Kapa AI, a company known for its customer-facing "Ask AI" widgets, has officially launched its new "Internal Technical Assistant," designed to empower Go-to-Market (GTM) teams with deep product expertise. Announced by Emil, a representative from Kapa AI, the new offering extends the same AI capabilities trusted by over 200 companies, including Docker, Sentry, and Grafana, to internal operations. The goal is to enable GTM teams to become "product experts overnight," significantly enhancing their ability to answer technical questions.
The development of the Internal Technical Assistant was driven by consistent feedback from Kapa AI's existing customer base. According to Emil's announcement, users repeatedly expressed that "Our existing tools (ChatGPT, Gemini, Glean) don't understand our technical products anywhere as well as kapa on our docs." Customers also requested the ability to integrate internal data and a robust web interface with advanced features like file upload, deep thinking, and conversation history.
Responding to these demands, Kapa AI built a solution that connects to a wide array of internal data sources. The new assistant provides "the same accurate, grounded answers you trust from @kapa_ai," now with seamless integrations to platforms such as Slack, Confluence, Zendesk Tickets, Jira Issues, and over 40 other sources. This extensive connectivity ensures that internal teams have immediate access to comprehensive and reliable information across their organizational knowledge base.
The Internal Technical Assistant is specifically tailored for power users within an organization's GTM functions. This includes technical support engineers, sales engineers (SEs), customer success managers (CSMs), and account executives. By centralizing and making accessible vast amounts of technical product knowledge, Kapa AI aims to streamline workflows, reduce reliance on engineering teams for basic inquiries, and ultimately improve the efficiency and effectiveness of customer-facing roles. Kapa AI, founded by Emil Sorensen and Finn Bauer, has raised $3.7 million in funding and is focused on transforming company knowledge bases into reliable, AI-powered assistants for technical questions.