
Kiwi
Kiwi is a GTM agent runtime that lets teams build, run, and continuously improve autonomous workflows on trusted, versioned data. The platform syncs directly with tools like Gmail, Slack, and Salesforce, cites every data source behind each agent claim, and requires human approval before any external action is taken.
- AI Agents
- Sales Technology
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Go-to-market teams struggle to trust AI agents because the underlying CRM and sales data is often stale, incomplete, or inconsistent across tools. This data drift—where the record lags behind the actual work—causes agents to hallucinate, make decisions on outdated information, and erodes confidence in automation.
Solution
Kiwi provides a GTM agent runtime that guarantees reliability by building, running, and improving autonomous agents on a single versioned record of the team's data. The platform syncs data directly from a company's GTM stack—including Gmail, Slack, Salesforce, Gong, and more—so every agent call runs on correct, complete, and consistent context. Users describe a workflow in natural language, and Kiwi automatically drafts the agent steps, tool integrations, and human checkpoints. Every claim an agent makes cites the underlying data source and SQL query, and runs halt when required data is stale or missing. Sensitive actions like sending emails or creating calendar events require named-person approval, and every decision feeds back to improve the agent over time.
Target Audience
Primary customers are go-to-market teams—including sales, post-sales, and revenue operations—who want to build AI-native agentic systems they can trust and scale across their existing tool stack.
Features
- Natural-language workflow builder that auto-generates agent steps, tool integrations, and human checkpoints
- Versioned data lake with connectors that pull from GTM tools every 10 minutes plus on-demand refresh
- SQL-cited outputs where every fact traces back to the exact query and data snapshot behind it
- Checkpoint system requiring named-person approval before any write-back to connected tools
- Self-improving skill library with automatic deduplication, consolidation, and flagging of stale workflows
- Replayable runs against exact data snapshots to compare answer changes and identify which rows moved