Raylu accelerates AI-powered investment research with production-ready web access
About Raylu
Raylu is an AI dealflow platform for private market investors. It helps firms move from thesis to qualified opportunities in minutes by automating market mapping, 360-degree target intelligence and personalized outreach that integrates with existing CRMs, email and document systems.
Built by former investors and engineers at Insight Partners, Raylu serves private equity (PE), venture capital (VC), growth equity (GE), investment banking (IB), corporate development and mergers & acquisitions (M&A) teams using agentic LLMs and large scale research pipelines that utilize web data from tens of thousands of sources alongside customer data.
Using this data, the platform curates high quality market maps, company profiles and signals; maintains company level vector databases; and delivers reliable enrichment and research at production scale – leveraging orchestration, browsing automation and enterprise grade security.
Challenge
Raylu’s primary goal is to deliver deep, fully-researched market landscapes quickly and at scale. Achieving this requires high concurrency for live actions such as search and scraping, confidence in the quality of retrieved data and the ability to capture comprehensive company, people and market signals through custom extraction. Without large-scale parallelization and reliable data quality, these market landscapes would be narrower and slower to produce. Since its customers also expect SOC 2 compliance, Raylu needed its web access layer to meet strict security and control requirements from day one.
Solution
Raylu leverages Bright Data throughout its pipeline for real-time agentic research, both current and historical data enrichment, and comprehensive company data enrichment.
The team began with just the web scraper and was able to get up and running quickly, but soon realized that “using prebuilt scraping datasets in conjunction with live scraping was needed to increase customer value and speed up completion of our market landscapes.”
As their needs evolved, Raylu emphasized that “support on technical options and availability through Bright Data has been paramount in unlocking more and more value for our customers,” all while maintaining the level of security their clients require.
Why Bright Data
At first, Raylu prioritized concurrency and success rate when evaluating providers.
While concurrency and success rate were its most important evaluating criteria from the outset, Raylu notes that “we have grown to really appreciate the level of support we were able to receive when needing new data or new solutions,” Raylu explained. This support became an increasingly important factor as Raylu scaled and required new data integrations.
Ultimately the decision to choose Bright Data was sealed by three key factors: A robust proxy network , high concurrency and depth of accessible data – all of which supported the performance and control expected by its customers.
Results
- Concurrency increased from hundreds to hundreds of thousands sessions at peak, with tens of thousands as the typical operating range.
- Data coverage expanded, doubling core sources from 3 to 6.
- Time to produce a market landscape reduced from 2 hours to just 15 minutes.
Looking ahead
Raylu is currently working to add three new data sources to the platform; two of which are custom builds. This will expand the platform’s company coverage and unlock a new angle of employee data, while continuing to scale agentic research with steady success rates.
