AI-powered chatbot for 24/7 customer support and lead capture on websites
Flexaura
No-code platform to build and deploy AI support agents across multiple channels
About Flexaura
Flexaura is a no-code platform for creating AI agents that handle customer support across web chat, SMS, WhatsApp, email, and voice. Users can launch a support agent in minutes by naming it, writing a system prompt, and selecting an AI model. The platform indexes customer-provided documents such as PDFs, DOCX files, TXT, MD, and URLs to generate answers directly from the content. Agents can be deployed by embedding a snippet on any website or connecting to communication channels without rebuilding for each platform. Flexaura supports multiple AI models including OpenAI, Anthropic, Google, and Groq, and allows users to bring their own API keys. The platform provides real-time observability with token usage, cost, and latency tracking, along with per-conversation cost breakdowns and data export options.
Key features
- Drag-and-drop document upload
- Multi-channel deployment (web, SMS, WhatsApp, email, voice)
- Automatic RAG indexing without manual setup
- Support for PDF, DOCX, TXT, MD, and URLs
- Choice of AI models (OpenAI, Anthropic, Google, Groq)
- Bring your own API keys (BYOK)
- Real-time token and cost tracking
- Data export to external warehouse
Use cases
- Customer support automation
- Order status inquiries
- FAQ and policy lookup
Pros
- No-code interface for building agents
- Supports multiple channels (web, SMS, WhatsApp, email, voice)
- Automatic indexing of documents and URLs
- Choice of multiple AI models or custom API keys
- Real-time cost and performance tracking
Cons
- Free plan limited to 500 messages per month
- No explicit mention of mobile app support
- Requires manual document upload for knowledge base
Frequently asked questions about Flexaura
What is Flexaura and what does it do?
Flexaura is a no-code platform for creating AI agents designed to handle customer support across multiple channels such as web chat, SMS, WhatsApp, email, and voice. It allows users to launch a support agent quickly by naming it, writing a system prompt, and selecting an AI model.
Who should use Flexaura?
Flexaura suits businesses and teams looking to automate customer support without requiring coding expertise. It is suitable for startups, growing support teams, and larger operations needing scalable, multi-channel AI agents.
How does Flexaura handle customer data and knowledge?
Flexaura indexes customer-provided documents such as PDFs, DOCX files, TXT, MD, and URLs to generate answers directly from the content. This allows the AI agent to respond using the user's own knowledge base without requiring complex RAG configurations.
Can I use my own AI models with Flexaura?
Yes, Flexaura supports multiple AI models including OpenAI, Anthropic, Google, and Groq. Users can also bring their own API keys and pay the provider directly, offering flexibility in model selection and cost management.
What kind of support does Flexaura provide for tracking agent performance?
Flexaura offers real-time observability with token usage, cost, and latency tracking. It provides per-conversation cost breakdowns and data export options, ensuring transparency and control over agent performance and expenses.
How do I get started with Flexaura?
Getting started with Flexaura involves three simple steps: creating an agent by naming it, writing a system prompt, and selecting an AI model; adding knowledge by uploading documents or URLs; and deploying the agent by embedding a snippet on a website or connecting to communication channels.