Uniphore Business AI Cloud
The facts below are what the maker publishes about Uniphore Business AI Cloud, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Uniphore Business AI Cloud's own pages, with the date it was checked.
What it does
- Agent workflows
- The platform supports a library of reasoning, research, and task execution agents, plus multi-agent workflows designed visually with BPMN.checked 11 Oct 2026
- API
- Business AI Cloud APIs allow users to create, configure, and manage agents, and the API documentation describes Bearer Token authentication.checked 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.checked 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.checked 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.checked 11 Oct 2026
- Data handling
- The data layer supports multi-cloud, multi-data compute, data automation agents, and structured and unstructured data.checked 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.checked 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.checked 11 Oct 2026
- Deployment
- Uniphore says the platform supports cloud, multi-cloud, and on-premises deployments of enterprise AI agents and apps.checked 11 Oct 2026
- Deployment audience
- The platform is designed to help developers, product managers, CIOs, and business users build, integrate, and scale AI agents.checked 11 Oct 2026
- Deployment options
- Uniphore says the platform supports cloud, multi-cloud, and on-premises deployments of enterprise AI agents and apps.checked 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.checked 11 Oct 2026
- Intended users
- The platform is presented for business users and IT leaders, including CIOs, to build and scale enterprise AI applications.checked 11 Oct 2026
- Knowledge tools
- The knowledge layer includes RAG, knowledge graphs, process discovery, and an SLM fine-tuning factory.checked 11 Oct 2026
- MCP integration
- The agentic layer supports external integration through Model Context Protocol (MCP).checked 11 Oct 2026
- Model orchestration
- The model layer orchestrates open, closed-source, or fine-tuned models and includes built-in guardrails and policy control.checked 11 Oct 2026
- Model support
- Its Model Layer supports proprietary, open-source, and fine-tuned models with orchestration, guardrails, and governance.checked 11 Oct 2026
- Purpose
- Business AI Cloud unifies enterprise data, knowledge, models, and agents in a sovereign, composable AI platform.checked 11 Oct 2026
- Security certifications
- Uniphore states it is ISO/IEC 27001:2022 certified, a Level 1 PCI DSS service provider, and SOC 2 Type II certified.checked 11 Oct 2026
- Security controls
- The platform page describes role-based access controls and embedded guardrails intended to limit users to authorized information.checked 11 Oct 2026
- Support
- Uniphore provides a support portal and lists regional technical support contact details on its support page.checked 11 Oct 2026
The company
- Company
- Uniphore identifies itself as “The Business AI Company.”checked 11 Oct 2026
- Founded
- 2008checked 28 Sep 2026
- Headquarters
- Palo Alto, California, United Stateschecked 28 Sep 2026
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