Tool Information
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.
F.A.Q (18)
Inari is an artificial intelligence tool designed to be a copilot to assist businesses in areas such as product, operations, and analytics. It provides a ChatGPT-like assistant that is connected to users' applications and customised to their workflows. Through advanced language models like OpenAI's GPT-4, it drafts startup documents and completes operating tasks efficiently.
The primary purpose of Inari is to streamline business operations, saving users' time by providing a language model assistant for drafting startup documents and executing operating tasks. It also aids in gathering context from various applications and enables semantic and keyword searches across the apps for information retrieval.
A unique feature of Inari is its ability to discover insights by connecting siloed knowledge across different applications. Inari utilises smart search and analysis to generate answers and references the sources it retrieves from. This helps businesses to efficaciously harness their information reservoir, improving the quality of responses and time management.
Inari connects with business applications by securely integrating to your apps such as Google Docs, Gmail, Notion, etc. It pulls in relevant context from these apps, converts the knowledge into fresh embeddings enabling vector searches that understand natural language queries.
Inari's copilot app is a design interface for operators to query, analyse, and complete work. It works with different integrations to your work applications to enable context-based searches and leverage language models for task completion.
Inari can integrate securely with different work applications. Some of the listed applications include Google Docs, Notion, Github, Postgres, BigQuery, Gmail, and Snowflake.
Inari's semantic and keyword searches work by connecting to your work applications, converting that knowledge into fresh embeddings, enabling vector searches that semantically understand natural language queries. This allows users to search for data across applications using natural language, grounding the responses based on their internal knowledge.
Inari's agents are pre-defined workflows or templates used to improve the quality of responses from language models and save time on tasks. These agents help to generate expert responses and also allow users to complete tasks quickly. Users can select an agent for expert responses generated through well-crafted prompts, chains of prompts, or autonomous agents.
You can create your own agents in Inari by adding your Agent, refining your prompts, and then sharing the best Agents with your team. The platform maintains a repository of pre-built Agents but also allows for user customization.
Inari can improve your team's efficiency by providing workflows that enable faster completion of tasks. It also helps in drafting documents such as product requirements, business reviews, JIRA issues and brainstorming new initiatives which can save about 2 hours per day rewriting similar plans. Its ability to connect and search across different apps for relevant information reduces the time spent on research as well.
Inari helps in drafting various startup documents such as product requirements, business reviews, JIRA issues, status updates, requirement documents, and launch plans. It leverages large language models like OpenAI's GPT-4 for this purpose.
Inari ensures the security of your business's data by integrating securely with work applications and maintaining stringent secure connection protocols.
Yes, Inari does offer a demo. You can schedule and book a demo through their website.
Inari is backed by Y Combinator S23, a veteran name in the startup world.
Yes, Inari can significantly improve your business's analytics operations. By providing a ChatGPT-like assistant connected to your apps, it enables you to explore product ideas, refine business decisions, and save time drafting documentation. The tool integrates securely with different applications, allowing semantic and keyword searches across these platforms to deliver context and enhance analytics procedures.
Yes, Inari offers various types of pre-defined workflows called agents. These include General, Founder, Product, Operations, Analytics, Strategy, Growth, and Finance.
Inari's natural language search works by connecting to your work apps and converting the knowledge into fresh embeddings. This enables vector searches that semantically understand natural language queries, allowing users to search for data across applications using natural language and ground the responses based on their internal knowledge.
You can get in touch with the team at Inari by booking a demo through the website. Additional contact options might be available but they are not stated on their site.
Pros and Cons
Pros
- Saves time on tasks
- Provides ChatGPT-like assistant
- Tailored to your workflows
- Pulls context from applications
- Drafts common startup documents
- Completes operating tasks efficiently
- Offers co-pilot app
- Secure integration with work applications
- Enables semantic and keyword searches
- Workflows for language models
- Connects to Google Docs
- Notion
- Discovers insights across applications
- Connects siloed knowledge
- Generates referenced responses
- Drafts business reviews
- Searches data using natural language
- Grounds responses on internal knowledge
- Pre-defined workflows (agents)
- Allows users to create agents
- Refine prompts option
- Share prompts with team
- Secures connection to work applications
- Semantic understanding of queries
- Access previously inaccessible insights
- Quality improvement of LLM responses
- Curation of prompts and workflows
- Direct access to agent workflows
- Less manual copy-pasting
- Create and add customized agents
Cons
- Limited application integrations
- Potential security concerns
- Dependent on GPT-4 updates
- No mobile support
- Limited customization of workflows
- Learning curve for operators
- Efficiency depends on user input
- Limited search functionality
- Possible irrelevant context pulling
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