Flagship Service
Custom Model Training & Hardening
Purpose-built AI model fine-tuning for security use cases. From intentionally vulnerable training models to hardened production deployments.
What We Do
Most organizations deploy off-the-shelf LLMs with default configurations and hope for the best. We take the opposite approach: purpose-built model fine-tuning grounded in adversarial security research. We built Basileak — an intentionally vulnerable LLM designed to teach teams what failure looks like — and Shogun, its hardened counterpart built for production security operations. This dual-model methodology (attack first, then defend) gives us unique insight into what makes AI systems fail and how to make them resilient. Whether you need a red-team training model, a hardened production deployment, domain-specific fine-tuning with safety guardrails, or RLHF alignment for compliance, we deliver models that are built for your threat model, not a generic benchmark.
Key Capabilities
Adversarial Fine-Tuning (Red Team Models)
Security-Hardened Model Deployment
Domain-Specific LLM Fine-Tuning
RLHF Safety & Compliance Alignment
Model Robustness Testing & Evaluation
Training Data Curation & Poisoning Detection
Jailbreak Resistance Tuning
Model Supply Chain Security