Fundamento provides a generative AI platform that automates customer support interactions and repetitive tasks, allowing agents to focus on complex queries and personalized service. The solution enhances operational efficiency by reducing average handling time and improving accuracy in intent identification through industry-specific training of large language models.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many customer support centers struggle with high volumes of repetitive inquiries, leading to agent burnout and increased average handling time. Existing AI solutions often lack the industry-specific knowledge required to accurately understand customer intent and resolve complex issues.
Solution
Fundamento offers a generative AI platform designed to automate customer support interactions and streamline repetitive tasks, enabling agents to concentrate on complex issues and personalized service. The platform leverages industry-specific training of large language models (LLMs) to improve intent identification accuracy and reduce average handling time. Fundamento's architecture supports on-cloud, on-premise, and hybrid deployments, providing enterprises with greater control over data security and performance. The platform also offers a bring-your-own LLM option, allowing clients to integrate the latest models based on their specific needs.
Target Audience
Fundamento targets enterprise contact centers seeking to improve operational efficiency, reduce costs, and enhance customer satisfaction through AI-powered automation.
Features
- AI-powered virtual agent for handling upstream customer interactions and reducing agent workload
- Industry-specific LLM training for accurate intent identification and issue resolution
- Flexible deployment options: on-cloud, on-premise, and hybrid
- Bring-your-own LLM option for integrating specialized models
- Enterprise-grade security features, including data encryption and authentication
- Data governance protocols, including call scrubbing and model lineage documentation
- Data engine for converting complex data into a structured, annotation-ready knowledge base
- High-performance architecture optimized for low latency