Rsquared AI provides production‑grade AI agents that embed in existing sales stacks such as Salesforce, Dynamics 365, and HubSpot. The agents continuously listen to calls and emails, automatically capture activity, update CRM records, and deliver real‑time deal health scores, risk alerts, and expansion insights, enabling sales teams to maintain accurate forecasts and identify pipeline opportunities without manual data entry.
Funding
Funding not disclosed
Founders
Product
Problem
Sales teams often fail to log activities promptly, leading to outdated CRM data, inaccurate forecasts, and hidden pipeline risks. Additionally, disparate tools such as CRM, call recording, and analytics platforms operate in silos, preventing a unified view of deal health and expansion opportunities.
Solution
Rsquared AI delivers production‑grade AI agents that embed within existing sales stacks (e.g., Salesforce, Dynamics 365, HubSpot) and continuously listen to calls, emails, and other interactions. The agents automatically capture activity, update CRM records, and generate real‑time deal health scores and risk alerts based on conversation analysis, engagement patterns, and historical win/loss data. By consolidating signals from multiple sources into a single intelligence layer, the platform surfaces at‑risk deals and identifies whitespace for cross‑sell and renewal opportunities within weeks of deployment. The resulting data stream feeds into downstream tools such as Power BI, Snowflake, and Slack, enabling sales leaders to act on accurate, up‑to‑date insights without manual data entry.
Target Audience
Primary customers are B2B sales organizations and revenue operations teams that rely on Salesforce, Dynamics 365, or HubSpot and need automated activity capture, accurate forecasting, and actionable pipeline insights.
Features
- AI agents that listen to sales calls and emails, auto‑capturing activity and synchronizing it to integrated CRMs
- Real‑time deal health scoring using conversation analysis, engagement metrics, and win/loss history
- Automated risk alerts that flag at‑risk opportunities before they stall
- Expansion intelligence that identifies 15–30% additional pipeline from existing accounts by analyzing usage, contract timelines, and engagement signals
- Unified intelligence layer that aggregates data from CRM, call recordings, email, and external analytics tools
- Seamless integration with Salesforce, Dynamics 365, HubSpot, Power BI, Snowflake, and Slack via auditable, no‑code connectors
- Rapid deployment timeline of 6–8 weeks from discovery to production, eliminating lengthy migration projects