Choose from our curated collection of pre-designed templates, each tailor-made for specific use cases. Each template is armed with a suite of robust instructions meticulously crafted to suit your chosen application.
Prefer to pioneer your own path? Utilize the master template as your canvas, allowing you to shape your copilot's instructions according to your preferences.
Infuse your distinct identity into your copilot or align it seamlessly with your organization’s priorities. Harness the ability to upload diverse data types from files and links to documents and beyond. This empowers your GenAI copilot to learn from your unique data, adopting your tone and absorbing pertinent background information.
Once your copilot takes shape, fine-tuning is a breeze. Run tests, enrich or modify data sources, and calibrate its instructions effortlessly. Ready for the world to experience your creation? Integration is seamless – whether you wish to embed it within your website (in chatbot, search, and more formats), transform it into a plugin, or directly operate it from your copilot console. Your AI copilot is primed to take flight!
Unleash Limitless Potential.
Optimize Outputs.
Minimize Costs.
Drowning in the sea of choi2es between ChatGPT, BERT, Llama or other LLMs? The Maigrate Optimizer erases uncertainty by leveraging the optimal LLM for each query, ensuring peak output accuracy. It's the genius behind elevating your copilot's responses to unmatched levels.
Why bear the brunt of full LLM API costs for elementary queries like "what's 2+2"? Maigrate revolutionizes the landscape by finely tuning LLM costs to match true requirements, all without compromising precision. No more shelling out excess funds – it's about paying exactly what's essential for each query.
Shackled by exorbitant development licenses for your GenAI initiatives? Maigrate flips the script by granting you complimentary access to your initial queries. From there, scalability is in your hands, enabling you to calibrate licensing expenses in harmony with your demands and usage patterns.