Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.

Powering Tomorrow's AI with


Powering AI with

Powering Tomorrow's AI with

World-Class Data.

World-Class Data.

World-Class Data.

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.

The hidden infrastructure behind world-class AI models

The hidden infrastructure behind world-class AI models

Our Vision

Our Vision

Built for Companies
Building the Future of AI

Built for Companies
Building the Future of AI

Built for Companies
Building the Future of AI

Centific builds the data engines behind frontier models. We generate, refine, and operationalize real-world signals across language, vision, behavior, and expertise, so AI systems learn faster, generalize better, and perform in production.

From RLHF to multimodal environments, we power the continuous data loops that turn models into products.

Centific builds the data engines behind frontier models. We generate, refine, and operationalize real-world signals across language, vision, behavior, and expertise, so AI systems learn faster, generalize better, and perform in production.

From RLHF to multimodal environments, we power the continuous data loops that turn models into products.

Global data pipelines for training at scale

Global data pipelines for training at scale

Global data pipelines for training at scale

Automated labeling, curation, and enrichment

Automated labeling, curation, and enrichment

Automated labeling, curation, and enrichment

Human feedback for model alignment and safety

Human feedback for model alignment and safety

Human feedback for model alignment and safety

Continuous data loops for production AI

Continuous data loops for production AI

Continuous data loops for production AI

Data Products

Data Products

Data Products

Tomorrow's AI requires data that is

Tomorrows AI requires data that's

Culturally aware.

Culturally aware.

Culturally aware.

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.

  • Train agents that perform in the real world

    Centific designs and operates high-fidelity reinforcement learning environments with human-in-the-loop agents that mirror real-world complexity. From physical AI and robotics to workflow automation and decision systems, we create data loops that continuously improve agent behavior through real signals, edge cases, and human feedback.

  • Train agents that perform in the real world

    Centific designs and operates high-fidelity reinforcement learning environments with human-in-the-loop agents that mirror real-world complexity. From physical AI and robotics to workflow automation and decision systems, we create data loops that continuously improve agent behavior through real signals, edge cases, and human feedback.

  • Turn raw models into trusted, aligned AI systems

    We power RLHF pipelines at scale by combining expert raters, multilingual communities, safety frameworks, and proprietary orchestration. Our workflows help model builders refine reasoning, reduce hallucinations, improve tone and intent, and align outputs to real user expectations—across domains, languages, and risk profiles.

  • Turn raw models into trusted, aligned AI systems

    We power RLHF pipelines at scale by combining expert raters, multilingual communities, safety frameworks, and proprietary orchestration. Our workflows help model builders refine reasoning, reduce hallucinations, improve tone and intent, and align outputs to real user expectations—across domains, languages, and risk profiles.

  • Ground model performance in human truth

    Centific delivers large-scale, statistically valid human evaluation across quality, safety, bias, relevance, and task success. Our global evaluator network and domain experts assess AI systems the way real users experience them, providing actionable signals that benchmarks and automated metrics alone can’t capture.

  • Ground model performance in human truth

    Centific delivers large-scale, statistically valid human evaluation across quality, safety, bias, relevance, and task success. Our global evaluator network and domain experts assess AI systems the way real users experience them, providing actionable signals that benchmarks and automated metrics alone can’t capture.

  • Create accurate data with real-world expertise

    We generate and orchestrate multimodal datasets across vision, speech, text, sensor, and interaction data. From physical environments and devices to robotics, retail, healthcare, and autonomous systems, Centific helps models learn from the full spectrum of real-world signals.

  • Create accurate data with real-world expertise

    We generate and orchestrate multimodal datasets across vision, speech, text, sensor, and interaction data. From physical environments and devices to robotics, retail, healthcare, and autonomous systems, Centific helps models learn from the full spectrum of real-world signals.

  • Train AI to see, hear, read, and reason together

    We generate and orchestrate multimodal datasets across vision, speech, text, sensor, and interaction data. From physical environments and devices to robotics, retail, healthcare, and autonomous systems, Centific helps models learn from the full spectrum of real-world signals.

  • Train AI to see, hear, read, and reason together

    We generate and orchestrate multimodal datasets across vision, speech, text, sensor, and interaction data. From physical environments and devices to robotics, retail, healthcare, and autonomous systems, Centific helps models learn from the full spectrum of real-world signals.

  • Build AI that understands the world

    Centific enables truly global AI through data in 200+ languages and regional variants, covering culture, context, tone, and compliance. From localization and sentiment to dialect, slang, and regulatory nuance, we help models perform naturally and safely across geographies.

  • Build AI that understands the world

    Centific enables truly global AI through data in 200+ languages and regional variants, covering culture, context, tone, and compliance. From localization and sentiment to dialect, slang, and regulatory nuance, we help models perform naturally and safely across geographies.

Research

Research

Research

Leading Applied Research

Leading Applied Research

Physical AI and Robotics

Physical AI and Robotics

Physical AI and Robotics

Centific AI Research advances foundational AI toward artificial general intelligence by transforming data, signals, and human insight into next-generation intelligent systems.

ART: Action-based Reasoning Task Benchmarking for Medical AI Agents

ART (Action-based Reasoning Task) is an evaluation framework for medical AI agents that targets clinically critical reasoning gaps missed by existing benchmarks. It introduces 600+ synthetic tasks across retrieval, trend analysis, and threshold-based conditional reasoning over EHRs—surfacing reliability and patient-safety risks in multi-step clinical decision support.

ART: Action-based Reasoning Task Benchmarking for Medical AI Agents

ART (Action-based Reasoning Task) is an evaluation framework for medical AI agents that targets clinically critical reasoning gaps missed by existing benchmarks. It introduces 600+ synthetic tasks across retrieval, trend analysis, and threshold-based conditional reasoning over EHRs—surfacing reliability and patient-safety risks in multi-step clinical decision support.

ART: Action-based Reasoning Task Benchmarking for Medical AI Agents

ART (Action-based Reasoning Task) is an evaluation framework for medical AI agents that targets clinically critical reasoning gaps missed by existing benchmarks. It introduces 600+ synthetic tasks across retrieval, trend analysis, and threshold-based conditional reasoning over EHRs—surfacing reliability and patient-safety risks in multi-step clinical decision support.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

Platforms

Platforms

The infrastructure

behind world-class AI models

From data orchestration to global collection and licensing, built to power enterprise and frontier AI systems.

From data orchestration to global collection and licensing, built to power enterprise and frontier AI systems.

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

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