AI Support & Data Services

Laying the foundation for trustworthy AI

Inaccurate and unreliable AI models lead to poor predictions, inconsistent results, biased decisions, and diminished user experience. The root cause? Insufficient or low-quality data, along with inadequate model training and tuning. Don’t let bad data break your AI. Invest in high-quality data services, rigorous testing, tuning and continuous monitoring—because trust in AI starts with getting it right.

Transform data risks into AI-driven opportunities

 Our AI support and data services provide high-quality, accurately labeled training data to improve AI model performance and reliability. By integrating advanced annotation techniques with your AI strategy, we ensure precise, reliable, ethical AI deployment. Our solutions combine cutting-edge technology with human expertise to deliver impactful, innovative results.

Accelerate Development

Streamline data preparation to accelerate AI model training and deployment.

Enhance Model Accuracy

Reduce errors, improve
AI model reliability, and minimize bias for consistent results.

Drive Transparency & Compliance

Ensure transparency
while adhering to
ethical standards and
legal regulations.

Manage All Data Types

Enable versatility for diverse AI use cases and data formats to scale without compromising quality.

Improve User Experience

Deliver relevant, accurate, and intuitive interactions to enhance satisfaction and engagement.

Data services that drive business outcomes

Our expert-powered AI solutions ensure precision, reliability, and innovation for your projects. Let’s transform risks into opportunities.

Focused solutions for data annotation

At Concentrix, we bring a global reach, deep industry knowledge, and tailored solutions to deliver fast and reliable data annotation. Our flexible approach to data services ensures your AI models are trained quickly, accurately, and in line with your business needs, driving growth and value.

Prompt Engineering

We provide meticulously annotated data necessary to train models capable of interpreting and generating highly relevant responses, ensuring your AI solutions are both precise and contextually aware.

Red Teaming

Strengthen your AI security by developing annotated datasets that simulate adversarial scenarios. We enable models to be rigorously tested and fortified against potential vulnerabilities, ensuring they remain resilient in real-world conditions.

Reinforcement Learning from Human Feedback (RLHF)

Improve model performance by using feedback and learning techniques that include detailed human input, helping the model adapt and provide better responses over time.

Supervised Fine-Tuning (SFT)

Optimize learning algorithms using curated datasets to fine-tune models, balance performance, and minimize bias-related risks for more accurate, fair, and reliable AI outcomes.

Large Concept Models (LCM)

Adapt to the ever-evolving data landscape of online platforms by integrating dynamic annotation strategies, ensuring your LCMs stay responsive, accurate, and aligned with emerging trends and user behaviors.