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On the recordRead 11 Oct 202625 facts
Uniphore Business AI Cloud
Palo Alto, California, United States
On the record
- Agent workflows
- The platform supports a library of reasoning, research, and task execution agents, plus multi-agent workflows designed visually with BPMN.uniphore.com · read 11 Oct 2026
- API
- Business AI Cloud APIs allow users to create, configure, and manage agents, and the API documentation describes Bearer Token authentication.help.uniphore.com · read 11 Oct 2026
- API access
- Business AI Cloud APIs can create, configure, and manage agents, use Bearer Token authentication, and restrict each access token to its tenant’s resources.help.uniphore.com · read 11 Oct 2026
- Company
- Uniphore identifies itself as “The Business AI Company.”uniphore.com · read 11 Oct 2026
- Connector limits
- Adding connectors to the predefined list requires contacting Uniphore Support, and integrating a vector database requires contacting a support representative.help.uniphore.com · read 11 Oct 2026
- Connector setup
- Business AI Cloud connectors link the platform to external systems such as file repositories, relational databases, enterprise applications, or conversation sources; new predefined connectors can be requested through support.help.uniphore.com · read 11 Oct 2026
- Data handling
- The data layer supports multi-cloud, multi-data compute, data automation agents, and structured and unstructured data.uniphore.com · read 11 Oct 2026
- Data protection
- Uniphore says UI and API traffic uses HTTPS/TLS 1.2 or higher and service data is encrypted at rest with AES-256.uniphore.com · read 11 Oct 2026
- Data residency
- Uniphore says its AWS data centers are in the United States and Europe and customers can choose US-only or EEA service data location.uniphore.com · read 11 Oct 2026
- Deployment
- Uniphore says the platform supports cloud, multi-cloud, and on-premises deployments of enterprise AI agents and apps.uniphore.com · read 11 Oct 2026
- Deployment audience
- The platform is designed to help developers, product managers, CIOs, and business users build, integrate, and scale AI agents.help.uniphore.com · read 11 Oct 2026
- Deployment options
- Uniphore says the platform supports cloud, multi-cloud, and on-premises deployments of enterprise AI agents and apps.uniphore.com · read 11 Oct 2026
- Integrations
- The help center describes source connectors for document repositories, enterprise applications, relational databases, and NoSQL databases, and lists Confluence and Google Drive configuration instructions.help.uniphore.com · read 11 Oct 2026
- Intended users
- The platform is presented for business users and IT leaders, including CIOs, to build and scale enterprise AI applications.uniphore.com · read 11 Oct 2026
- Knowledge tools
- The knowledge layer includes RAG, knowledge graphs, process discovery, and an SLM fine-tuning factory.uniphore.com · read 11 Oct 2026
- MCP integration
- The agentic layer supports external integration through Model Context Protocol (MCP).uniphore.com · read 11 Oct 2026
- Model orchestration
- The model layer orchestrates open, closed-source, or fine-tuned models and includes built-in guardrails and policy control.uniphore.com · read 11 Oct 2026
- Model support
- Its Model Layer supports proprietary, open-source, and fine-tuned models with orchestration, guardrails, and governance.uniphore.com · read 11 Oct 2026
