Organizations know how to keep the lights on. We help them keep the LLM on.
Mission
Help organizations treat AI as enterprise infrastructure — available, recoverable, governed, and tested, like every other system the business cannot run without.
Vision
When a CIO asks “how do we keep AI running?”, the answer is KeepTheLLMOn — the way Veeam became the answer for backup and CrowdStrike for endpoint security.
Why now
AI crossed the infrastructure threshold — quietly
For decades, 'keeping the lights on' meant servers, networking, storage, identity, and email. Each of those layers earned protection after the business learned — usually painfully — that it couldn't operate without them.
AI crossed that same threshold faster than any layer before it, and it did so without procurement gates, architecture reviews, or business impact analyses. Support teams resolve tickets with AI. Developers ship code with copilots. Analysts, lawyers, and underwriters have rebuilt their daily output around tools that did not exist in your continuity plan three years ago.
The result is a structural gap: the newest mission-critical layer of the enterprise is the only one with no inventory, no recovery objectives, no failover, and no tests. Closing that gap is a discipline — we call it AI Operational Resilience — and building that discipline is the entire reason this company exists.
How we work
Operating principles
Vendor-neutral, always
We don't resell hardware, models, or cloud contracts. Our only product is your resilience, which means our recommendations answer to your recovery objectives — not to a vendor margin.
Continuity discipline, not AI hype
We come from the world of business continuity, disaster recovery, and enterprise architecture. We speak in RTOs, dependencies, and tested runbooks — the language your organization already trusts.
Tested, not theoretical
A failover plan that has never been exercised is a hypothesis. Everything we design is built to be drilled quarterly and reported to your board.
Local AI is a tool, not a religion
Sometimes the right answer is a second cloud provider. Sometimes it's a degraded mode. Sometimes it's GPUs in your data center. Criticality decides — not ideology.
How resilient is your AI?
Get an AI Operational Readiness Score, dependency map, and executive roadmap in 3–6 weeks.