What we produce
- Computer vision: facial recognition (RetinaFace, FaceNet), identification, rights clearance.
- Automatic multilingual tagging, classification, transcription.
- LLMs and agents connected to the company’s content assets.
- Semantic and vector search.
- AI training for quality: training, tuning and controlling the models to make production results reliable.
- Workshops on “AI that is genuinely useful in content production”.
How we work
We start with a measurable use case: time to find an asset, error rate on rights, time to market. The model is trained and tuned on your content, then continuously monitored. Anything that does not bring measurable quality is not deployed.
Why RightCell
Facial recognition linked to contractual rights, multilingual tagging at ingestion, LLMs and vector search: already deployed with major accounts, not in demonstration.