CoSupport AI
What is Moveo.AI?
Moveo.AI offers a customer experience (CX) platform driven by powerful, proactive GenAI agents. It allows businesses to transform standard notifications into dynamic, personalized conversations.
This platform helps companies improve customer engagement and achieve significant improvements in product adoption and revenue generation. The system is designed to integrate seamlessly with existing tech infrastructure, providing secure and confidential data handling.
Features
- CX-focused proprietary LLMs: Outperforms GPT-4 in CX, trained in business conversations.
- State-of-the-art NLP: Understands customer intent, including spelling mistakes and slang.
- Secure integration: Seamlessly connects with your existing tech stack.
- Proactive engagement: Enables personalized customer interactions across multiple channels.
- Auto builder: Create AI agents from text descriptions.
- No-code interface: Build and manage AI agents without coding.
- Self-learning capabilities: Continuously improves performance based on interactions.
- Omnichannel support: Integrates with platforms like WhatsApp, Viber, Zendesk, and Intercom.
Use Cases
- Accelerate product adoption through conversational campaigns.
- Enhance customer retention and growth with personalized rewards.
- Improve customer service by automatically resolving tickets.
- Automate lead generation processes.
- Streamline HR processes.
- Enhance customer experience in financial services and eCommerce.
FAQs
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What integrations are available with Moveo.AI?
Moveo.AI integrates with various platforms, including WhatsApp, Viber, Zendesk, Intercom, and Front, among others. -
How does Moveo.AI ensure data security?
Moveo.AI uses a private LLM and secure integration to keep business data secure and confidential. -
What is meant by "meaningful conversations" in the pricing plans?
Pricing is based on meaningful interactions, and Moveo learns from every interaction to enhance its performance.
Related Queries
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Moveo.AI Uptime Monitor
Average Uptime
99.92%
Average Response Time
162.67 ms
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