Workorb

Workorb

Workorb uses Graph LLMs to map enterprise relationships and automate customer-facing team tasks.

Screenshots

Workorb screenshot

About Workorb

Workorb is an enterprise intelligence platform that leverages advanced Graph Large Language Models to decode complex organizational relationships and customer dynamics. By analyzing conversations across email, chat, files, and calls, it constructs a unified view of multi-year, multi-stakeholder B2B relationships that would otherwise remain fragmented across disconnected systems. The platform acts as a virtual employee for customer-facing teams, automatically tracking interactions, extracting factual details, and identifying patterns that inform sales strategy, upselling opportunities, and service improvements. Rather than manually piecing together relationship history from scattered communications, teams gain immediate context on customer connections, decision-maker networks, and engagement trajectories. Workorb's Graph LLM approach enables it to follow conversation flows across multiple platforms and connect implicit relationships that traditional tools miss. This capability streamlines repetitive administrative work and uncovers insights buried in years of organizational communication. Built by founders with deep expertise in machine learning and text mining—including prior successful ventures in enterprise analytics—the platform is purpose-built for the complexity of managing large customer accounts.

Pros

👍 Maps complex multi-stakeholder relationships automatically 👍 Analyzes conversations across email, chat, files, and calls 👍 Reduces manual research and relationship tracking work 👍 Improves sales strategy with relationship pattern insights

Cons

👎 Requires integration with multiple communication platforms 👎 Graph LLM technology may have learning curve for teams 👎 Best suited for enterprises; less applicable for small teams