Description
Agentim AI is a low-code platform for assembling AI workflows and teams of AI agents, aimed at businesses that want to automate processes without a custom engineering build. Workflows are built visually in a flow builder, with granular control over how each step of an AI process runs, from the prompt logic to which model handles it.
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A central feature is model choice: Agentim AI gives access to more than 150 large language models, so a team can pick the model suited to a specific task rather than being locked into one vendor. The platform includes hallucination-prevention controls and LLM cost-optimization tools aimed at keeping AI spending and output quality in check as usage scales, which matters once a team is running many agents across many channels at once.
Built agents connect to channels a support or operations team already uses, including Zendesk, Intercom and WhatsApp, plus general website embedding, so an AI agent can handle conversations directly inside those tools rather than in a separate interface. A finished agent can also be shared through a direct link, useful for testing a workflow or handing it to a non-technical teammate before it goes live on a website. The platform also supports Retrieval-Augmented Generation (RAG) pipelines for grounding answers in a company's own documents, and offers a Team Builder tier that adds custom nodes, branding removal, Google Search-based AI, and direct access to Azure, AWS Bedrock and Together AI.
Pricing includes a DIY tier at $129 a year, which layers on top of a lower plan and adds the 150+ model access, RAG pipeline, branding removal and cloud-provider integrations, billed with a credit system: the plan includes 10,000 AI credits, at roughly $0.05 per AI message. An Enterprise plan adds custom channels beyond Zendesk and Intercom, support for larger and more complex data sources, custom integrations, security adaptations and per-usage billing with LLM cost optimization, at custom pricing. Agentim AI is built for businesses that want to deploy a working team of AI agents into existing support and communication channels without hiring a dedicated AI engineering team to wire each integration by hand.
- CategoryAI Agent Builders
- Pricing ModelPaid
- DeploymentEmbeddable, Website Integration
- PlatformsWeb
Agentim AI's Core Features
Low-code workflow builder for assembling AI agent workflows
Access to 150+ LLM models
Hallucination-prevention controls
LLM cost-optimization tools
Integrations with Zendesk, Intercom and WhatsApp
Website embed option for deploying an agent directly on a site
RAG (Retrieval-Augmented Generation) pipeline support
Direct access to Azure, AWS Bedrock and Together AI on the Team Builder tier
Credit-based usage billing (about $0.05 per AI message)
How to use Agentim AI?
Sign up and log in: create an Agentim AI account
Build a flow: use the low-code builder to design an AI agent workflow
Pick your models: choose from 150+ supported LLM models for each step
Connect your channels: link Zendesk, Intercom, WhatsApp or embed the agent on your website
Set guardrails: turn on hallucination-prevention and cost-optimization controls
Deploy the agent team: launch the workflow to handle live conversations or tasks
Agentim AI's Use Cases
- Customer support automation
- WhatsApp automation
- Website AI agent
- Multi-model workflows
