NEW YORK – Today, Raylu, the AI-powered sourcing and research platform for private-market investors, announced its adoption of TurboPuffer, the high-performance vector database platform built for massive scale and low-latency retrieval.

This integration lets investment professionals instantly benchmark markets, surface overlooked winners, and compress diligence cycles as Raylu spins up and queries millions of per-company vector stores in real time, enabling free-form Q&A across thousands of private-market targets.

Turning Every Company Into Its Own AI-Searchable Knowledge Graph

For every company in its database, Raylu’s AI agents autonomously read and process everything available on the public web - from websites and press releases to social posts, job listings, and hundreds of Google results - so investors have the most informed, up-to-date view to make the best investments.

Each company’s content corpus, often totaling roughly 500 pages of unique material, is then embedded and stored in its own micro-vector database within TurboPuffer.

This architecture allows Raylu to deliver context-aware, source-grounded insights on individual companies — while simultaneously analyzing patterns across thousands of them at once.

“Raylu’s research depth is unlike anything we’ve seen - it reads everything about a company and gives us structured insights instantly. The speed and scale at which it operates are game-changing for sourcing.” said Rafael Carranza, Partner at Gram Asset Management

Massively Parallel Research for Private-Market Investors

Traditional AI search systems collapse under the weight of this scale — querying tens of thousands of companies with individualized data contexts is computationally intense. TurboPuffer’s distributed architecture enables Raylu’s agents to perform millions of semantic retrievals across these micro-vector stores, ensuring that investors can surface deep, context-rich intelligence with institutional-grade performance.

“TurboPuffer gives us the infrastructure to scale intelligence, not just storage,” said Nathan Ondracek, CTO and Co-Founder of Raylu. “Every company our users care about becomes its own living, AI-searchable knowledge base — and TurboPuffer lets us run millions of them in parallel, with sub-second latency.”

The integration accelerates Raylu’s mission to redefine how venture, growth, and private-equity professionals map markets, surface signals, and identify high-potential companies — powered by AI infrastructure built for hyperscale.

About TurboPuffer

TurboPuffer is a high-performance, serverless vector database platform designed for extreme scalability and real-time embedding retrieval. Trusted by leading AI infrastructure teams, TurboPuffer enables applications to store, query, and manage billions of embeddings efficiently with elastic compute and minimal latency.

About Raylu

Raylu is the AI platform purpose-built for private-market investors—empowering venture, growth, and private-equity firms to transform how they source and evaluate opportunities. Built by former Insight Partners investors, Raylu combines advanced AI agents, deep data integration, and institutional-grade security to automate market mapping, company research, and personalized outreach. The platform turns any thesis—niches, novel segments, or intersections—into a live, data-enriched landscape of qualified companies and crafts fund-calibrated emails in your voice to engage the right founders faster. Funds using Raylu consistently uncover more high-potential opportunities and see stronger cold-outreach engagement—freeing teams to focus on the deals that matter most.

For more information or to schedule a demo, contact sales@raylu.ai.