IT startup Kapa.ai, which helps convert developer knowledge bases into instant AI assistants for answering technical questions, has closed $3.2 million in seed round. The round was co-led by Initialized with Y Combinator alongside a number of prominent angels, including Douwe Kiela at ContextualAI, Replit’s Amjad Masad, and Solomon Hykes of Docker.
Use of Funds
The company will utilise the funds for enhancing Kapa.ai, increasing the API connection, and enhancing the product for business of all types.
Platform Capabilities
- Explainable Answers: Kapa.ai translates meaning with little hallucination, holding itself to 100+ successful deployments across source material.
- Comprehensive Knowledge Integrations: This includes web site crawlers, slack channel readers, forum parsers, and more with over 30 data source integrations for timely and accurate beta data.
- Off-the-Shelf Deployments: Website chatbots, Slack announcements, Discord bots, and Zendesk assistants are seamlessly integrable with businesses through 1-click.
- Continuous Improvement: It is integrated with analytics which can help identify some cases that lack documentation and can also help modify the activity of the AI over time.
- Enterprise-Grade Security: The platform they use SOC II Type II, PII with tools to recognize and hide that data with the highest level of security.
Key Customers
Kapa uses artificial intelligence to help more than 100 organizations worldwide, as well as such prominent market players as Docker, OpenAI, Monday.com, Grafana, CircleCI, Silicon Labs, TomTom, and Mapbox.
Kapa.ai Pricing
At the moment, Kapa.ai does not reveal detailed information regarding pricing, though it states that it provides tailored quotations depending on the integration and AI complexity of the clients’ needs.
Kapa.ai Careers
Kapa.ai is a distributed company currently located in San Francisco, USA and Copenhagen, Denmark. The company is still rapidly growing; as part of our team, you would have a unique opportunity to work in the AI development field as well as the product management field and customer success.
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