Moderated sessions, crowd collection, healthcare data, e-commerce services, device testing, surveys, KYC flows, and field programs across image, video, text, and audio.
Text, image, audio, video, 3D, and multimodal annotation with custom workflows, auto pre-labelling, traceability, and human-in-the-loop quality control.
Translation, transcription, localization, voice quality evaluation, dialect capture, and language-specific review programs for multilingual AI systems.
AI strategy, applied ML, enterprise GenAI platforms, agents, retrieval-augmented workflows, and MLOps programs that take AI from concept to production.
NER, sentiment, intent, classification, semantic roles, OCR review, and prompt-response assessment.
Classification, detection, segmentation, key points, polygons, captioning, object tracking, and frame tagging.
Transcription, diarization, phoneme review, event detection, accent capture, and multilingual voice quality evaluation.
Point cloud annotation, 3D boxes, SLAM, geospatial mapping, image-text alignment, visual QA, and multimodal sentiment or intent tasks.
roadmaps and governance design
Use-case identification, prioritization, and AI strategy aligned with business goals.
production-grade models and analytics
Predictive systems, anomaly detection, risk scoring, and analytics that are engineered to operate reliably.
platforms, agents, and automation
We connect enterprise data into retrieval, fine-tuning, workflow automation, and AI agent architectures.
monitoring, drift, and version control
Monitoring, retraining, versioning, explainability, fairness, and security for enterprise standards.