Cybersecurity
Defensive agents trained inside simulated infrastructure: monitoring, investigation, containment, and long-horizon incident response.
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Post-Training for High-Consequence Domains
LLMix focuses on domains where model behavior can be exercised, scored, and improved against real constraints. Initial engineering blueprints cover cybersecurity, insurance, and legal systems.
Insurance
Claims, underwriting support, and policy reasoning trained from expert decisions, policy rules, and verifiable structured outputs.
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Contract analysis, regulatory review, and citation-grounded legal reasoning trained on expert demonstrations, redlines, and verifiable citations.
Explore legal post-trainingAdditional domains are considered when the task has representative data, expert supervision, executable tools or environments, and a meaningful evaluation boundary.