Compare Glean vs. Trace

Glean is a Work AI platform designed to help organizations unlock the full value of their enterprise knowledge and data. By connecting workplace applications, documents, conversations, systems, and business processes, Glean creates a unified source of context for employees and AI agents. The platform delivers enterprise search, AI-powered assistants, research tools, content creation capabilities, and workflow automation within a secure environment. Glean’s permission-aware architecture ensures that users only access information aligned with their existing permissions and governance policies. The platform supports a wide range of large language models through its Model Hub, allowing organizations to leverage AI while maintaining security and compliance standards. Glean also provides AI agent orchestration, agent building tools, and automation capabilities that help teams streamline repetitive tasks and accelerate decision-making. Its enterprise-grade governance features include observability, auditability, data protection, and compliance controls. Organizations use Glean to improve knowledge discovery, reduce internal support requests, and increase productivity across departments such as engineering, sales, marketing, support, and HR. Glean helps businesses deploy AI at scale while maintaining security, efficiency, and trusted access to enterprise knowledge.

Trace is a sophisticated workflow automation platform that effectively analyzes and maps your current business processes by integrating with tools such as Slack, Jira, and Notion, creating a cohesive view of data, activities, and users. The platform enables users to visualize, design, and replicate complex workflows through a selection of community-curated templates or tailored paths they create themselves. After workflows are defined, Trace intelligently delegates repetitive or routine tasks—whether they require human intervention or can be executed by AI—to the appropriate agent, ensuring that you maintain oversight, permissions, and complete audit logs throughout the process. Additionally, it offers chat, search, and API interfaces for interacting with tasks, as well as high-context knowledge indexing that spans your organization, facilitating smooth transitions between various projects or teams using dedicated workspaces. By combining these functionalities, Trace empowers organizations to automate mundane tasks without altering their existing workflows, thereby enhancing productivity by seamlessly coordinating both AI and human agents across various tasks. Ultimately, this comprehensive approach not only streamlines operations but also fosters a more efficient work environment.