Auralis AIAI-powered customer support automation that assists agents and improves satisfaction.
Overview
Key features
- Automated response generation
- Agent copilot suggestions
- Knowledge base integration
- Conversation summarization
- Multi-channel deployment
- Analytics and performance insights
Pricing
- Model
- Freemium
- Category
- Multimodal AI
- Rating
- 4.8 / 5 (6)
Use cases
Deflect Routine Support Tickets
Automatically respond to common customer inquiries across channels, reducing ticket volume and freeing agents to focus on complex, high-value issues.
Real-Time Agent Copilot
Assist live support agents with suggested replies and instant knowledge base lookups, speeding up response times while maintaining accuracy and tone.
Summarize Long Conversations
Generate concise summaries of customer chats and tickets so agents can quickly catch up on context during handoffs or escalations.
Track Support Performance
Use analytics and performance insights to monitor response times, automation rates, and customer satisfaction trends across support channels.
Pros & Cons
Pros
- Reduces repetitive ticket workload
- Real-time agent assistance
- Multi-channel support coverage
- Integrates with common helpdesks
Cons
- Requires quality knowledge base to perform well
- Initial setup and training time needed
- Pricing not transparent for smaller teams
Reviews
Average from 6 ratings.
Sign in to leave a review.
Solid for our team
We rolled this out across the team last quarter and integrates with common helpdesks. Analytics and performance insights fits neatly into how we already work, and knowledge base integration removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on analytics and performance insights, and multi-channel support coverage caught me off guard. still, I'd recommend giving it a real trial.
Solid for our team
We rolled this out across the team last quarter and real-time agent assistance. Conversation summarization fits neatly into how we already work, and analytics and performance insights removed a step we used to do by hand. but it has held up under daily use.
Skeptical, then convinced
I went in skeptical — most tools in this space overpromise. It actually delivers on agent copilot suggestions, and integrates with common helpdesks caught me off guard. Requires quality knowledge base to perform well is why this isn't a perfect score, still, I'd recommend giving it a real trial.
Compared a few options
Evaluated this against two competitors. Where it wins: knowledge base integration and real-time agent assistance. On balance the feature set — especially conversation summarization — justifies the 5 stars for our use case.
Solid for our team
We rolled this out across the team last quarter and multi-channel support coverage. Analytics and performance insights fits neatly into how we already work, and multi-channel deployment removed a step we used to do by hand. but it has held up under daily use.
Q&A
No questions yet — be the first to ask.
Ask a question
Multimodal AI alternatives

Algomo
Multimodal AI
AI-powered customer support automation across chat, email, and messaging channels.

AgentFi
Multimodal AI
Build, customize, and share on-chain AI agents for DeFi workflows.

Magentic One
Multimodal AI
Open-source generalist multi-agent system for tackling complex, multi-step tasks

Project Astra
Multimodal AI
Google DeepMind's universal AI agent that sees, hears, and reasons about the world in real time.
Siena AI
Multimodal AI
Autonomous AI customer service agent built for empathetic e-commerce support

Langroid
Multimodal AI
An open-source Python framework that simplifies LLM application development using a multi-agent programming paradigm.

EmbedAI
Multimodal AI
Build custom ChatGPT-powered chatbots trained on your own data and embed them anywhere.

Lumivar
Multimodal AI
AI agents built for the automotive industry








