Infer provides predictive analytics for RevOps and GTM teams by creating custom machine learning models that transform disparate data sources into actionable insights on churn, lead scoring, and forecasting. This technology enables teams to receive real-time alerts on key performance indicators, facilitating informed decision-making and optimizing revenue strategies.
Funding
Funding not disclosed
Founders
Product
Problem
Revenue operations and go-to-market teams struggle to synthesize insights from disparate data sources, hindering their ability to accurately forecast, identify churn risks, and prioritize leads effectively. Traditional methods often involve manual analysis and dashboards, which are time-consuming and fail to provide real-time, actionable intelligence.
Solution
Infer provides a predictive analytics platform that leverages custom machine learning models to transform siloed data into actionable insights for revenue operations and go-to-market teams. The platform analyzes historical data to identify key drivers impacting business outcomes, then uses generative AI to translate complex findings into easily understandable language. By integrating directly with CRM, ad platforms, and data warehouses, Infer delivers real-time alerts on key performance indicators, enabling proactive decision-making and optimized revenue strategies. This allows teams to understand the root cause of metric changes without deep dives and prioritize prospects most likely to convert.
Target Audience
Infer's primary customers are revenue operations and go-to-market teams in startups and enterprises seeking to improve forecasting accuracy, reduce churn, and optimize lead prioritization.
Features
- Custom machine learning model creation using a single SQL line
- Predictive lead scoring to prioritize high-potential prospects
- AI-powered sales forecasting integrated directly into CRM systems
- Real-time alerts on key performance indicators (KPIs) with root cause analysis
- Integration with major data connectors, including Snowflake, Azure, Google BigQuery, Salesforce, and HubSpot
- Generative AI-powered insights presented in everyday language
- Ability to track and measure the impact of predictions on key metrics