Updates, insights and thinking from the team.

Waterfall Data Vendors Are Poisoning Your AI Agents (And You Won't Know Until It's Too Late!)

Waterfall data vendors aggregate multiple sources without ongoing verification, creating untraceable errors that poison AI agent training loops. Without data provenance and verification timestamps, broken AI workflows cannot be debugged or fixed.

November 2025 Release Notes

November 2025 release introduces self-serve email verification portal and "Verified by RevenueBase" field showing verification timestamps for every contact record. Database now includes 330 million contacts with multi-position email support for individuals holding concurrent roles.

Why We Don't Meter Core Data at RevenueBase

RevenueBase provides unlimited access to core company and contact data without metering because usage limits prevent teams from building effective AI workflows. Removing data constraints allows optimization for business outcomes rather than API call rationing.

October 2025 Release Notes

October 2025 database update includes 326 million business contacts and major improvements to job title classification across 100+ languages. New logo URL field and enhanced persona mapping now covers 196 million contacts.

How We Fixed 250 Million Job Title Classifications

RevenueBase classified 250 million people across 50 million job titles using context-aware analysis of geography and industry. Traditional keyword-based systems fail because titles like "Executive" or "Director" mean completely different seniority levels across countries.

Accuracy is Your Moat in Agentic GTM

Autonomous GTM agents require perfectly accurate data because they cannot improvise around errors like humans can. When agents act on stale or incorrect information at machine speed, small data errors multiply into massive workflow failures.

Credit-Based Data Pricing is Starving Your Agents

Credit-based data pricing models break when AI agents consume data continuously at scale rather than in human-sized batches. Unmetered access to core company and contact data becomes essential for AI workflows to function without artificial constraints.

Why Your AI GTM Tool Will Fail with Traditional B2B Contact Data

AI GTM tools fail with traditional B2B contact data because 30% of contact information becomes outdated annually, breaking automated workflows. Unlike human sales teams that can adapt to bad data, AI systems need live data streams and unlimited access rather than static lists with credit-based pricing.

September 2025 Release Notes: Quality over Quantity

RevenueBase's September 2025 release prioritized data quality over quantity, removing 9.2 million outdated contacts and implementing enhanced email-pattern matching. The update retired contact records with no LinkedIn updates in 12+ months while expanding email coverage across additional companies.

August 2025 Release Notes: 5M+ new contacts, 2M+ new B2B emails

RevenueBase's August 2025 release added 5 million contacts and 2 million business emails, reaching 328 million total contacts. The update fixed cross-table relationship bugs, enhanced email coverage, and improved fill rates for contact skills, languages, and certifications data.

Laxis AI Sales Agents Integrate with Revenuebase to Automate and Accelerate Sales

Laxis AI Sales Agents automate prospect research, outbound outreach, and meeting follow-ups using RevenueBase's 325 million contact database. The platform addresses sales inefficiency by handling non-selling activities that consume 65% of sales professionals' time, allowing focus on relationship building and deal closing.

How Gigasheet Powers RevenueBase Data Delivery

Gigasheet delivers RevenueBase's 294 million contact database through a spreadsheet-like interface backed by ClickHouse, handling 57 billion data points monthly. The platform enables complex queries with 100+ filter clauses without requiring SQL knowledge, giving business users unrestricted access to massive datasets.