Operational AI for regulated and ambitious organisations.
LLMntal helps enterprises move from AI experimentation to secure, governed and production-ready agentic systems.
LLMntal helps enterprises move from AI experimentation to secure, governed and production-ready agentic systems.
Most organisations are experimenting with AI. Few are operationalising it successfully.
LLMntal bridges the gap between strategy and execution — designing, governing and deploying AI systems that deliver measurable business value.
Three disciplines, one partner. Strategy that survives contact with engineering, engineering that runs in production, and the governance that lets it stay there.
Helping leadership teams identify where AI creates real operational leverage.
Design and deployment of secure, production-grade AI agents and workflows.
The connective tissue that lets AI systems run safely and stay accountable.
Strategy without engineering is theory. Engineering without governance is risk. We combine both.
20+ years across deep-tech startups, Big 4 consulting, global banking and multinationals. We translate cleanly in both directions.
Finance close cycles cut from 25 to 8 days. Up to 75% operational gains across 10+ clients. Privacy-preserving AI deployed across 30+ markets.
Agentic AI, multi-agent pipelines, MCP servers, context and memory management. We build with these tools every day — on our own infrastructure as well as our clients'.
Governance, compliance and responsible AI aren't afterthoughts. They're how we've always worked — banking, finance, privacy-preserving compute, Swiss confidentiality standards.
We typically partner with leadership teams operationalising AI at scale.
Moving beyond chat copilots toward systems that do work end-to-end.
Banking, insurance, healthcare, public sector — where governance and auditability are table stakes.
Mandated to move from proof-of-concept to production, with measurable outcomes attached.
Building the operating model, infrastructure and governance posture for AI at scale.
Gartner forecasts $2.59T in global AI spending for 2026. That number captures hyperscaler capex and visible SaaS — but it misses where the most strategic enterprise investment is going.
The AI space is full of noise. We started llmntal to cut through it — helping companies get AI into production, not just into a slide deck.
The challenge is no longer access to models. It is operationalising AI securely, sustainably and with measurable value. Let's discuss what that looks like for your organisation.
or reach out at hello@llmntal.ai