Sterling
Sterling provides an AI agent platform that automates long-horizon revenue workflows such as renewals, expansion, and pipeline management. The platform's agent harness builds a data ontology from a company's CRM, product usage, support threads, and other sources, giving agents memory and company-specific evals to guide every action. Sterling offers specialized agents including a Customer Operator for renewals, a Growth Operator for pipeline and campaigns, and a Product Operator for deal-blocking fixes.
- AI Agents
- Sales Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Fast-growing companies struggle to manage revenue workflows that span weeks to months, such as renewals, expansion, and pipeline management. These long-horizon processes are complex, prone to delays, and often require coordination across multiple teams, leading to lost revenue and cold deals.
Solution
Sterling provides an AI agent platform that automates these long-horizon revenue workflows. The platform's agent harness constructs a data ontology from a company's CRM, product usage, support threads, and other sources, giving agents memory and context. Each agent action is evaluated against company-specific outcomes, such as deals, churn, and campaign results, before being deployed. This approach enables agents to plan renewals, adjust as usage shifts, re-engage cold deals, and turn usage growth into expansion quotes. The platform also offers specialized agents, including a Growth Operator for pipeline management and a Product Operator for deal-blocking fixes.
Target Audience
Primary customers are fast-growing companies, particularly those in B2B SaaS and technology sectors, that need to automate complex, multi-week revenue cycles and align revenue and product teams.
Features
- Data ontology engine that maps accounts, people, products, and revenue relationships from integrated data sources
- Company-specific evals that test every agent change against business outcomes like deals, churn, and campaign results
- Long-Horizon Agents that own renewals, risk, and expansion for every account, re-engaging deals before they go cold
- Growth Operator agent for managing pipeline, campaigns, and spend across channels
- Product Operator agent that owns deal-blocking fixes, roadmap priorities, and feature adoption
- Integration with calls and support threads, CRM, product usage, marketing data, and engineering tickets