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C

Clinc

The startup develops a conversational AI platform that utilizes natural language processing, machine learning, and deep neural networks to analyze human speech. This technology provides actionable insights that enhance customer interactions, enabling businesses to improve engagement and foster stronger relationships with their clients.

Ann Arbor, United States
Updated 2 months ago

Funding

$59.8M 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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional banking customer service channels often lead to long wait times, frustrating user experiences, and high operational costs for financial institutions. Existing chatbot solutions often lack the sophistication to handle complex queries or understand natural language, resulting in poor containment rates and customer dissatisfaction.

Solution

Clinc provides a conversational AI platform that enables banks and credit unions to automate customer interactions across multiple channels, including voice and chat. The platform leverages natural language understanding, machine learning, and deep neural networks to comprehend unstructured human speech and provide accurate, personalized responses. Clinc offers both pre-built virtual assistants for common banking tasks and a customizable platform for developing unique conversational experiences. The solution integrates with existing banking systems and offers flexible deployment options, including cloud and on-premise, to meet specific security and compliance requirements.

Target Audience

The primary target audience includes banks and credit unions seeking to improve customer satisfaction, reduce operational costs, and enhance digital engagement through conversational AI.

Features

  • Patented AI technology with 20 patents in process and eight research publications
  • Ability to understand "messy language," including slang and contextual clues
  • Conversational healing, allowing users to change information mid-conversation without restarting
  • Context retention to remember previous interactions and personalize responses
  • Slot mapping to accurately understand user intent without exhaustive synonym lists
  • Data curation tools to clean up inconsistent data and ensure model accuracy
  • Crowd-sourcing tool to rapidly create new agent capabilities
  • Pre-built virtual assistants for unauthenticated and authenticated users
  • Omni-channel support for SMS, Slack, Twitter, WhatsApp, Facebook Messenger, Apple Business Chat, Amazon Alexa, Google Actions, iOS, Android, and IVR
  • Seamless integration with core banking systems, Amazon Connect, and Genesys
  • Comprehensive AI testing capabilities, built-in version control, and customizable response editors
This profile is AI-generated and may contain inaccuracies.