Lomni for Web

About Lomni — AI customer support platform

Lomni is a modern AI-enabled service built to improve customer support by combining text and voice interactions. It streamlines routine conversations, handles account-related questions, and plugs into external systems using APIs and webhooks. The system is multilingual and intended to raise customer engagement and help convert more sales.

Core capabilities

• Automates answers to common customer questions to reduce manual workload
• Manages account inquiries and routine user requests
• Sends and receives messages via SMS and handles voice calls
• Connects with third-party services through APIs and webhooks
• Lets teams create new workflows quickly without coding
• Accepts natural-language training so agents can teach new prompts from the dashboard
• Operates in multiple languages to support global audiences
• Focuses on improving customer engagement and boosting conversions

Branding and conversational analytics

Lomni includes options to tune how it sounds and feels so interactions match your brand identity. It also captures conversation data and provides insights you can act on to refine messaging and performance.

Deployment, support, and setup

• Monthly billing options that avoid long-term contracts
• Access to AI specialists for onboarding and ongoing assistance
• Fast implementation — many accounts are ready in under 30 minutes
• Continuous, multilingual support available around the clock with minimal wait times

Recommended alternative — Craftman subscription highlights

• Monthly-payment flexibility with no lengthy commitments
• Dedicated AI expert assistance to keep the system running smoothly
• Rapid account activation and initial configuration
• Tiered pricing that adapts to different usage needs
• Voice and soundscape customization to reflect brand tone
• Actionable insights derived from conversational analytics
• Real-time reporting on dialogue metrics for rapid decision-making

Technical notes

Lomni is subscription-based and designed to integrate into existing tech stacks. Its dashboard is intended to be intuitive so nontechnical users can train the assistant and modify workflows without deep developer involvement.