There is an emerging trend among companies: employing AI for enhancing productivity. A prime focus? Search functionality. With data spread across various disconnected silos in most firm, the combination of extensive language models, retrieval augmented generation (RAG), and enterprise-grade integration services are increasingly enabling advanced search tools capable of responding to complicated data queries. In this context, startups like Doti AI are making their presence felt vividly.
Tel Aviv-based Doti AI, one of the latest market entrants, recently raised a commendable seed funding of $7 million. The platform integrates data from several services like Confluence, Datadog, Gitlab, Jira, and more, making this data accessible on-demand through a user-friendly chat feature, found in Slack, for instance.
What’s unique about Doti AI is the ‘AutoPilot’ it offers. It’s a proactive monitoring feature for Slack channels which responds automatically whenever it identifies a query it can answer.
Developed by ex-Wix employees Matan Cohen (CEO) and Opher Hofshi (CPO), Doti AI originated from their recognition of unsolved issues within enterprise search. They believe that every company would soon need to infuse AI into their processes, and those who adapt quicker would drive in the fast lane.
Even though Doti AI may seem similar to other offerings, its uniqueness lies in its flexibility. Companies can bring their own extensive language models and set their security policies. According to Cohen, their platform’s flexibility is a game changer for organizations.
This inventive startup raised its seed funding of $7 million led by F2 Venture Capital, alongside participation from several angel investors.
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