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  1. Stackups
  2. AI
  3. Agent Platforms
  4. AI Agent Platform
  5. Ainisa AI vs ops0

Ainisa AI vs ops0

OverviewComparisonAlternatives

Overview

Ainisa AI
Ainisa AI
Stacks1
Followers2
Votes1
ops0
ops0
Stacks0
Followers1
Votes1

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Detailed Comparison

Ainisa AI
Ainisa AI
ops0
ops0

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).

ops0 is the world's first AI Infrastructure Operator. Infrastructure Agent - Discover cloud resources, auto-generate Terraform, import into state. Configuration Agent - Write Terraform, Ansible, Kubernetes manifests from plain English. Operations Agent - Hive monitors Kubernetes 24/7, detects incidents, suggests fixes. Also includes policy enforcement, compliance, cost optimization, and workflow automation. For DevOps engineers, SREs, platform engineers, cloud architects, and IT consulting firms. See everything. Control everything. Fix faster.

no-code ai agents, sales agents, customer support agents, whatsapp agents, telegram ai agents, custom gpt, custom ai, train ai
Infrastructure as Code, Terraform, Kubernetes Monitoring, Ansible, AI-Powered, Cloud Management, Policy Enforcement, Compliance, DevOps Automation, Workflow Automation, Multi-Cloud, AWS, GCP, Azure, Incident Detection, Cost Optimization, GitOps
Statistics
Stacks
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Stacks
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Followers
2
Followers
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Votes
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What are some alternatives to Ainisa AI, ops0?

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Engati

Engati

It is a free chatbot platform to build bots quickly without any coding required. It allows you to build, manage, integrate, train, analyse and publish your personalized bot in a matter of minutes.

Dialogflow

Dialogflow

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

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

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.

Botpress

Botpress

Botpress is an open-source bot creation tool written in TypeScript. It is powered by a rich set of open-source modules built by the community. We like to say that Botpress is like the WordPress of bots; anyone can create and reuse other peo

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

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.

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.