Aither — the AI agent platform that operates on your real systems

Aither is a platform to build, deploy and coordinate specialized AI agents that act on your real systems — not isolated experiments or decorative chatbots. Each agent diagnoses, executes tasks and learns from your operation day by day: it queries your data, operates your services and coordinates with other agents to resolve complete workflows. The key difference is control: observability and traces per agent, granular permissions and governance, and a single place where you see what each agent did, which tools it called and where it failed. Under the hood it combines LLM automation, RAG over your private data and tool orchestration via MCP (Model Context Protocol), connecting your agents to the growing tool ecosystem without hand-wiring integrations. It is the AI the big players deploy, packaged so your company can put it into production — from strategy to operations.

• Companies that want to automate with real AI, not pilots that never reach production
• Teams that need agents acting on their real systems, data and services
• Operations that want to coordinate several specialized agents in a single workflow
• Organizations with control, permission and governance requirements over what AI does
• Teams already using LLMs who want observability and traceability for every agent

1. A company that wants one agent to query its ERP, CRM and knowledge base — combining those sources into a single actionable agent.
2. An operation with several specialized agents — support, data and monitoring — coordinated in one workflow with end-to-end traces.
3. A team automating repetitive tasks with copilots connected to its systems, instead of copy-pasting between tools.
4. An IT operations team deploying agents to diagnose incidents and run runbooks on its own infrastructure.