| What it does | AI Operating System for building agentic AI solutions and automating conversations
| Brain-based AI that learns on your device without retraining, remembers you, and keeps your data private
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| Stage | Established
| Startup
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| Founded | Not given
| 2026
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| Based in | IT
| US
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| Pricing model | Freemium
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| Pricing | Free trial: 14 days with all premium features. Pro: €149/month (€124/month billed yearly), includes 3 users, 20 AI Agents, 5M AI Tokens per month, 3,000 conversations per month. Business: €499/month (€416/month billed yearly), includes 5 users, 50 AI Agents, 10M AI Tokens per month, 5,000 conversati
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| Key features | - Visual flow builder for AI agent design without coding
- Native knowledge base with RAG for accurate AI responses
- Multi-channel deployment across web, WhatsApp, voice, SMS, email and Facebook Messenger
- Human-in-the-loop with seamless escalation to human agents
- Prompt chaining for complex multi-step automation workflows
- MCP (Model Context Protocol) integration with external tools and APIs
- Multiple specialized AI agents with automatic routing
- Self-learning capabilities that improve from human interactions
- On-premises deployment with local LLMs and vector stores
- AI copilot for human agents with real-time assistance
| - Learns continuously on your device without retraining
- Remembers individual users separately
- Runs fully offline on consumer hardware like iPad
- Learns without forgetting existing knowledge
- Consistent performance over long conversations
- Honest about uncertainty
- User controls what it learns
- Works with existing language models
- Corrected facts replace outdated information
- Designed for disconnected networks
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| What makes it different | - Open-source platform with full control over source code and deployments
- No-code visual builder requiring zero programming knowledge
- Agentic architecture supporting task execution beyond text generation via MCP
- Self-learning agents that automatically improve from real conversations
- Deployment flexibility with cloud, on-premises, and local LLM options
| - Continual learning architecture that learns in place after deployment, unlike frozen models
- Brain-modeled design with separate organs for memory, sleep, and decision-making
- All learning happens on your device with no data sent to servers
- Works where cloud connectivity is unavailable or undesirable
- Patent-pending learning method usable with other large language models
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 64 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 1044 | 0 |
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Tiledesk
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