At Havens Group, we rethink how compensation data is sourced, analyzed, and delivered. Traditional salary surveys are slow, narrow, and often outdated by the time they hit your desk. We don’t wait. We tap into Perplexity AI’s cutting-edge architecture—built for real-time data retrieval, deep contextual understanding, and seamless integration with enterprise tools—to give you a faster, smarter view of the market. Perplexity pulls live data from sources like Glassdoor, PayScale, and Built In, while also scanning financial platforms such as FactSet and Crunchbase for high-level executive benchmarks. Its retrieval-augmented generation (RAG) models surface insights from millions of data points—with citations for every claim, so you always know where the data comes from. But we don’t stop there. We layer this with benchmark data from trusted sources like Mercer, Korn Ferry, Willis Towers Watson, and Salary.com. Then, we run it through conversational analysis powered by ChatGPT and deep web indexing from Google. The result? A powerful, multi-sourced ecosystem that sees pay shifts and market movements months before they show up in formal surveys. This approach lets us cross-check every data point, spot local trends, and deliver highly specific, fully defensible compensation recommendations. Whether you’re pricing a new role, planning executive pay, or navigating a competitive talent market—Havens Group equips you with the intelligence to act with confidence.