Balzac AI

Unify

Contact for Pricing

Optimize LLM performance, cost, and speed via unified API.

About

Unify offers a consolidated approach to managing interactions with multiple Large Language Models. Rather than juggling separate integrations and APIs for every model provider, users can access various LLMs through a single, unified API. By automatically selecting the optimal model according to requirements for speed, cost, or output quality, Unify eliminates manual selection and guesswork from the process.

Users can fine-tune how Unify selects models, leveraging the platform’s up-to-the-minute benchmark data to get the most out of competing options. The system is adaptable to diverse needs, including high-volume deployment, tailored routing rules, or fast experimentation with different LLMs. Whether aiming for minimal latency, budget constraints, or prioritizing output quality, teams can adjust Unify’s behavior to fit technical or business objectives.

This platform is particularly helpful for organizations running applications where LLM performance, cost efficiency, or flexibility is a competitive factor. It is suited for technical professionals managing LLM workflows at scale, while also accommodating experimentation and customization for specialized environments.

Who is Unify made for?

CTO / Head of Engineering Software Developer / Engineer Data Analyst / BI Specialist
Small team (2-5 people) Startup (6-10 people) Growing startup (11-25 people)

Unify serves professionals responsible for building, deploying, or maintaining AI and machine learning systems that depend on text generation or language model outputs. Common users include software developers working on AI-driven applications, data scientists conducting model evaluation or experimentation, and engineering leaders managing production systems at tech startups and growing companies.

The solution is especially relevant for teams in sectors like e-commerce (improving chatbots or recommendation engines), digital marketing (content creation, campaign automation), and AI research (model testing across providers). It also addresses specialized needs in financial services—such as deploying fraud detection models using different LLMs—and in healthcare for analyzing patient data with sophisticated language models.

By reducing the effort involved in integrating and maintaining multiple LLM vendors, Unify helps these professionals optimize for operational efficiency, performance, and cost across diverse use cases.