Fireflies vs Inari: Which is better?

Fireflies.ai is an AI-powered conversation intelligence and notetaking tool that helps teams record, transcribe, search and analyze voice conversations. It can be used to capture video and audio, and generate transcripts in minutes, as well as filter and listen to key topics discussed during meetings. Fireflies.ai also has AI-powered search that allows users to review a one-hour meeting in five minutes, and quickly identify action items, tasks, questions and other key metrics. Furthermore, Fireflies.ai allows users to collaborate with co-workers by adding comments, pins and reactions to specific parts of conversations, create soundbites and share meeting notes to collaboration apps like Slack, Notion and Asana. Fireflies.ai also features conversation intelligence that can be used to track speaker talk time, sentiment, monologues and other key metrics, as well as identify objections, competitors and other topic trackers that can be customized. Additionally, Fireflies.ai can be used to automate workflows from meetings by filling out CRMs, creating tasks with voice commands, and instantly share meeting recaps to collaboration apps. Lastly, Fireflies.ai also creates a real-time knowledge base for the entire team, and can be used by knowledge workers across teams such as sales, engineering, recruiting, marketing, education and media & podcasting.

Inari is an AI copilot tool designed to assist businesses in various areas such as product, operations, and analytics. It aims to save time by providing a ChatGPT-like assistant that is connected to your applications and tailored to your workflows. One of Inari's key features is its ability to pull in relevant context from your applications and utilize powerful language models like OpenAI's GPT-4 to draft common startup documents and complete operating tasks with high quality and efficiency. It aims to address the challenge faced by operators in startups and tech companies, who spend a significant amount of time searching for information and summarizing it for stakeholders in various communication formats such as status updates, requirement documents, and launch plans.To achieve this, Inari offers a co-pilot app with a design interface for operators to query, analyze, and complete work. It also integrates securely with different work applications, enabling semantic and keyword searches across these apps to provide context. Inari's agents provide workflows for language models to complete user tasks, and it securely connects to work applications like Google Docs and Notion.Additionally, Inari allows users to discover insights by searching for context across different applications, connecting siloed knowledge and making it accessible while completing work. It generates answers and references the sources it retrieves from, enabling users to draft weekly business reviews, search for data across applications using natural language, and ground the responses based on internal knowledge.Inari also offers a feature called agents, which are pre-defined workflows or templates that improve the quality of responses from language models and save time on tasks. Users can also create their own agents, refine prompts, and share them with their team.