Model Context Protocol
MCP enables AI applications, including agents and large language models, to seamlessly connect with external data, tools, and software systems.
It gives the AI structured access to real time information and business intelligence, allowing it to operate with current, context rich data rather than static knowledge.
Vision Models
If you are using your own Large Language Model locally, you have the ability to choose Vision Models, such as Goggle Gemma, Ministral or Alibaba Qwen.
Upload images, understand visuals instantly, and reverse engineer image styles with ease. It reads charts, interprets diagrams, and understands layout context.Â
Multi Mode Mode
Choose two models, write one prompt, and see both responses side by side. Take the structure from one, the tone from another, or simply confirm which model handles your type of work better.
It’s a practical way to get more from AI without running the same prompt twice across different tabs.
Everything stays in one place, and the choice stays with you.
Retrieval-Augmented Generation
Running your own Chat App gives you control over context length, so you can adjust how much information the AI processes at once.Â
Create your own private knowledge base for answers grounded in your documents. Perfect for legal, HR new hires.
Let AI access your knowledgebase so it can search your documents, PDFs, and images instantly, delivering answers powered by your own data. AI assistants that can answer employee questions using company-specific guides, FAQs, and internal reports. Providing accurate information from internal documentation to answer internal questions about a specific product or policy.
Website ChatBot | Custom LLM
MTLabs chatbots plug directly into your website and run off your AI Server API.
The setup is clean: integrate once, and the chatbot draws processing power from your servers while maintaining consistent performance.
You can also connect via our AI Server API if that works better for you.
We train the chatbot based on your company information. Your documentation, product specs, FAQs, and brand voice become the foundation of how the bot responds. This ensures visitors get accurate answers specific to your business, not generic responses that could apply to anyone.
Once you have an AI brain running on your infrastructure, you can implement AI in any custom built app.
Your information, your data, and your custom configurations stay within your office. No third-party access, no cloud dependency, no per-seat subscription eating into your margins.
