Normalize requests, reject malformed input and apply size/permission limits before any model sees the work.
One Aridon. The best available AI for each job.
The user should not have to decide whether a task belongs in ChatGPT, Claude, Gemini, Grok, DeepSeek or a local model. Aridon classifies the work, routes it, preserves company context and falls back automatically.
Use the specialists that are actually connected.
What Aridon does with each kind of work.
| Task | First choice | Fallback |
|---|
The architecture behind the button.
Detect research, social intelligence, coding, multilingual, long-context, creative, private-local or general executive work.
Send the job to the strongest configured provider for that task and fall back automatically if it fails.
Pull tenant context, company knowledge, uploaded files, executive memory and semantic retrieval into the task.
Plan, delegate, inspect specialist output, retry weak work and stop when the definition of done is met.
Only approved tools can act. Consequential actions remain behind human approval gates.
Track provider attempts, latency, fallbacks, usage events, audit records and final outcomes.
Return the answer, file, deck, report or queued action with the routing and approval state preserved.
Private jobs can stay on a local model.
If an OpenAI-compatible local endpoint is configured, requests that explicitly ask to remain local or offline can be routed there first. That supports Ollama, LM Studio, vLLM and similar local deployments without changing the Aridon interface.