AI visibility scores, market position, and capabilities
Ravio is a real-time compensation benchmarking platform for European tech companies, raised £10M+ and based in London.
Ravio was founded in 2021 in London and raised over £10M to address a specific gap in the European compensation market: the absence of a real-time, European-focused compensation benchmarking platform built for modern technology companies. Traditional compensation surveys publish data annually and lag actual market movements by months, while US platforms have limited and often unrepresentative data for European markets. Ravio built a continuous data contribution model where participating companies submit HRIS data automatically and receive live benchmarking in return.\n\nThe platform provides compensation benchmarking for roles across seniority levels, geographies, and company types within the European tech ecosystem, covering countries including the UK, Germany, France, Netherlands, and Sweden. HR and total rewards teams use Ravio to benchmark individual roles, audit their existing pay ranges for competitiveness, and build compensation bands grounded in current market data rather than stale survey results.\n\nRavio differentiates from Figures, its closest direct competitor, through the depth of its HRIS integration-based data collection and its focus on a real-time data model. The company targets HR leaders at Series A through growth-stage European technology companies that are formalizing their compensation programs and need reliable local benchmarking data to build credible pay structures.
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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