Stones AI develops “Reputational AI” that amplifies a company’s reputation across all customer‑facing channels while keeping humans in control of the messaging. The platform integrates with sales, support, security, and HR workflows to accelerate trust‑building at AI speed, ensuring teams can manage and protect their brand reputation in real time.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to maintain consistent, trustworthy reputations across multiple customer‑facing channels, especially as expectations for rapid, accurate responses increase. Manual processes in sales, support, security, and HR are time‑consuming and prone to error, leading to reputational risk and lost business opportunities.
Solution
Stones AI offers a Reputational AI platform that leverages large‑language models to accelerate reputation‑building tasks for sales, support, security, and HR teams while keeping final decisions under human control. The system integrates directly into existing workflows, providing AI‑generated drafts, suggestions, and risk assessments that humans can review, edit, and approve. By operating at AI speed, the platform helps companies protect and grow brand credibility without sacrificing oversight. The solution is designed for companies of any size that rely on reputation to win deals, retain customers, hire talent, and maintain compliance.
Target Audience
Primary customers are mid‑market and enterprise companies whose sales, customer support, security, and HR functions depend on maintaining a strong, trustworthy reputation.
Features
- Large‑language‑model engine that generates context‑aware content for sales pitches, support replies, security communications, and HR messages
- Workflow plugins that embed AI assistance into common tools (CRM, ticketing, security incident platforms, HRIS) for seamless adoption
- Human‑in‑the‑loop controls that require user review and approval before any AI‑generated output is sent or published
- Real‑time reputation risk scoring that flags language or claims that could damage trust
- Audit trail that records AI suggestions, human edits, and final decisions to demonstrate compliance and accountability