Clari
A revenue operations platform that uses AI to aggregate CRM and activity data, forecast pipeline with greater accuracy, and provide real-time deal inspection for sales leaders.
How RevOps teams use it
RevOps teams use Clari to replace subjective rep-submitted forecasts with AI-driven commit and best-case predictions, and to identify at-risk deals through engagement signals and historical patterns.
Example use case
e.g., A RevOps team uses Clari to run a weekly forecast call where the AI-predicted commit number is compared against rep roll-ups, with deal-level inspection for any gap exceeding 10% of quota.
Where it's used
Technical Disciplines
RevOps AI Engineer
Builds AI-powered tools and workflows that automate revenue tasks, surface insights, and reduce manual work across the sales, marketing, and CS stack.
ML Engineer
Builds machine learning models that power revenue predictions — from churn scoring and lead ranking to pipeline forecasting and pricing optimisation.
Industry Verticals
SaaS B2B
Subscription-based software sold to businesses. Long sales cycles, multi-stakeholder procurement, and recurring revenue tracked through ARR, NRR, and churn.
SaaS B2C
Subscription software sold directly to individuals. Self-serve, high volume, short cycles — revenue operations focused on activation, retention, and reducing involuntary churn.
Cybersecurity
Cybersecurity companies face compliance-gated buying cycles, MSSP channel complexity, and consumption-based licensing tied to endpoints or events — creating RevOps requirements driven by breach events and regulatory mandates rather than planned budgets.