Our platform is built on industry Governance, Risk, and Compliance principles where the platform’s responsible, explainable, high-quality AI models, automatically document model lineage and metadata. Our data governance includes call scrubbing orchestration protocols and end-to-end encryptions and authentication.

We solve for cloud-based latency and security challenges as enterprises get greater control over their data and performance while managing large-use cases and peak traffic volumes, with flexibility across on-cloud, on-premise, and hybrid deployments that meet security standards, speed, and cost needs.

Fundamento works with foundational LLMs that are trained not just on the back of company and organizational data provided by the client, but also on industry-specific data that is able to easily identify and reflect complex contact center use cases to deliver the highest level of accuracy during customer interactions

Fundamento’s model goes beyond extraction and classification and makes reliable enterprise-grade training possible by converting large volumes of complex data into a structured annotation-ready knowledge base. With our data engine, clients can realize dramatically high accuracy on intent identification and resolving customer problems

Fundamento’s platform is optimized for delivering high performance with low latency due to the flexibility of deployments we offer, taking care of cloud-based problems. Our on-premise deployment and heavily trained data engine ensure that the needs of the customer are addressed with no scope for delay or inaccuracy.

Our platform offers a bring-your-own LLM option to plug in the latest models based on relevancy and specialization. We afford our clients the flexibility of choosing a foundational model that’s most relevant to them depending on their industry, domain, and use case to ensure better performance and a higher level of accuracy.