Annota8

Humans teach the machine. Your AI is only as good as the people who taught it. No model is born smart. It learns from examples a person labeled — one box, one transcription, one tag at a time. The examples are the training data. The training data is the lesson. We build the operation that runs that teaching — from the MENA, for the labs defining sovereign Arabic AI and for global model teams who need training data they can trust. Live today: → The Annotation Engine — 180 annotation UIs across 7 modalities. Computer vision (bounding boxes, polygon segmentation, keypoints, video tracking). NLP (Arabic-native NER, intent, entity extraction). Audio (diarization, transcription across MSA, Gulf, Levantine, Egyptian, and Maghrebi dialects). RLHF preference pairs, OCR, document and multimodal annotation. Fine-tune a model, sharpen one, or teach a new one from scratch. → An AI assistant wired to all your annotation data. Ask in plain language — throughput, agreement scores, where a project stands, which batch slipped — and get real-time quality, progress, and history. No merged spreadsheets. No status meetings. Next on the sequence: workforce management, project management, and the worker portal — so the agents run more of the operation, while humans stay in the lead. Built for foundation-model labs producing training, fine-tuning, and RLHF data; teams shipping computer-vision, NLP, and multimodal models; and KSA, UAE, and Egyptian government AI programs. Deploy on-prem or in sovereign cloud, so your data can stay in-region — designed to support your data-residency and data-protection needs across the region. Arabic-first: RTL UI, dialect taxonomies, Cairo-based linguistic QA. We ran data-annotation operations for a decade — at Affectiva and Smart Eye — before we built the thing we always wished we had. Backed by 500 Global · Sanabil, MISA licensed. Your AI is only as good as the people who taught it. Let's make them great. Book a demo → annota8.ai