Salmon Solutions exists because too many AI projects fail for engineering reasons, not AI reasons. Companies invest in strategy, buy the tools, hire the data scientists — and nothing ships. The prototype works in a notebook. The production system never materializes.
The problem isn't the model. It's the gap between a working demo and a production system that real users depend on. Bridging that gap requires deep engineering experience — data pipelines, backend architecture, cloud infrastructure, deployment, and monitoring. The AI is the newest layer on top of a foundation that takes years to build.
That's what Salmon Solutions brings: a decade of production engineering applied to AI implementation.
10 years of production engineering spanning data pipelines, backend services, cloud infrastructure, DevOps, and fullstack development. The AI specialization is built on top of — not instead of — deep systems engineering experience.
Not an AI researcher. Salmon Solutions doesn't train foundation models. We make AI systems work in production — which means handling data quality, infrastructure, deployment, monitoring, and all the problems that don't show up in a demo.
If an idea won’t work, we’ll say so before you spend money on it. If there’s a simpler solution, we’ll propose it. The incentive is to solve your problem, not to maximize billable hours.
No months-long planning phases. Working systems built quickly, put in front of real users, and improved based on what actually happens.
Salmon Solutions uses AI extensively in its own operations — not as a gimmick, but as a genuine force multiplier. It’s how one engineer delivers what typically takes a team.
Salmon Solutions operates from Florida — no VC funding, no board of directors, no sales quotas, no junior developers to keep busy. When we recommend a solution, it's because it's the right one. Not because it maximizes revenue. Not because a partner said so.
That independence is the product. Clean advice, focused engineering, aligned incentives.
If your AI initiative is stalled, your data infrastructure isn't ready, or you need senior engineering help to bridge the gap — let's have a straightforward conversation about it.