ReinaX

A multi-LLM AI workforce, not a single-model chatbot

Counted from the engine, not the brochure

Most AI platforms give you one model. ReinaX gives you the right one per task.

33Model providers, switchable per task
20Messaging and voice channels
UnlimitedAgents you define yourself
3Self hosted routes for private models

These figures are counted directly from the ReinaX engine's extension registry. They are capabilities in the product, not a roadmap.

Side by side

Where a workforce platform differs from an agent product.

ReinaX compared with the common shape of AI agent and AI employee products.
CapabilityReinaXTypical AI agent platform
Model providers you can route to33, switchable per taskTypically one, sometimes two
Bring your own provider keysRare
Run fully local or self hosted modelsOllama, vLLM, SGLang
Messaging and voice channels agents work in20Usually Slack and web
Agent countUnlimited, you define themFixed catalogue or per-agent pricing
Agent to agent delegationYour own org hierarchy with reporting linesFlat or single agent
Builds and previews deployable softwareReina Code, live preview
Video, image and motion generationStudio
Teach by demonstrationRecords a browser task, saves it as a reusable skill
Agent tool surfaceShell, file read and write, edit, grep, browserPrebuilt connectors only
Recurring operationsJobs, flows, cron schedules, run historyVaries
Pricing modelPer workspaceCommonly per seat or per agent

The right hand column describes the common pattern across AI employee and agent builder products rather than any single vendor, because each one differs and their plans change often. Check any vendor directly before deciding.

Every provider an agent can be pointed at.

The full list of integrations, categorized for easy reference.

The full list

Every provider an agent can be pointed at.

  • OpenAI
  • Anthropic
  • Anthropic on Vertex AI
  • Google AI
  • Amazon Bedrock
  • Mistral AI
  • DeepSeek
  • Moonshot AI (Kimi)
  • MiniMax
  • Z.ai (GLM)
  • xAI (Grok)
  • Qwen
  • Perplexity
  • Groq
  • Together AI
  • OpenRouter
  • Hugging Face
  • NVIDIA
  • Ollama
  • vLLM
  • SGLang
  • Cloudflare AI Gateway
  • Vercel AI Gateway
  • BytePlus
  • Volcengine
  • Baidu Qianfan
  • Alibaba Cloud Model Studio
  • Chutes AI
  • Venice AI
  • Synthetic
  • GitHub Copilot
  • Copilot Proxy
  • Kimi Coding

Channels agents work in

Integrated communication platforms.

  • WhatsApp
  • Telegram
  • Slack
  • Discord
  • Microsoft Teams
  • Signal
  • Google Chat
  • Matrix
  • Mattermost
  • Feishu
  • LINE
  • Zalo
  • Nextcloud Talk
  • Synology Chat
  • Twitch
  • IRC
  • Nostr
  • Tlon
  • Voice calls
  • Phone control

The complete ledger

Every capability, named.

Counted from the engine's own registry rather than a brochure: 5 research providers, 5 voice and speech surfaces, and ten capability groups, all live today.

01

Research and search

  • Perplexity
  • Exa
  • Tavily
  • Brave Search
  • Firecrawl
  • Browser research
  • Citation-backed answers
02

Voice and speech

  • Voice conversations
  • Text to speech
  • Speech to text
  • Voice calls
  • Phone control
03

Models and routing

  • 33 model providers
  • Per-task model switching
  • Bring your own keys
  • Self-hosted models
04

Agents and delegation

  • Custom agents
  • Org-chart reporting lines
  • Agent-to-agent delegation
  • Shared company context
05

Messaging channels

  • WhatsApp
  • Telegram
  • Slack
  • Discord
  • Microsoft Teams
  • Google Chat
  • LINE
06

Media and documents

  • Image generation
  • Video generation
  • Motion restyle
  • Presentations
  • Documents
  • Spreadsheets
07

Developer tools

  • Reina Code
  • Live preview
  • Shell
  • File read and write
  • Edit and grep
  • API endpoints
08

Automation

  • Scheduled jobs
  • Flows
  • Cron schedules
  • Webhooks
  • Run history
  • Reusable skills
09

Data and integrations

  • Browser
  • Business files
  • GitHub
  • Supabase
  • Extension registry
10

Governance and control

  • Isolated workspaces
  • Projects
  • Encrypted vault
  • Human approval
  • Usage telemetry

Questions

Straight answers.

What is a multi-LLM AI workforce?

A workforce where each agent can be pointed at a different model, chosen per task by capability and cost, instead of every job running through one provider. ReinaX connects to 33 model providers, so a research agent can run on a reasoning model, a bulk classification agent on a cheap fast model, and a coding agent on a specialist coding model, inside the same workspace.

Which AI providers does ReinaX support?

Thirty three, including OpenAI, Anthropic, Google, Amazon Bedrock, Mistral, DeepSeek, Moonshot, MiniMax, Z.ai, xAI, Qwen, Perplexity, Groq, Together, OpenRouter and Hugging Face, plus self hosted routes through Ollama, vLLM and SGLang.

Can ReinaX run models on our own infrastructure?

Yes. Ollama, vLLM and SGLang are supported, so models can run inside your own network when data residency matters, while the rest of the platform stays managed.

How is this different from an AI employee product?

AI employee products usually sell a fixed set of prebuilt roles on one underlying model, priced per agent. ReinaX gives you the layer beneath that: you define the agents, arrange them into your own hierarchy where senior agents delegate to their reports, and choose the model per task.

Where can the agents actually work?

Twenty messaging and voice channels, including WhatsApp, Telegram, Slack, Discord, Microsoft Teams, Signal, Google Chat, Matrix and LINE, plus voice calls. Requests reach agents where your team and customers already talk.

Does more choice mean more setup?

No. Plans from Open Models upward include models with no keys to configure. Bring your own provider exists for teams that already hold contracts and want to use them.

Start free for 5 days

Want a tailored AI department plan for your business?

One click — no forms. We'll email you a plan matched to your team.