Logrine is a product of MaxxLabs, an AI-native product studio based in Bengaluru, India. We build synthetic datasets and evaluation benchmarks, and we show our working.
Teams building with language models run into the same wall. They can produce thousands of examples in an afternoon, and then have no reliable way to tell whether those examples are good, whether they resemble real users, or whether a score on a test set means anything.
We think that gap, between generating data and trusting it, is where the real work and the real risk sit. Logrine exists to close it with measurement, documentation and human review.
A claim about data quality is only worth making if we can show the measurement behind it.
Synthetic data is judged by how it compares with human-labeled, real-world examples, not by how plausible it reads.
Every dataset card lists its limitations. A limitation we found and wrote down is better than one a customer finds later.
If synthetic data is not the right fix for your problem, we will say so.
Logrine is early. A pilot is in progress, human reviewers are in place, and we are taking a limited number of design partners.
MaxxLabs builds AI products one at a time, taking each to real users before starting the next. Logrine is the one we are focused on now.
Talk to us about a pilotSynthetic datasets and evaluation benchmarks for teams shipping LLMs and AI agents, delivered with the evidence.