AURORAEmpower everyone in the enterprise
to work safely alongside intelligence.
Aurora is a general-purpose enterprise AI agent platform that unifies AI use, capability building, team collaboration, runtime evaluation, and governance—turning fragmented models, knowledge, tools, and agents into sustainable organizational capabilities.

Move AI capabilities beyond isolated tools
and let them grow across the organization.
Aurora connects the use, creation, sharing, integration, and governance of AI, enabling employees, domain experts, technical teams, and managers to advance enterprise intelligence on one platform.
One intelligent entry point unlocks
the full capability to build and operate enterprise AI.
Aurora connects daily work, capability assets, agent building, team collaboration, and enterprise context so AI becomes part of how the organization actually works.
General AI Workspace
Let AI take on complete work, not just answer a question. Research, document processing, data analysis, content creation, and task execution share one context where models, tools, and enterprise knowledge collaborate.
AI Capability Hub and Open Marketplace
Make every intelligent capability discoverable, composable, and reusable. Manage models, agents, workflows, skills, plugins, MCP services, templates, and industry capabilities as shared organizational assets.
Agent and Application Builder
Turn business ideas into intelligent applications that actually work. Build single agents, multi-agent systems, workflows, and agent loops through natural language, visual orchestration, or professional development, then validate, publish, and iterate.
Collaborative Team Workspace
Let people and agents work side by side. Once Aurora joins a team workspace, it understands its discussions, files, and tasks, can step in when mentioned, and returns deliverables to the shared workspace.
Enterprise Context Integration
Help agents understand the enterprise, not just a prompt. Connect organizational relationships, knowledge, business data, system tools, identities, and permissions while preserving existing boundaries.
Release Risk Weekly ReportWaiting for context
Let AI capabilities grow freely
while enterprise boundaries remain clear.
Aurora combines identity and data boundaries, model and runtime governance, quality evaluation, and execution tracing so every call, decision, and action is manageable, observable, and auditable.
From one AI entry point to a platform enterprises can freely
build, share, and operate.
Aurora connects models, knowledge, tools, and agents into organizational capabilities that keep accumulating and evolving.
