Stalar
Stalar is an AI-powered revenue platform that automates the full sales workflow, from prospecting and outreach to CRM updates and deal scoring. The platform analyzes sales conversations to surface deal risks and next steps, with every action traceable to either a human rep or an AI agent. It includes an MCP server for integration with AI agents like Claude, Cursor, and ChatGPT, plus a library of twelve open skills covering the selling week.
- Sales Technology
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Sales teams spend excessive time on manual CRM data entry, deal administration, and administrative follow-ups, which diverts attention away from actual selling. Leaders lack real-time visibility into deal health and team performance, while reps struggle to prioritize the next best action across a fragmented set of accounts and outreach channels.
Solution
Stalar provides an AI-powered revenue platform that automates the entire sales workflow, from prospecting and outreach to CRM updates and deal scoring. The platform analyzes sales conversations to surface deal risks, next steps, and account insights, then drafts sequences, call briefs, and follow-up emails in the user's voice. Every action taken in the system is traceable to either a human rep or an AI agent, giving leaders a complete audit trail and real-time view of team performance. Stalar also offers a Model Context Protocol (MCP) server so AI coding and chat agents can directly execute sales tasks, while a library of twelve open skills covers the full selling week from list building to meeting follow-up.
Target Audience
Primary users are sales and revenue leaders, closers, and hunters at B2B companies, as well as AI agent developers who want to integrate sales execution capabilities into their existing agent workflows.
Features
- Automated CRM upkeep with every call, email, and deal update logged without manual entry
- Deal scoring and risk detection based on actual conversation content rather than rep-reported data
- Agent attribution layer that traces each action to a rep or AI agent for full accountability
- MCP server integration enabling AI agents (Claude, Cursor, VS Code, Codex, ChatGPT) to connect and operate within the workspace
- Pre-built skill library covering prospecting, lead lists, contact finding, outreach campaigns, email replies, meeting prep, and follow-up
- Prospecting engine that builds lists with verified emails and phone numbers, and drafts sequences in the user's voice pending approval
- Preview-and-confirm workflow for all sends, spends, and deletes to keep human oversight over agent actions