Akkari
Akkari is an AI execution system for customer operations that captures signals from conversations across Slack, email, and support threads, then autonomously executes follow-up work like drafting emails, opening tickets, and creating pull requests. The platform integrates with Slack, code editors, and terminals via MCP and CLI, and learns from each outcome to improve future execution.
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Customer operations teams lose critical information across scattered conversations in Slack, email, and support threads, leading to missed commitments, untracked blockers, and delayed responses. Manually triaging signals like feature requests, API issues, and upsell opportunities consumes significant time and allows high-value accounts to slip through the cracks.
Solution
Akkari is an AI execution system that continuously captures every signal from customer conversations and threads, then prioritizes actions based on account context and business impact. The platform autonomously executes the actual work—drafting follow-up emails, opening tickets, creating pull requests, provisioning access, updating Linear, and scheduling meetings—until each loop is closed. Akkari integrates directly into Slack, code editors like Cursor, and terminals via MCP and CLI, allowing teams to query account state and trigger automations from their existing workflows. The system learns from every outcome, updating its memory to improve future execution and provide a persistent operational context for each account.
Target Audience
Primary users are customer operations, sales, and success teams at B2B SaaS companies who need to manage high-volume customer interactions and close expansion opportunities efficiently.
Features
- Autonomous signal capture from conversations and threads, detecting commitments, requests, blockers, issues, risks, and next steps, both explicit and implied
- Prioritization engine that resolves open items against account context and business impact, triaging blockers before upsell opportunities
- Agent execution that drafts replies, creates PRs, provisions access, updates Linear, and schedules meetings without human intervention
- Slack integration for natural-language queries like "@akkari what's open at Mercury?"
- MCP & CLI support for Claude Code, Cursor, and terminal-based workflows
- REST API endpoints for accounts, stakeholders, commitments, and signals to build custom dashboards and automations
- Memory system that captures outcomes and learns from each executed loop, improving future performance