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.

Supervised Fine Tuning

Supervised Fine Tuning

Supervised Fine Tuning

From general intelligence

From general intelligence

From general intelligence

to domain mastery

to domain mastery

to domain mastery

SFT is where models learn how to behave in the real world. Our data creation pipelines emphasize expertise, consistency, and coverage, so models learn the right patterns, not noise.

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

Design principles for high-quality SFT data

Design principles for high-quality SFT data

Supervised fine-tuning directly determines how a model behaves in production; how it reasons, structures outputs, and responds under real usage. Decisions made at this stage influence reliability, domain accuracy, and the cost of downstream correction, making data design and control a critical consideration for teams deploying or adapting models.

Expert-Led Data Creation

We work with domain experts, not generic annotators, to produce instruction and response data that reflects real-world expectations.

Expert-Led Data Creation

We work with domain experts, not generic annotators, to produce instruction and response data that reflects real-world expectations.

Expert-Led Data Creation

We work with domain experts, not generic annotators, to produce instruction and response data that reflects real-world expectations.

Instructional Precision

Our datasets are designed to teach models how to respond, reason, and structure outputs, not just what to say.

Instructional Precision

Our datasets are designed to teach models how to respond, reason, and structure outputs, not just what to say.

Instructional Precision

Our datasets are designed to teach models how to respond, reason, and structure outputs, not just what to say.

Multi-Modal Coverage

We support text, code, vision, audio, and mixed-modal SFT for modern foundation and enterprise models.

Multi-Modal Coverage

We support text, code, vision, audio, and mixed-modal SFT for modern foundation and enterprise models.

Multi-Modal Coverage

We support text, code, vision, audio, and mixed-modal SFT for modern foundation and enterprise models.

Quality-Controlled at Scale

Multi-layer QA ensures consistency, correctness, and alignment across large datasets.

Quality-Controlled at Scale

Multi-layer QA ensures consistency, correctness, and alignment across large datasets.

Quality-Controlled at Scale

Multi-layer QA ensures consistency, correctness, and alignment across large datasets.

Bias and Coverage Management

We actively monitor data distributions to prevent blind spots and reinforce balanced learning.

Bias and Coverage Management

We actively monitor data distributions to prevent blind spots and reinforce balanced learning.

Bias and Coverage Management

We actively monitor data distributions to prevent blind spots and reinforce balanced learning.

Deployment-Ready Outputs

Datasets are delivered in formats optimized for training pipelines and iteration speed.

Deployment-Ready Outputs

Datasets are delivered in formats optimized for training pipelines and iteration speed.

Deployment-Ready Outputs

Datasets are delivered in formats optimized for training pipelines and iteration speed.

In practice

In practice

In practice

Domain-adapted fine-tuning at scale

Domain-adapted fine-tuning at scale

Accuracy, nuance, continuous improvement

Accuracy, nuance, continuous improvement

  • Domain-Tuned Instructions

    We design prompts and gold responses that mirror real user tasks, from clinical summaries to enterprise workflows, driving practical performance gains.

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    abstract big data
  • Domain-Tuned Instructions

    We design prompts and gold responses that mirror real user tasks, from clinical summaries to enterprise workflows, driving practical performance gains.

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    aabstract connection technology concept

    Expert Judgment, Not Shortcuts

    Our annotators are trained specialists who understand nuance, context, and failure modes; critical for high-stakes domains.

  • aabstract connection technology concept

    Expert Judgment, Not Shortcuts

    Our annotators are trained specialists who understand nuance, context, and failure modes; critical for high-stakes domains.

  • Built for Iteration

    SFT is iterative. We help teams refine datasets based on evaluation results, model behavior, and evolving objectives.

    Machine Learning Concepts
    Machine Learning Concepts
  • Built for Iteration

    SFT is iterative. We help teams refine datasets based on evaluation results, model behavior, and evolving objectives.

    Machine Learning Concepts

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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.

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