Truth-Based Chats
Your data. Your workspace. Your AI advantage.
What is QuerySmith™?
QuerySmith™ empowers organizations to build private AI workspaces that understand their internal knowledge, without compromising security or compliance. Built on AWS, it combines advanced natural language processing with robust enterprise controls to ensure data sovereignty and privacy at every step.
Intelligent
Uses AWS Bedrock and large language models to deliver context-aware insights from your own data.
Secure
Designed to meet NIST 800-53, SOC2, and FedRAMP design standards.
Enterprise-Grade
Trusted by government and corporate environments alike.
Flexible
Create tailored projects, workspaces, and knowledge bases with fine-grained access control.
Core Functionalities
Chats
Engage in natural conversation to find answers and insights quickly.
Projects
Creative private spaces to upload, organize, and explore your own files with AI-powered search
Query
Perform advanced searches across your company's data and instantly retrieve relevant files.
History
Revisit past chats and easily access previous conversations anytime.
Content Architecture
Workspaces
Collaborate as a Team
Collaborate seamlessly with your team in shared workspaces. Control access to specific users, share knowledge bases, and maintain consistent information across your organization.
Shared Resources
All team members access the same knowledge bases, ensuring consistency
Access Control
Define roles and permissions to protect sensitive information
Centralized Management
Admins can manage settings, users, and resources from one dashboard
Knowledge Bases
Collaborate as a Team
Build a central library of information your team can trust. Upload documents, reports, and other materials to create a shared resource that’s easy to pull information from. QuerySmith instantly finds the right answers by understanding the context of your content — helping teams work faster and make better decisions.
Supported Content Types
PDFs, Word files, spreadsheets, and other text files
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Tips
The more comprehensive your knowledge base, the more accurate and contextual QuerySmith's responses become.
