Redefining how organizations work, automate, and scale with AI
Your best people spend hours on work that software should do.
We find that work and build what does it for them.
They get back to the work only people can do.
Redefining how organizations work, automate, and scale with AI.
Trusted by 4,500+ users across Europe
“Solvigo Insights gave us far deeper and far broader material to draw real insight from for our business development. It doesn’t compare to a traditional survey. The crowning touch was getting concrete analysis and suggested improvements out of Solvigo’s tool.”
We rebuild how your company works
We’re an AI consulting and engineering partner. We find where your work slows down and redesign it, with AI part of the work from the first step.
Our engineers work with your team and stay after launch, so the change lasts.
See how we work
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manual hours reclaimed
Our own company runs on Solvigo OS
Everything our company learns ends up in Solvigo OS, next to the work it belongs to. A decision in one meeting reaches the people and agents it affects.
It learns how each of us works, so whoever picks up the next task starts from what we already know.
Explore Solvigo OSAsk once. Understand deeply.
Solvigo Insights is the first product in Solvigo OS. Tell it what you want to understand, and it interviews your customers or employees by voice or text, asking follow-up questions like a good interviewer. We built it to interview teams at scale, using it ourselves.
Frequently asked questions
How does Solvigo OS relate to the work you do for clients?
In client work, our engineers build AI with your team, around your processes and the systems you have. We stay responsible for what we build after launch.
Solvigo OS grew out of a problem we had ourselves. As our own company took on more AI tools, each held part of what we knew, and none knew what the others did. Solvigo OS joins them into one system, so what one part learns is there for the next task. The solutions we build for you can grow together in the same way over time. What we bring from one project to the next is what we learn about building well.
Do we need to replace our existing systems?
Only where that is the best solution. We often build new systems, and just as often build on the tools your team already uses. We start with how the work runs today and where the biggest gains are, then choose the approach that serves it best.
We connect to your systems in the way each one allows. Where needed, the AI can also work in a program through its screens, much as a person would, within the permissions and approvals you set. Before we build, we agree where a person checks the result.
Where does our data live, and who can access it?
We decide that with you before we build anything. Together we agree where your data is stored and processed and who can reach it, including any AI model providers. The answer depends on your requirements and on what we are building.
We also settle how long data is kept and whether a model provider may use it, together with your IT and security team. The build follows what we agree.
What happens when the AI is unsure or gets something wrong?
We decide up front which tasks can run on their own and where a person checks the result. We also decide what happens when information is missing or an answer can’t be trusted, which usually means the case goes to a person. The bigger the consequence of an action, the stricter the approval.
Before launch, we test on real examples with the people who will use the system. After launch, feedback and mistakes go back into the workflow, with a named owner for fixing them.
How does a collaboration start?
With the work itself. We look at how your team works today and where time is lost, then pick one focused place to start. We agree on the scope, the access we need and how we will judge the result.
Our engineers then build with your team and test in real conditions. You see the solution take shape as we go, and we decide together whether to take it further.