Generative AI

    Optimize your LLM's Accuracy with RLHF

    Our RLHF solutions are designed to unlock your AI model's full potential. As a specialized service, it improves the delivery or the output accuracy of your AI and machine learning models. We help your AI models to take decisions through integration of human insight and reinforcement learning to ensure it aligns with particular goals, ethical standards, and real-world situations.

    Optimize your LLM's Accuracy with RLHF

    Core Capabilities

    Advanced technology built for enterprise scale.

    Stage 1: Pre-Training Model

    Stage 1: Pre-Training Model

    We help you in fine-tuning your LLM by offering sufficient prompts and responses. This directs the model into producing output which is in line with your goals.

    Stage 2: Supervised Fine-Tuning

    Stage 2: Supervised Fine-Tuning

    We aid you in developing Generative AI applications for LLMs so that they are versatile and adaptive to specific use cases. This involves providing data or examples to the model to learn and adapt, hence we offer prompt engineering solutions for design, testing, deployment, and delivery of prompts.

    Stage 3: Reward Model Training

    Stage 3: Reward Model Training

    We train a reward model in a way that it recognizes desired outputs produced by the model and scores based on relevance and accuracy of the outcome. This enhances the quality and relevance of the output hence generated.

    Proven Applications

    See how industry leaders are leveraging our solutions in production environments.

    Discuss Your Use Case
    Build RLVR at Scale

    Build RLVR at Scale

    Leverage Coral Mountain Data's trained AI workforce to create diverse, high-volume prompt–verifier datasets across finance, medical, geospatial, and STEM domains. We ensure reward feedback that is not only scalable, but also auditable and externally validated, enhancing the safety and reliability of your AI systems.

    Tailored and Compliant Feedback

    Tailored and Compliant Feedback

    Our approach supports customizable logic, including scoring rubrics and rule-based feedback mechanisms, to align with your specific use cases and compliance requirements. This enables high-quality data for complex reasoning, planning, and decision-making—powering next-gen LLMs, AI agents, and robotics.

    Tap Expert Innovation

    Tap Expert Innovation

    Access Coral Mountain Data's global GenAI Innovation Hubs for advanced prompt engineering, verifier logic, and tailored scoring frameworks that meet your unique model goals.

    Reinforcement Learning with Verifiable Rewards (RLVR)

    Coral Mountain Data supports RL pipelines by delivering verifiable, auditable, and domain-specific data to train AI models.