Garba
Garba is an AI revenue platform that automates post-call sales work by drafting follow-ups, building decks, updating CRM fields, and generating proposals from actual deal context. The platform aggregates signals from calls, emails, and Slack into a shared revenue brain, with all outputs requiring user approval before sending. It also provides forecast reasoning across open deals and call scoring for sales managers.
- Sales Technology
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Sales teams spend hours after calls on manual administrative work—drafting follow-ups, updating CRM records, building decks, and preparing proposals. This post-call burden reduces time for actual selling, delays follow-ups, and leads to inconsistent or outdated pipeline data that undermines forecasting accuracy and coaching effectiveness.
Solution
Garba provides an AI revenue platform that automates post-call sales work by aggregating signals from calls, emails, and Slack into a shared deal context. The platform drafts context-aware follow-ups in the user's voice, builds branded and audience-tuned decks with relevant case studies, and writes proposals grounded in specific deal data rather than blank templates. It updates CRM fields including MEDDPICC and custom fields automatically, and runs agent reasoning across all open deals to provide forecast updates and flag slipping deals. All outputs require user approval before sending, ensuring the salesperson retains control over what goes out.
Target Audience
Primary customers are sales teams, sales managers, and customer success organizations in SaaS and public sector companies who need to reduce post-call administrative burden and maintain accurate pipeline data.
Features
- Context-aware follow-up drafting based on actual conversation content, written in the user's voice, delivered to drafts before the user closes their laptop
- Automated deck creation with brand system integration, audience tuning, and retrieval of relevant case studies
- Forecast agent with reasoning across 47 open deals, weighted by stage, history, and risk, flagging deals that are slipping
- Proposal generation pulled directly from deal context—right SKU, terms, and price—rather than blank templates
- MCP-native CRM auto-fill that writes to HubSpot, Salesforce, and Pipedrive, including MEDDPICC and custom fields
- Knowledge graph mapping 1,200 entities for call prep and deal intelligence
- Call scoring and coaching surfaces for sales managers to identify what top performers do differently