We help model labs and enterprises build, train, deploy, and govern intelligent systems through high-quality data, human expertise, and end-to-end platforms that turn complexity into scalable, real-world impact.
Our Vision




Data Products
AI doesn’t fail because of models; it fails because of data that doesn’t reflect the real world. Centific’s data products provide the human intelligence, domain expertise, and real-world signals needed to train, align, and scale AI systems that work beyond the lab.
Research
Centific AI Research advances foundational AI toward artificial general intelligence by transforming data, signals, and human insight into next-generation intelligent systems.
Human + AI for Accelerating Ad Localization Evaluation
A modular framework for multilingual ad localization that combines scene text detection, inpainting, translation, and text reimposition, producing visually coherent and semantically accurate outputs with human-in-the-loop support.
ContraGen: A Multi-Agent Generation Framework for Contradictions Detection
A multi-agent framework for generating and detecting contradictions in synthetic enterprise documents, using hybrid NLI + LLM reasoning and human validation to benchmark and improve contradiction handling in RAG systems.
Scalable Multilingual PII Annotation for Responsible AI in LLMs
A multilingual, human-in-the-loop framework for PII annotation across 13 locales. Our phased pipeline boosts recall, lowers false positives, and delivers high-quality datasets for fine-tuning safer LLM guardrails.
Human + AI: Large-Scale Data Curation for Multilingual Guardrails
An AI-assisted framework that accelerates multilingual prompt authoring with synthetic PII and LLM-based validation, reducing annotation time by over 40% for underrepresented languages.
GAZE: Governance-Aware Pre-Annotation for Zero-shot World Model Environments
A multi-modal framework to automate video annotation for world models using AI, cutting manual review time by 31% and reducing human effort by >80% to solve the data bottleneck in AI training.
An Evaluation Study of Hybrid Methods for Multilingual PII Detection
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
A multi-agent framework for generating synthetic legal documents with contradictions to benchmark and improve RAG systems. It enables systematic evaluation of contradiction detection and resolution through automated mining and human-in-the-loop validation.
Platforms
The infrastructure
behind world-class AI models
Customer Stories
Proven results
with leading AI teams.
See how organizations use Centific’s data and expert services to build, deploy, and scale production-ready AI.
Connect with Centific
Updates from the frontier of AI data.
Receive updates on platform improvements, new workflows, evaluation capabilities, data quality enhancements, and best practices for enterprise AI teams.


















