Akintu is an AI-powered customer engagement platform that enables businesses to create intelligent sales and support agents trained on their own data.
Instead of generic chatbots, Akintu uses Retrieval-Augmented Generation (RAG), custom knowledge bases, system prompts, guardrails, and business workflows to deliver accurate, context-aware conversations.
Businesses can deploy AI agents on their website in minutes, customize their behavior, connect external tools, qualify leads, answer customer questions, and automatically book appointments or generate sales opportunities.
Akintu is designed for both technical and non-technical users, providing a no-code interface for configuring AI assistants while supporting advanced integrations and automation for enterprise use cases.
Get strated: https://akintu.io
- AI agents trained on company knowledge
- RAG-based knowledge retrieval
- Custom system prompts
- Guardrails and safety rules
- Lead qualification
- Appointment booking
- Website chat widget
- Business workflow automation
- Analytics and conversation insights
- Multi-language support
- Human handoff
- API and third-party integrations
1. Automated Lead Qualification & Pre-Sales
2. Direct Calendar & Meeting Booking
3. 24/7 Context-Aware Customer Support
4. Multilingual Customer Onboarding
5. Intelligent Human-in-the-Loop Handoff

Hey Fazier community! 👋 We built Akintu to address a constant issue we kept seeing across SaaS and e-commerce websites: high bounce rates on site traffic because standard chatbots simply don't deliver useful answers. Most traditional chatbots either rely on rigid, decision-tree decision flows that annoy users or generic LLM wrappers that make things up when asked specific product questions. To fix this, we created Akintu. It combines Retrieval-Augmented Generation (RAG) with custom knowledge bases, system prompts, and strict guardrails. This allows businesses to launch an AI sales and support agent trained directly on their own data in just a few minutes. Here is what the platform handles natively: • Instant, context-grounded answers to technical product and pricing questions • Automated lead qualification based on custom screening rules • Direct calendar integration to book demo calls automatically • Seamless handoff to human support agents when complex issues arise We built this to serve both non-technical founders through a simple no-code builder and enterprise teams that need custom APIs and automated workflows. We would love to get your feedback on the user interface, agent response flow, or any features you would like to see added next!

Hey Fazier community! 👋 We built Akintu to address a constant issue we kept seeing across SaaS and e-commerce websites: high bounce rates on site traffic because standard chatbots simply don't deliver useful answers. Most traditional chatbots either rely on rigid, decision-tree decision flows that annoy users or generic LLM wrappers that make things up when asked specific product questions. To fix this, we created Akintu. It combines Retrieval-Augmented Generation (RAG) with custom knowledge bases, system prompts, and strict guardrails. This allows businesses to launch an AI sales and support agent trained directly on their own data in just a few minutes. Here is what the platform handles natively: • Instant, context-grounded answers to technical product and pricing questions • Automated lead qualification based on custom screening rules • Direct calendar integration to book demo calls automatically • Seamless handoff to human support agents when complex issues arise We built this to serve both non-technical founders through a simple no-code builder and enterprise teams that need custom APIs and automated workflows. We would love to get your feedback on the user interface, agent response flow, or any features you would like to see added next!
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