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.

Internationalization

Internationalization

Internationalization

Teach models to operate

Teach models to operate

Teach models to operate

across languages and cultures

across languages and cultures

across languages and cultures

Models trained primarily on English data exhibit biases and gaps when handling other languages, dialects, and cultural contexts. Internationalization ensures models understand linguistic nuance, cultural norms, and real usage patterns across global populations.

The hidden infrastructure behind world-class AI models

The hidden infrastructure behind world-class AI models

The hidden infrastructure behind world-class AI models

Overview

AI performance isn’t universal, its behavior depends on linguistic context.

AI performance isn’t universal, its behavior depends on linguistic context.

Centific helps organizations adapt models for real-world markets using AI-assisted workflows, human feedback, and scalable platforms for data curation, model tuning, and evaluation, delivering accurate, culturally aligned experiences across languages and regions.

Train With Region-Native Data Distributions

Ensure your models learn from data that reflects how users actually speak, write, and behave in each market. Training on native, in-region datasets improves accuracy, reduces bias, and prevents performance drops when models are deployed globally.

Train With Region-Native Data Distributions

Ensure your models learn from data that reflects how users actually speak, write, and behave in each market. Training on native, in-region datasets improves accuracy, reduces bias, and prevents performance drops when models are deployed globally.

Train With Region-Native Data Distributions

Ensure your models learn from data that reflects how users actually speak, write, and behave in each market. Training on native, in-region datasets improves accuracy, reduces bias, and prevents performance drops when models are deployed globally.

Reduce Semantic & Behavioral Drift

Align model outputs to local language patterns, cultural norms, and user expectations so responses remain consistent and trustworthy across regions. This minimizes misinterpretation, hallucinations, and brand risk.

Reduce Semantic & Behavioral Drift

Align model outputs to local language patterns, cultural norms, and user expectations so responses remain consistent and trustworthy across regions. This minimizes misinterpretation, hallucinations, and brand risk.

Reduce Semantic & Behavioral Drift

Align model outputs to local language patterns, cultural norms, and user expectations so responses remain consistent and trustworthy across regions. This minimizes misinterpretation, hallucinations, and brand risk.

Enforce Regional Compliance Constraints

Meet data privacy, sovereignty, and regulatory requirements by embedding region-specific controls into your training and evaluation workflows, so you can deploy confidently in regulated markets.

Enforce Regional Compliance Constraints

Meet data privacy, sovereignty, and regulatory requirements by embedding region-specific controls into your training and evaluation workflows, so you can deploy confidently in regulated markets.

Enforce Regional Compliance Constraints

Meet data privacy, sovereignty, and regulatory requirements by embedding region-specific controls into your training and evaluation workflows, so you can deploy confidently in regulated markets.

Validate Performance In-Language

Test models using native speakers and domain experts to identify quality gaps, bias, and edge cases before users experience them. This improves reliability and reduces costly post-launch fixes.

Validate Performance In-Language

Test models using native speakers and domain experts to identify quality gaps, bias, and edge cases before users experience them. This improves reliability and reduces costly post-launch fixes.

Validate Performance In-Language

Test models using native speakers and domain experts to identify quality gaps, bias, and edge cases before users experience them. This improves reliability and reduces costly post-launch fixes.

Increase Coverage of Regional Edge Cases

Expand training datasets to include dialects, slang, code-switching, and region-specific scenarios that generic datasets miss; making your models more robust in real-world environments.

Increase Coverage of Regional Edge Cases

Expand training datasets to include dialects, slang, code-switching, and region-specific scenarios that generic datasets miss; making your models more robust in real-world environments.

Increase Coverage of Regional Edge Cases

Expand training datasets to include dialects, slang, code-switching, and region-specific scenarios that generic datasets miss; making your models more robust in real-world environments.

Close the Localization Feedback Loop

Continuously collect regional user feedback and performance data to retrain and fine-tune models over time, so global performance improves with every market rollout.

Close the Localization Feedback Loop

Continuously collect regional user feedback and performance data to retrain and fine-tune models over time, so global performance improves with every market rollout.

Close the Localization Feedback Loop

Continuously collect regional user feedback and performance data to retrain and fine-tune models over time, so global performance improves with every market rollout.

Product Features

Product Features

Product Features

Language Is Infrastructure

Language Is Infrastructure

Global is the Baseline

Global is the Baseline

  • Rapid Global Workforce Scaling for AI Programs

    Quickly onboard, train, and certify thousands of multilingual, domain-specific resources across regions; enabling large-scale AI initiatives to launch and ramp without delays.

    Big data connection technology concept
    Big data connection technology concept
  • Rapid Global Workforce Scaling for AI Programs

    Quickly onboard, train, and certify thousands of multilingual, domain-specific resources across regions; enabling large-scale AI initiatives to launch and ramp without delays.

    Big data connection technology concept
  • abstract cubes colorful
    abstract cubes colorful

    High-Quality Multilingual Data at Scale

    Centific provides deep AI consulting expertise to design, execute and automate robust annotation frameworks, quality rubrics, and evaluation standards; delivering high-volume, high-accuracy multilingual data for LLMs and real-world AI applications.

  • abstract cubes colorful

    High-Quality Multilingual Data at Scale

    Centific provides deep AI consulting expertise to design, execute and automate robust annotation frameworks, quality rubrics, and evaluation standards; delivering high-volume, high-accuracy multilingual data for LLMs and real-world AI applications.

  • Model Enablement for Real-World Applications

    Support LLM and SLM development with supervised fine-tuning, RLHF, prompt authoring, and multi-turn conversation design; driving production-ready AI experiences for customers.

    abstract data scale network
    abstract data scale network
  • Model Enablement for Real-World Applications

    Support LLM and SLM development with supervised fine-tuning, RLHF, prompt authoring, and multi-turn conversation design; driving production-ready AI experiences for customers.

    abstract data scale network

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