Klono
Klono.ai provides a unified orchestration platform that connects leading AI models—including OpenAI, Claude, Gemini, Grok, and Llama—with 200+ SaaS applications via the Model Context Protocol (MCP). The platform enables organizations to build intelligent, private AI assistants with custom model-enhancing layers, fine-tuning, and multimodal interactions across text, voice, and visual interfaces. By unifying diverse AI tools into a single operational layer, Klono.ai simplifies deployment and accelerates time-to-value for complex AI initiatives.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
- Developer Tools
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations struggle to integrate multiple AI models and SaaS applications into cohesive, automated workflows, often resulting in fragmented systems, data silos, and limited scalability. Managing diverse AI providers, customizing models, and ensuring secure, private interactions across text, voice, and visual interfaces remains operationally complex and technically demanding.
Solution
Klono.ai provides a unified orchestration platform that connects leading AI models—including OpenAI, Claude, Gemini, Grok, and Llama—with 200+ SaaS applications via the Model Context Protocol (MCP). The platform enables organizations to build intelligent, private AI assistants through custom model-enhancing layers, fine-tuning, and code extensions. It supports multimodal interactions across text, verbal, and touch interfaces, including video, audio, voice, and robotics systems. Klono.ai exposes AI capabilities through secure APIs, allowing seamless integration into existing enterprise infrastructure. The platform's orchestration core manages model routing, workflow automation, and data governance, ensuring consistent performance and compliance. By unifying disparate AI tools into a single operational layer, Klono.ai simplifies deployment and accelerates time-to-value for complex AI initiatives.
Target Audience
Primary customers are enterprise organizations, AI engineering teams, and system integrators seeking to deploy private, multimodal AI assistants across diverse workflows and integrate them with existing SaaS ecosystems.
Features
- Model Enhancing: Custom layers, fine-tuning, and code extensions for tailored AI behavior
- MCP Integrations: 200+ SaaS applications connected via Model Context Protocol for unified data access
- Multimodal Support: Text, verbal (video/audio/voice), and touch (visual controllers/robotics) interaction channels
- Secure API Access: Expose AI capabilities through enterprise-grade, authenticated APIs
- Orchestration Core: Centralized model routing, workflow automation, and governance management
- Multi-Provider Compatibility: Unified access to OpenAI, Claude, Gemini, Grok, and Llama models