About Raylu

Raylu is an AI dealflow platform purpose-built for private market investors – PE, VC, growth equity, IB, and M&A teams – who need to move from investment thesis to qualified opportunities in minutes, not days. Built by former Insight Partners investors and engineers, the platform runs agentic LLMs across tens of thousands of live web sources to produce market maps, company profiles, and signals at production scale. As Raylu’s enterprise client base grew, the operational demands on its web access infrastructure began to outpace what its existing setup could reliably deliver.

The challenge

Raylu’s value proposition depends on one thing: delivering fully-researched market landscapes, fast. But as demand scaled, the team hit a ceiling. Their initial web scraping setup couldn’t support the high concurrency required for live, parallel agentic research – meaning market landscapes that should have taken minutes were taking hours to produce.

Expanding data coverage compounded the problem: stitching together live scraping with prebuilt datasets was a manual, fragmented process that slowed time-to-insight and capped the platform’s depth. And because Raylu serves enterprise clients, every part of the stack had to meet SOC 2 compliance requirements – ruling out duct-tape solutions. The cost wasn’t just slow reports; it was a ceiling on how many clients Raylu could serve simultaneously and how defensible their product was against competitors.

Why Bright Data

Before committing, Raylu evaluated providers against three non-negotiable requirements:

• Concurrency at production scale – the ability to run hundreds of thousands of parallel sessions at peak without degradation
• Success rate and data quality – confident retrieval across complex, bot-protected sources with minimal failed lookups
• Enterprise security posture – SOC 2-aligned infrastructure that could pass institutional client due diligence without custom workarounds

Bright Data was the only solution that delivered all three.

What tipped the decision beyond the technical checklist was something harder to quantify: responsive, expert support at the integration layer. As their pipeline evolved – adding prebuilt datasets alongside live scraping, then custom extraction – that partnership meant they weren’t solving infrastructure problems alone:

“Support on technical options and availability through Bright Data has been paramount in unlocking more and more value for our customers. We have grown to really appreciate the level of support we were able to receive when needing new data or new solutions”

Nathan Ondracek, CTO & Co-Founder

The Results

The impact was immediate. With Bright Data powering its full pipeline – real-time agentic research through live scraping and historical enrichment – Raylu reduced market research delivery time from 2 hours to 15 minutes, an 8× improvement on the metric that defines their customer promise.

“Using pre-collected datasets in conjunction with live scraping using APIs was key to increasing customer value and speed up completion of our market landscapes.”

Nathan Ondracek, CTO & Co-Founder

Concurrency scaled from hundreds of sessions to hundreds of thousands at peak, enabling truly parallel agentic research across enterprise workloads. 
Data coverage doubled from 3 to 6 core sources, expanding the intelligence surface of every market map the platform produces.