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Ainisa AI
ByJavidJavid

Ainisa AI

#43in Chatbots & Assistants
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Followers1
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What is Ainisa AI?

Ainisa is the agentic AI platform that actually works: Train agents on your data (products/FAQs/orders), deploy to WhatsApp, Telegram, or website in minutes, and let them take real actions—book meetings, trigger n8n/Zapier, fetch Stripe orders, fill forms, close deals. Bring your own OpenAI/Claude key for zero hidden costs. No markups, no hallucinations. Launch special: First 100 sign-ups get 20% off for 3 months. 4 ready templates: General, Customer Support, E-commerce, Lead Gen. Perfect for e-com stores, agencies, and solo founders. Start free (200 messages/50 chats/mo).

Ainisa AI is a tool in the Chatbots & Assistants category of a tech stack.

Key Features

no-code ai agents, sales agents, customer support agents, whatsapp agents, telegram ai agents, custom gpt, custom ai, train ai

Ainisa AI Pros & Cons

Pros of Ainisa AI

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Cons of Ainisa AI

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Ainisa AI Alternatives & Comparisons

What are some alternatives to Ainisa AI?

Telegram Bot API

Telegram Bot API

Bots are third-party applications that run inside Telegram. Users can interact with bots by sending them messages, commands and inline requests. You control your bots using HTTPS requests to our bot API.

Dialogflow

Dialogflow

Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

Microsoft Bot Framework

Microsoft Bot Framework

The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.

IBM Watson

IBM Watson

It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.

Messenger Platform

Messenger Platform

With bots and live-messaging tools, you can create a custom experience for your unique audience.

Amazon Lex

Amazon Lex

Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.

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