About Metricus

The data layer between
AI and business.

Metricus measures how AI represents businesses and makes that data actionable for everyone. It shows the answer AI gives when your customers ask for what you sell, with every business it names, and gives new text for your website. Free, no signup, no card.

The team

Recommender systems
and AI researchers.

Metricus was founded by researchers whose work spans recommender systems, information retrieval, natural language processing, and applied machine learning. Before building Metricus, the team spent over a decade studying the mechanisms that determine what algorithmic systems surface, and what they bury.

When large language models became the new interface layer between consumers and businesses, we recognized the problem immediately: the same dynamics that govern search ranking and recommendation feeds now govern AI-generated answers.

Team expertise

What the team has worked on.

Recommender Systems

Collaborative filtering, content-based ranking, hybrid recommendation architectures, and the evaluation methods used to measure their accuracy.

Information Retrieval

Retrieval-augmented generation, source selection and ranking in generative systems, and how grounding data propagates into AI-generated answers.

Natural Language Processing

Entity recognition, semantic similarity, and sentiment and stance classification in generated text.

Statistical Methods

Non-parametric hypothesis testing, bootstrap confidence intervals, and effect size estimation for stochastic text outputs.

Get in touch.

Questions, partnership inquiries, or press requests.