The operating system
for RevOps.

GTM Intelligence Infrastructure is the foundation layer that sits beneath your tools - unifying data from CRM, email, calls, product, and support into one context layer with memory and reasoning capabilities. Unlike your CRM (which stores records), this creates a living GTM graph that understands your ICP, personas, win patterns, and customer journey - then powers AI workers to research, analyze, score, and orchestrate across your entire GTM stack. Think of it as the brain your tech stack has been missing.

We recommend a "Crawl → Walk → Run" approach. Crawl: Start with ICP/persona analysis and one high-value worker (typically churn detection or account enrichment) - this proves value in 2-4 weeks with zero disruption. Walk: Add scoring and a few more workers across sales and CS - you're now seeing compound benefits with minimal change. Run: Deploy full orchestration and cross-functional workflows once value is proven. This approach minimizes risk, builds internal champions, and lets you learn what works for your business before committing to transformation.

Point solutions like AI SDRs or workflow tools execute narrow, isolated tasks. Revenue Labs powers the intelligence layer beneath them - connecting signals across marketing, sales, and CS into unified context and memory. This means your GTM doesn't just automate activities; it learns from every interaction, compounds intelligence over time, and orchestrates smarter decisions across teams. We're not replacing your tools - we're making all of them smarter by giving them shared context and reasoning capabilities.

Most teams see measurable impact within the first 30 days: elimination of 4+ hours/week of manual research per rep, 20-30% improvement in account prioritization accuracy, and early identification of churn risks that were previously invisible. Over 3-6 months, customers typically see: 15-25% improvement in win rates (from better ICP targeting and contextualized messaging), 30-40% reduction in time spent on admin and reporting, and significant improvement in forecast accuracy. The system compounds - getting smarter and more valuable with every completed activity.

Yes - in fact, this is designed specifically for that reality. Revenue Labs doesn't just rely on CRM data; it actively enriches and corrects it by pulling from web sources, social signals, conversation intelligence, product usage, and support interactions. The system builds a more complete picture than what's in your CRM alone, then syncs enriched context back. Over time, data quality actually improves because workers continuously research and update records, and the intelligence layer identifies gaps automatically.

Workers meet teams where they already work - in CRM, Slack, email, and existing workflows. Reps don't need to log into another platform or change their process; they simply get better context in their existing tools and smarter alerts when it matters. For RevOps, you're not asking teams to adopt new behavior - you're reducing their manual work and giving them an information advantage. The value is immediate and visible: reps show up to calls prepared, opportunities get routed intelligently, and nobody misses critical account changes.

Building GTM Intelligence Infrastructure in-house typically takes 18-24 months of dedicated engineering effort, requires ongoing maintenance, and demands deep expertise in AI, knowledge graphs, and revenue operations. Most teams underestimate the complexity of: unifying messy GTM data, building reliable reasoning systems, maintaining 200+ integrations, and creating agents that actually improve business outcomes. Revenue Labs gives you production-ready infrastructure in weeks, not years - letting your eng team focus on product, not internal tooling. Plus, you benefit from learnings across dozens of GTM organizations, not just your own.

Revenue Labs is built with enterprise-grade security and maintains ISO 27001:2022 certification, demonstrating commitment to globally recognized information security standards. We're compliant with comprehensive data protection regulations including GDPR, CCPA/CPRA, PIPEDA, Japan's APPI, and Australia's Privacy Act.

We never train models on your proprietary data, and you maintain complete control over data access permissions. For organizations with specific requirements, we offer flexible data residency options (US, EU, or other regions) and can accommodate customer-controlled infrastructure deployments. We conduct annual third-party penetration testing and maintain 24/7 security monitoring.

Privacy is built in by design, with a 90-day retention policy and tools for managing consent, data deletion requests, and compliance reporting.

No - Revenue Labs enhances your existing stack, it doesn't replace it. We integrate with the tools you already use (Salesforce, HubSpot, Gong, Outreach, Gainsight, etc.) and make them dramatically smarter by giving them shared context and intelligence. Think of it as adding the operating system your GTM has been missing - your tools become the interface, and Revenue Labs becomes the brain that powers better decisions across all of them.

This isn't either/or - it's about leverage. Revenue Labs doesn't replace your RevOps team; it multiplies their impact by eliminating low-value busywork and giving them strategic intelligence instead of manual reporting. One RevOps leader with this infrastructure can support far more complexity than three people with traditional tools. You'll still need strategic RevOps leadership, but you won't need to scale headcount linearly with GTM complexity. Most customers redirect planned hires into higher-value roles (strategy, enablement) while the infrastructure handles operational execution.

Yes - this is exactly the type of complexity where traditional approaches break down and GTM Intelligence Infrastructure excels. The system can maintain separate (or shared) context for different products, regions, and business units while still enabling cross-functional learning. For example, win patterns from your EMEA team can inform AMER targeting, or insights from Product A can help identify expansion opportunities for Product B. The intelligence compounds across your entire GTM complexity rather than creating more silos.