Humiris AI

About Humiris AI

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.

<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. </problem> <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. </solution> <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 </features> <target_audience> Humiris targets AI engineers, developers, and organizations building AI-powered applications in industries such as coding, fintech, and healthtech. </target_audience>

What does Humiris AI do?

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.

Where is Humiris AI located?

Humiris AI is based in San Francisco, United States.

When was Humiris AI founded?

Humiris AI was founded in 2023.

Location
San Francisco, United States
Founded
2023
Employees
6 employees

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Humiris AI

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Executive Summary

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.

humiris.ai300+
Founded 2023San Francisco, United States

Funding

No funding information available.

Team (5+)

No team information available.

Company Description

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.

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

Target Audience

Humiris targets AI engineers, developers, and organizations building AI-powered applications in industries such as coding, fintech, and healthtech.

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