Uniphore

What is Uniphore?

Uniphore is an enterprise AI platform that connects data, knowledge, models and agents so large businesses can run AI in production. It started in conversational AI for contact centers and now positions itself as a data and AI orchestration platform.

Key features of Uniphore

• Agentic layer: orchestrates AI agents that carry out business workflows.
• Model layer: secures and governs AI models with built-in guardrails.
• Knowledge layer: builds domain-specific small language models from enterprise data.
• Data layer: prepares enterprise data for AI without migrating it.
• Marketing AI: predicts customer behavior and supports autonomous marketing execution.
• Customer service AI: conversational AI and agent assist for front-office teams.

How Uniphore works

Uniphore uses a zero-copy approach, working on data where it lives instead of duplicating it into new pipelines. The data layer feeds the knowledge layer, models run under governance guardrails, and agents execute workflows such as finance operations, risk and compliance, and customer service. It can run on any cloud with any model.

Who uses Uniphore?

Large enterprises in energy, financial services, insurance, telecom, healthcare and retail use it. The vendor reports 60+ Fortune 500 companies in production and 2,000+ businesses across 20+ countries.

Uniphore pricing

Uniphore does not publish pricing; plans are quoted by the vendor for each deployment.

Uniphore integrations

Uniphore describes itself as composable and warehouse-agnostic, working with existing tech stacks on any cloud. Specific connector names are not listed on its homepage.

Uniphore alternatives

Cresta and Observe.AI focus on contact center agent assist and conversation intelligence, which is a narrower scope than Uniphore's full data and AI stack. Yellow.ai and Haptik are conversational AI platforms for customer-facing chat and voice agents. Gong targets revenue teams with conversation analytics.