Verea is an AI-native WhatsApp assistant for commercial teams that reads and acts across CRM, email, calendar, documents, and ERP systems through natural-language chat or voice notes. It eliminates manual data entry by executing actions directly in connected tools and confirming every change in the conversation thread. The platform is GDPR-compliant by default and includes a dual-layer memory that learns both company sales processes and individual selling styles.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial teams lose significant time to manual data entry across CRM, email, calendar, and ERP systems, often leaving call notes and follow-ups scattered in notebooks or forgotten entirely. This fragmented workflow leads to stale pipeline data, delayed reporting, and missed opportunities for managers who rely on inaccurate or outdated information.
Solution
Verea provides a WhatsApp-native AI assistant that lets sales professionals manage their entire workflow through natural-language text or voice messages. The AI interprets requests and writes directly into connected business tools—including HubSpot, Gmail, Outlook, Google Calendar, SAP, and Google Docs—without requiring users to open separate applications. Every action is confirmed in the chat thread, giving users a precise record of what changed and why. The platform features a dual-layer memory system: one layer learns how the company sells, while another adapts to individual selling styles, enabling increasingly relevant recommendations and summaries over time.
Target Audience
Primary users are sales representatives, account managers, and sales directors at B2B companies who need to reduce administrative overhead and maintain accurate, real-time pipeline data across their existing business tools.
Features
- Native WhatsApp interface with text and voice-note input, requiring no additional app installation or training
- Direct read-and-write actions across HubSpot, Gmail, Outlook, Google Calendar, Google Docs, SAP, and Slack
- Automatic CRM updates, meeting logging, quote preparation, and email drafting triggered by conversational requests
- Pre-meeting briefings that summarize recent interactions, open deals, and recommended next actions
- Dual-layer memory architecture that captures both organizational sales patterns and individual user preferences
- GDPR-compliant data handling with no model training on customer data and no data leaving company systems
- Verifiable action trail showing exactly what changed in each connected system after every request