Transform scattered, siloed information into a centralized reservoir of actionable intelligence.
Transform scattered, siloed information into a centralized reservoir of actionable intelligence. Enrich data with metadata, ensuring each document or resource is properly classified, searchable, and context aware. As a result, users and AI agents can access precise, relevant knowledge at the right time, improving decision-making, compliance, and operational efficiency.
Context-Rich Content: Provide teams and AI agents with accurate, metadata-tagged documents and references that bolster AI responses and minimize misinformation.
Compliance & Data Control: Safely centralize knowledge, apply governance rules, and prevent data leakage through isolation and granular access controls.
Faster, More Accurate AI Interactions: Real-time retrieval of vetted, contextually relevant information enhances the reliability and confidence of AI outputs.
· Secure document and URL integration
· Vector-based semantic search for pinpoint accuracy
· Real-time knowledge retrieval to support ongoing AI tasks
· Workspace-isolated content to prevent unauthorized disclosure
· Granular access controls and robust audit trails
· Automated metadata management, classification, and categorization
· Metadata-driven prompt enhancement and filtering for improved AI accuracy
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Seamlessly connect to any major AI model through a single, secure gateway via API or Collaboration Portal.
Maintain persistent, cross-model context that keeps AI interactions consistent, compliant, and auditable .
Enforce enterprise-grade policies with robust RBAC, audit trails, and guardrails built to meet the highest compliance standards.
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Empower teams with collaborative and individual workspaces to manage all AI interactions, share knowledge, and secure access.
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