We deploy focused AI agents that each do one job well: feeding an on-premise LLM that you own. Stackable with "experts" trained to turn any AI into a specific operational outcome.
Domain and employee tribal knowledge from your workforce is used to train those models how to do your business. This creates a “knowledge wealth transfer” to other companies that will precede a wealth transfer.
Companies with intellectual property, key business processes, and critical infrastructure accumulate risk when shipping that data to a third-party cloud. Further, the models can shift underneath you, creating hallucinations, changing performance, and possibly impacting production in energy, medical, transportation, and even finance. Sovereign AI projects that aim to fix these issues can take years and millions of dollars, and there is not much evidence of success for large companies.
Training an LLM may be beyond your workforce. So we have created a marketplace for stackable expert systems on top of the LLM you own and operate. These aren't just chatbots, but AI systems producing measurable outcomes for your company. AI is supposed to decrease costs and reduce time wasted on science projects, not increase them.
Instead of one giant model trying to do everything, we field a set of small agents that each do a single job exceptionally well. Their findings feed an on-premise LLM: owned by you, running on your hardware, trained on your environment. Our Marketplace allows you to stack our expert systems or others to enhance and focus the LLM to a set of repeatable tasks. Every edge AI resource you add makes the whole system smarter. Distributing the AI across smaller, more resilient models also avoids the expensive power and water a datacenter build demands, and unique AI health systems prevent many of the issues companies hit when they try to bring AI in house. This keeps costs down and accomplishes specific outcomes for your enterprise.
Small, auditable, purpose-built. Each agent is scoped to one task and pushes inference out from the core LLM: raising concurrency, lowering hallucinations, and forming a resilient data mesh.
On-premise, on your hardware, inside your security boundary. No data exfiltration, no cloud dependency, no per-token surprise bills.
Stack a domain-trained expert system onto the LLM you own and it delivers outcomes in a specific field of your business. Add another and the same LLM covers more ground.
Our first production expert. Purpose-built agents watch your OT or IT network, industrial protocols, and asset behavior: feeding your on-premise LLM so a trained cybersecurity specialist can detect, scope, and respond to threats without your data ever leaving the plant.
Industrial transformation delivered more data than any team can read. When something breaks, fault isolation takes days, and production pays for every one of them. Our next expert pairs single-job agents with your on-premise LLM to cut through the noise and isolate faults in hours, not days.
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