Coworker is an AI agent that provides enterprise-wide context to automate complex tasks and deliver deeper analysis. It securely integrates with over 40 applications to act as organizational memory, enabling teams to offload operational work and focus on strategic initiatives.
Funding
$13M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
JHFounders
Product
Problem
Generic AI solutions often provide superficial answers and basic automation, requiring significant manual effort to provide context and refine outputs. This leads to wasted time and a lack of trust in AI-generated information for complex business tasks.
Solution
Coworker is an AI agent designed to handle complex enterprise work by understanding and acting upon company-wide context. It securely integrates with over 40 applications to serve as an organizational memory, enabling deeper analysis and task automation. By offloading routine and intricate operational tasks, Coworker allows teams to reallocate their focus to strategic initiatives. The platform's core innovation, Organizational Memory (OM1), provides a synthesized understanding of projects, teams, and priorities, facilitating more accurate and actionable AI outputs.
Target Audience
Coworker targets enterprise-level organizations across all departments, including engineering, operations, marketing, and sales, that require advanced AI capabilities for complex task execution and deep contextual understanding.
Features
- **Organizational Memory (OM1) Architecture**: A proprietary system that builds a comprehensive, contextual understanding of the organization across over 120 dimensions, including projects, teams, and priorities.
- **Cross-Application Task Execution**: Ability to answer questions, plan, and execute complex tasks across more than 40 enterprise applications without custom coding.
- **Deep Work Mode**: An advanced capability for analyzing, planning, and executing multi-step projects from initiation to completion, with options for autonomous or supervised operation.
- **Contextual Data Integration**: Securely connects to structured and unstructured data across enterprise applications, inheriting user permissions for data access.
- **Multi-Modal Input/Output**: Accepts input via text, voice, or file uploads, and generates outputs ranging from concise answers to detailed reports, charts, and code.
- **Write Access to Connected Tools**: Enables the AI to create and update content in integrated applications such as Jira, Notion, Asana, and Google Docs.
- **Enterprise-Grade Security**: Compliant with SOC 2, GDPR, and CASA Tier 2 standards, featuring end-to-end encryption, role-based access control, and no training on customer data.
- **Rapid Deployment**: Designed for quick setup, with a stated implementation time of less than one day.