ANIFOLD · MAKING AI SAFER AND MORE CAPABLE

Safety UnlocksCapability

We use safety to expand what AI can do—making agents more capable, autonomous, and adaptive, while keeping them reliable and under control.

Data × Platform × Safety → Capability

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Data×Platform×Safety→Capability

  1. 01 · SAFETY ENVIRONMENTS & DATA

    Environments and Data

    Frontier risk tracking, attack knowledge, and large-scale safety data from malicious agent trajectories and harmful conversations to help teams train and evaluate safety capabilities.

    • Environments: Containerized tasks and adversarial scenarios for training and evaluation.
    • Data: Attack knowledge base and large-scale safety data of malicious agent trajectories and harmful content.

    Deliverables: Task Environments · Training Datasets · Customization and Evaluation

  2. 02 · MODELS & TRAINING SERVICES

    Custom Models and Agents

    Custom models and agents for specific tasks and domains, with capability unlocking, CoT distillation, and post-training services to make them safer and more capable.

    • Models and Agents: Custom models and agents for target tasks, and safety-enhanced open-source models.
    • Training Services: Custom post-training, capability evaluation, red teaming, and safety alignment.

    Deliverables: Custom Models · Agent Systems · Evaluation Report

  3. 03 · SRI Platform

    Safe Recursive Intelligence

    An SRI platform connecting environments, rollouts, evaluation, and training to enable AI to become safer as it grows more capable—and more capable as it grows safer.

    • SRI Infra: Ready-to-use Docker environments and rollout harnesses for training and evaluation.
    • RSI Training: End-to-end training to jointly improve safety and capability.

    Deliverables: SRI Infra · RSI Training

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