Structure and contextualize enterprise data into AI-ready knowledge retrieval with RAG pipelines, semantic indexing, knowledge graphs, and proprietary SLM fine-tuning.
Model-agnostic orchestration layer enabling interoperability, seamless switching, and abstraction of model complexity across open, closed, and fine-tuned SLMs with built-in guar...
Zero-copy data fabric providing instant, secure access to enterprise data for AI workloads without migration, duplication, or reengineering.
What customers say
“Sales Interaction Agent’s ability to pull out key moments is really important when we’re onboarding new sales team members. One team member is able to work with another to unlock great insights from a great call. They can then replicate that throughout the rest of the organization.”
CustomerUniphore customer
“Sales Interaction Agent really extended our sales management organization. It has provided great insights for a more successful sales process. Being able to see how great our sales team is has just given me confidence that we’re meeting our clients where we need to.”
CustomerUniphore customer
“I have personally worked with several scripting IVA vendors over the years, and Uniphore has one of the most user-friendly and easiest script building tools. Integrating Self Service Agent into our existing process was painless. The Uniphore team worked with our cloud dialer vendor to ensure the correct settings and configuration successfully delivered calls to the IVA. Our collection software is often difficult to integrate with outside vendors, but using APIs, we successfully achieved integration.”
CustomerUniphore customer
Allstate launched a roadside-assistance self-service experience with voice and visual guidance. Uniphore reports 48% containment, a 31% increase in self-service, and more than $5M in annual savings.
State Collection Service deployed Uniphore’s Self Service Agent for automated patient interactions and collections. Uniphore reports $2M collected in the first two quarters and 25% call containment to self-service.
Uniphore Formalizes Sovereign Small Language Model Architecture for Enterprise
Uniphore has formalized its architectural strategy for enterprise AI, focusing on a system of small language models (SLMs) rather than generalist frontier models. This approach involves deploying a stack of domain-tuned SLMs—optimized for specific tasks like latency, compliance, retrieval, and execution—governed as a unified system to provide enterprises with greater control, data sovereignty, and cost efficiency. The strategy emphasizes shifting enterprise AI away from token-heavy general models toward modular, sovereign AI stacks that compound intelligence over time through specialized, domain-specific training on enterprise data.
