Provides custom AI-powered agents and virtual assistants that automate end-to-end enterprise workflows, integrating seamlessly with existing systems to enable real-time decision-making and reduce manual intervention. These solutions improve operational efficiency by executing complex tasks autonomously, resolving customer queries 80% faster, and increasing sales and support team productivity by up to 4x.
Funding
$27.5M 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.
MLFounders
Product
Problem
Many enterprises struggle to efficiently automate complex, end-to-end workflows, leading to slower query resolution, inconsistent customer support, and underutilization of sales and support teams. Integrating AI solutions into existing infrastructure can be disruptive and require extensive customization.
Solution
Nurix provides custom AI Agents and Agent Assist solutions that automate enterprise workflows and augment human teams. The AI Agents proactively execute complex tasks and make real-time decisions, while Agent Assist empowers sales and support teams to resolve issues more effectively. Nurix's solutions integrate with existing CRM, telephony, CCaaS, and internal systems, ensuring smooth data flow and interoperability. By leveraging a proprietary low-latency voice stack, Nurix delivers human-like conversational AI for enhanced customer engagement.
Target Audience
Nurix targets enterprises seeking to automate workflows, improve customer support, and increase the productivity of sales and support teams, including those in retail and insurance.
Features
- AI Agents that automate end-to-end workflows with proactive action capabilities
- Agent Assist virtual assistants that augment sales and support teams
- Proprietary low-latency voice stack for human-like conversational AI
- Seamless integration with existing CRM, telephony, CCaaS, and internal systems via 300+ pre-built integrations
- Rapid deployment within 24 hours using a pre-built library of AI agents
- Integration with enterprise data for long-term strategic differentiation
- Customizable tech architecture tailored to specific use cases
- Voice-to-voice models that support barge-in, real-time responses, and natural dialogue