Revenue Labs gives sales teams AI workers that handle the admin, prep every meeting, learn from every deal, and multiply your best reps' impact; without hiring.
We've worked with GTM teams at:
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— VP of Sales, Series C SaaS
Einstein and Gong analyse what happened after the fact. Revenue Labs learns from every deal in real-time and automatically takes action; prepping meetings, updating CRM, flagging risks, and coaching reps on what works. It's not just insights; it's a system that learns from your wins and multiplies top performer impact across the team.
Reps don't need to "use" anything new. AI workers operate where reps already work—Slack shows meeting briefs, Salesforce auto-updates with deal context, pipeline reviews prep themselves. No new logins, no dashboard hunting. Reps just get more context and less busywork.
No. Revenue Labs learns from your sales process; analysing which stages, activities, and objection-handling approaches actually drive wins. It then codifies what works and helps struggling reps execute the playbook your top performers already follow.
Most teams see impact within 30-60 days: CRM admin drops 80%, meeting prep time falls 60%, and forecast accuracy improves 40%+. Rep performance improvements (quota attainment, win rate) typically show within one quarter as the system learns what predicts wins.
Revenue Labs doesn't require perfect CRM hygiene to start. It pulls context from meetings, emails, calls, and sequences at source; then enriches your CRM automatically. Over time, data quality improves because reps aren't manually logging everything; the system captures it from their actual work.
Yes. The system maps stakeholder relationships, tracks champion health, identifies economic buyer engagement, and flags when decision-maker access is weak. Complex deals benefit most because there's more context to capture and more patterns to learn from.
The system identifies exactly where reps struggle; poor discovery, weak objection handling, slow follow-up—based on deal outcomes. It surfaces coaching opportunities automatically, provides examples from top performers, and tracks improvement over time. Managers coach with data, not gut feel.
No. We handle integration, modelling, and infrastructure. Your sales team focuses on selling. If you want to customise deal scoring, adjust win/loss analysis, or refine what the system learns from, we do that for you—no code required.
It becomes automatic and continuous. Every closed deal—won or lost—feeds into the system. AI analyses why deals close, which objections kill opportunities, and which activities predict success. Your entire team learns from every outcome, not just quarterly retrospectives.
The system scores deals based on actual win patterns from your business; stakeholder engagement, deal velocity, objection frequency, champion strength. It flags deals likely to slip before pipeline reviews, improving forecast reliability by 40%+ within the first quarter.
AI workers auto-log meeting notes, update deal stages, capture next steps, and enrich account records by listening to calls, reading emails, and tracking sequences. Reps get credit for their work without manual data entry. CRM updates happen automatically, continuously, accurately.
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