Eight capabilities. One intelligent stack.
From raw data collection to model-ready annotation to production deployment — everything your AI needs, under one roof, with one SLA, and zero vendor juggling.
Every data type. Every stage of the AI lifecycle.
Purpose-built capabilities for AI labs, enterprise product teams, and research organizations that need more than labels — they need a partner who understands the model they're building.
Data Annotation
Production-grade labeling across every modality — image, video, audio, text, LiDAR — by domain-trained specialists with ISO-aligned QA at every layer.
ExploreData Sourcing
Real-world and synthetic data collection across every modality and language. Field collection, web crawling, enterprise ingestion — compliance built in from day one.
ExploreOff-the-Shelf Datasets
Pre-built, commercially licensed datasets — ready to ingest into your training pipeline today. No annotation queue, no wait. Zero lead time.
ExploreInverse Text Normalization
Converting spoken-form text into written form across 30+ languages — numbers, currencies, dates, medical terms, legal entities. The post-processing layer speech AI can't ship without.
ExploreMultilingual Annotation
30+ global languages, 20+ Indian languages, dialect-level precision. Native speakers — not translators. Cultural context, code-switching, and regional QA built into every project.
ExploreTrust & Safety
Content moderation, safety classifier training, red-teaming, and fraud detection datasets — with annotator wellbeing protocols that protect the people doing the hardest work.
ExploreTechnology Annotation
LLM fine-tuning, RLHF, prompt engineering, MLOps, code review, and security annotation across 17+ programming languages — done by SDE-2 to SDE-4 engineers, not generalist crowdworkers.
ExploreSoftware Development
Custom AI-adjacent applications — from rapid PoC to full-scale production. Architecture, build, test, deploy under one team that understands the AI stack they're building on.
ExploreOne partner across the entire AI data lifecycle.
Most AI teams stitch together three or four vendors to get from raw data to model-ready output. Nextura is built to cover all of it — under one contract, one QA framework, and one team that stays accountable start to finish.
Collect & Annotate
Multi-modal data sourcing, expert annotation across every format, and ISO-aligned quality controls built for volume without sacrificing the accuracy your model depends on.
Train & Fine-Tune
RLHF orchestration, domain fine-tuning, instruction tuning, and adversarial validation — the data engineering that sits between raw labels and a model that actually performs.
Deploy & Operate
LLM deployment, AI agent pipelines, and enterprise software integration — from data to production, with the engineering discipline to keep it running.