RevenueOperations.inc provides an AI-powered sales orchestration platform that helps B2B teams find and book meetings by dynamically building and tuning ideal customer profiles from CRM, call transcripts, and website data. The platform replaces fragile data-enrichment workflows like Clay with a self-learning system that composes columns automatically (e.g., deep person and company enrichment, real-time signals). It also offers free point tools for tasks like lead scoring and list qualification.
Funding
Funding not disclosed
Founders
Product
Problem
B2B sales teams rely on a fragmented stack of data providers, enrichment tools, CRMs, sequencers, and intent platforms that don't work well together. Hand-built workflows (e.g., in Clay) routinely break, return empty records, and never learn, forcing reps to toggle between multiple tabs to personalize a single message. This results in wasted time and poor pipeline outcomes.
Solution
RevenueOperations.inc offers a modular, AI-powered go-to-market platform that replaces the brittle data layer—specifically the hand-built enrichment workflows—while connecting to a team's existing tools like CRM, sequencers, and enrichment providers. It automatically creates and tunes its own data columns, extracting an ICP from historical closed deals and learning from prospect engagement and feedback to optimize targeting and messaging. The system acts as a copilot first, allowing users to review and approve actions, and can graduate to running outbound playbooks autonomously as it learns. The platform provides deep person and company enrichment, real-time change notifications, and social and signals data, all working with the goal of taking a team from zero to booked meetings.
Target Audience
Revenue Operations, Inc. targets B2B sales and revenue teams at companies with at least $1M in revenue, including heads of SDRs, Chief Revenue Officers, and independent RevOps consultants and studios who need to scale outbound efforts without losing signal.
Features
- Self-building and self-tuning data columns that learn from outcomes (closed deals, engagement) without manual workflow setup
- Modular architecture that integrates with existing CRM, enrichment, and sequencing tools, replacing only the brittle data layer
- Deep person enrichment including full employment history, verified emails/phones, and social profile monitoring for job changes
- Deep company enrichment with revenue estimates, org charts, review ratings, and headcount breakdowns by department and region
- Real-time change notifications and a Watcher API that triggers on events like job postings, funding rounds, and profile updates
- Social post and interaction data, including full LinkedIn post history and reactors, with cross-platform tracking across LinkedIn, X, and Reddit
- Composable signal rules to filter jobs, hiring, and funding data for custom go-to-market workflows
- Free standalone tools for ICP creation, account mapping, lead scoring, and list qualification