Akooda
Enterprise Intelligence that securely searches across your company’s data for unparalleled insights.
Description
Akooda provides an enterprise intelligence solution designed to centralize and search across a company's disparate data sources. By connecting existing systems such as Atlassian, Box, Google Drive, Salesforce, and Slack, it transforms siloed data into a unified platform for accessing valuable insights. Users can pose questions in natural language to receive accurate, sourced answers, effectively reducing the time spent searching for information.
The platform utilizes advanced AI technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, and custom language models, to deliver precise results and actionable insights. It features capabilities like cognitive search, automated summarization, and recommendation systems to help teams discover hidden opportunities and relevant information. Security is a core principle, featuring SOC 2 Type II certification, zero data retention in persistent memory, and user-based permission controls, ensuring data privacy and compliance.
Key Features
- AI-Powered Answers: Get accurate answers to natural language questions, backed by cited sources from connected data.
- Unified Search: Search across multiple company applications (Jira, Slack, GDrive, Salesforce, etc.) from a single interface.
- Actionable Insights & Highlights: Leverages RAG and AI to reveal profound insights and surface key events and updates.
- Organizational Directory: Access key information about projects, customers, or colleagues and monitor progress.
- Secure by Design: Features SOC 2 Type II certification, zero data retention, and respects existing user permissions.
- Multiple Access Points: Use via desktop app, Slack bot, MS Teams bot, and browser extension.
- Extensive Connectors: Integrates with 40+ business tools including Atlassian, Box, Github, Google Drive, Hubspot, Intercom, Jira, Microsoft 365, Salesforce, Slack.
- Advanced AI Technology: Built on hybrid search, knowledge graphs, custom language models, RAG, cognitive search, and neural retrieval.
Use Cases
- Centralizing siloed company data for unified search.
- Reducing time spent searching for internal information.
- Improving cross-functional team knowledge access.
- Generating actionable insights from enterprise data.
- Enhancing decision-making with data-driven answers.
- Monitoring project progress and team activities.
