LatticeFlow AI

LatticeFlow's Athena AI case study reports a 75% reduction in training dataset size without reduced model performance, four-times-faster training and up to 544 hours saved per quarter in data curation and quality assurance for small-vehicle detection.

LatticeFlow AI has production governance and risk-control work with organizations including Unique AI and Axpo, including FINMA-aligned agentic AI assessment in banking.

LatticeFlow AI has production governance and risk-control work with organizations including Unique AI and Axpo, including FINMA-aligned agentic AI assessment in banking.

LatticeFlow AI reports a COMPL-AI evaluation of DeepSeek R1 8B and 14B distilled models, identifying cybersecurity and bias weaknesses alongside toxicity-control strengths relative to base models. This specific executed technical evaluation adds an artifact beyond the generic governance-framework description.

LatticeFlow AI develops continuous technical evaluation and governance, COMPL-AI and AI Atlas mapping regulatory frameworks to automated AI risk controls.

LatticeFlow AI develops continuous technical evaluation and governance, COMPL-AI and AI Atlas mapping regulatory frameworks to automated AI risk controls.

LatticeFlow AI documents its SAP partnership and SAP ecosystem access for technical AI performance and risk assessments, adding a named enterprise distribution relationship beyond its ETH roots, government support and AI Sonar acquisition.

LatticeFlow AI combines ETH Zurich research roots, Swiss government support, enterprise deployments and acquisition of AI Sonar to expand end-to-end AI governance.

LatticeFlow AI combines ETH Zurich research roots, Swiss government support, enterprise deployments and acquisition of AI Sonar to expand end-to-end AI governance.

LatticeFlow AI spans AI discovery, evaluations, adversarial testing, runtime security, governance and continuous monitoring across models, RAG and agents, with CLI, Python SDK and YAML-based technical controls deployable as SaaS or managed on-prem/private cloud, supporting portability across AI evaluation, security, governance and ML engineering.

AI evaluation, governance, security and regulatory-control skills transfer broadly across frontier labs, enterprise AI, banking, infrastructure and public-sector AI.

AI evaluation, governance, security and regulatory-control skills transfer broadly across frontier labs, enterprise AI, banking, infrastructure and public-sector AI.