Humiris provides a platform that integrates multiple large language models (LLMs) to enhance AI communication and performance for developers. By enabling simultaneous access to various LLM outputs, it reduces the need for manual prompt adjustments, improving accuracy and efficiency in AI-driven applications.
Funding
Funding not disclosed
Founders
Product
Problem
Developing AI applications often requires extensive prompt engineering and fine-tuning of large language models (LLMs) to achieve optimal accuracy, speed, and cost-efficiency. Selecting the best LLM for a specific task can be challenging, and relying on a single LLM may limit performance and adaptability.
Solution
Humiris offers an AI mixture layer that integrates multiple LLMs, enabling developers to build high-performance AI applications with greater accuracy and speed at a lower cost. The platform's routing model intelligently selects the best LLM for each request based on quality, cost, speed, energy consumption, and privacy objectives. By combining the strengths of different LLMs, Humiris allows users to create custom reasoning models that outperform any single LLM. The platform supports various use cases, including chatbot development, fine-tuning, Retrieval-Augmented Generation (RAG), super agents, data analysis, and code generation.
Target Audience
Humiris targets AI engineers, developers, and organizations building AI-powered applications in industries such as coding, fintech, and healthtech.
Features
- LLM routing model that automatically selects the optimal LLM based on user-defined parameters
- Support for fine-tuning multiple LLMs from providers like OpenAI, Meta, Anthropic, Google, Mistral, and Cohere
- Specialized code generation capabilities for multiple languages and frameworks
- Flexible infrastructure options, including SaaS, private instance, and self-hosted deployments
- Compatibility with the OpenAI API, enabling seamless integration with existing software
- Advanced reasoning capabilities through mix-models that function as self-improving, autonomous brain networks
- Data privacy and compliance features, including data sovereignty and customizable retention policies