[ 03 · AI MODEL TRAINING ]
Models trainedon your world.
We build custom speech, translation and language models from your data, including low-resource languages where general models fall short.
[ WHAT WE TRAIN ]
PICK A MODEL · SEE WHAT IT DOESSix model types. One data-first method.
Speech recognitionBENCH · 01AUDIO → TEXT
INPUT · AUDIOA recorded conversation, accents and all.
YOUR MODEL
OUTPUT · TEXTAn accurate transcript, mixed languages kept intact.
Transcription tuned to your speakers, accents, vocabulary and the languages they mix.
WE TUNE FOR
- Accents
- Domain vocabulary
- Code-switching
[ WHERE GENERAL MODELS FAIL ]
Common data makes common models.
Off-the-shelf models learn what’s on the internet. Real work is full of things that aren’t.
- Mixed languagesSpeakers switch between Amharic and English mid-sentence, especially with technical and medical terms.
- ScriptsThe same word can appear in Ge’ez script, in English, or in Latin letters. Models need to handle all three.
- Domain vocabularyMedical, legal and accounting terms are rare in public data, so general models guess.
- Dialects & accentsRegional speech differs; training data has to cover the people who’ll actually use it.
[ HOW WE TRAIN ]Data first.
Data first.
Then everything else.
A model is only as good as what it learns from. Four stages, run in order, every time. The loop starts again when new data arrives.
STAGE 01 / 04Most of the work is here. We collect real recordings, documents and text from your domain, clean them, and label them with people who know the field. Mixed languages and scripts are normalized so the model learns what people actually say and write, and a test set is held back that the model never sees.
- Domain data collection
- Cleaning & normalization
- Expert labeling
- Held-out test set
[ MODEL WORK ]
Models we’re training
- Bekur speech modelsAmharic clinical speech recognition with English medical terms, powering Bekur.CASE STUDY →
- English ↔ Amharic translationA bidirectional translation model for general and medical text, built for commercial use.
- Latin ↔ Ge’ez transliterationLexicon-first transliteration for mixed Amharic-English text, with a rule-based fallback.
[ WHAT YOU GET ]
More than a model file
- 01A trained modelReady to deploy where you need it.
- 02Evaluation reportHow it performs on your own held-out cases.
- 03Training pipelineReproducible, so the model can be retrained as data grows.
- 04DeploymentAPI, private cloud or CPU, wired into your product.