Unify AI

Available at unify.ai, the platform is designed for engineering teams and AI builders who need precise control over their LLM infrastructure offering a modular, fully customizable environment where every interface, metric, and integration can be adapted to the specific requirements of each team's AI product rather than conforming to pre-built enterprise assumptions.

The platform's unified LLM access layer allows developers to switch between providers including OpenAI, Anthropic, Google, and open-source models without changing application code.

This provider-agnostic architecture eliminates the vendor lock-in that forces engineering teams into costly migrations when better models emerge or pricing changes make a different provider economically advantageous.

By abstracting the provider interface into a consistent API, Unify enables teams to evaluate multiple models in parallel and route traffic based on performance, cost, and latency requirements without infrastructure changes.

Unify's data logging system enables developers to capture, store, and analyze LLM inputs, outputs, and performance metrics at production scale.

The platform provides four composable interface components for working with logged data: tables for structured data organization, views for filtering and segment analysis, plots for visualizing trends and performance distributions, and an editor for data manipulation and transformation.

These components can be combined and customized into bespoke monitoring interfaces that track exactly the metrics relevant to each team's product rather than the generic metrics dashboards that one-size-fits-all observability tools provide.