The conversation intelligence platform banks, insurers and customer-facing teams run in production.

The original wager: speech and language models had crossed the line where the tedious parts of contact-center work — transcribing, classifying, scoring, evaluating — could be done at the volume a contact center actually runs, not on a sample. We did not grow by hiring fast. We grew by getting the platform into real production at real customers — OTP Bank, UNIQA Insurance Group, Aventus, USG, Nova Pay, Dila Medical Lab, Fozzy Group, Dobrobut — and each deployment forced it to handle another language, another integration stack, another regulator. Today a focused team across six countries designs, ships and maintains the platform end to end. Global footprint. Real customers. Real production load.

Nothing here is self-declared: every line is a public record by the organizer, the jury or the review platform, registered in our claims file with the date it was checked.

The Ender Turing AI Research Lab is where the platform's methods come from: speech recognition, spoken-language identification, speech emotion recognition across languages, natural language processing and large language models — published, peer-reviewed, and shipped into production. Every release is still benchmarked the way a paper would be: on measured accuracy, per language, against a baseline.