Implementation
LLM application development, on-premises infrastructure deployment, and system integration. We build API-based solutions, configure local model deployments, and connect LLM capabilities to existing databases and workflows. Work focuses on reliability, maintainability, and long-term operational control.
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Advisory & Education
Consulting for organizations evaluating LLM technology, planning deployments, or developing governance frameworks. We provide technology assessment, architecture review, model evaluation, and technical training. Work includes AI safety and risk assessment informed by direct involvement in AI safety research.
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Our Approach
How we evaluate LLM task reliability and design systems accordingly. We use a three-tier taxonomy that distinguishes highly reliable tasks from those requiring guardrails or extensive validation. This framework informs our architecture decisions and helps organizations understand where automation makes sense and where human oversight is required.