Pit

Most enterprise AI lives at the edges of the business, not the core. That's the problem Pit and Nexer Group are partnering up to fix. Nexer brings deep experience in enterprise transformation. Pit brings the platform for AI-native software development. Together, we build AI that runs at the core of operations.

Last week Matthias Hendrichs started at Pit to lead the expansion in Asia-Pacific. Read his words on visiting Stockholm, the differences between Europe and APAC in AI adoption, and why he wanted to join Pit.

The myth that slows every enterprise AI conversation down: "Our processes are too complex to automate." We've heard it from ops leads burned by three previous tools. From CTOs who approved a platform that then sat untouched for two years. When people say "too complex," they usually mean one of two things. 1. The real knowledge lives in the head of the person who's been doing the job for six years. A wiki exists, but the answers to questions like: "Why does this contract behave differently in this region?" "What does the system do when a renewal lands in the freeze window?" "Which of these three apparent rules is the actual rule?" ... have never been written down. 2. The process touches different systems, and nobody owns all of them. Finance owns one. Sales owns another. The middleware is a person with a spreadsheet who reconciles them every Thursday. These aren't signs automation is impossible. They're signs previous tools were built for simpler things and marketed to everyone. The processes that feel too complex to automate are the ones worth automating. They're where the hours are. They're where the risk is. They're where institutional knowledge goes when someone leaves. Pit was built for these. The ones with edge cases nobody put in the requirements doc. The ones where "how does this work?" is a forty-five minute conversation that ends with "and then it depends." That's not a problem with the process. That's a problem with tools that couldn't learn before they built.

Build systems that build systems? 🤯 Fredrik Olovsson on why engineering at Pit doesn't look like engineering used to. If you want to do the type of work you tell other engineers about, find our open positions in the comments.

“You don't need AI for this.” That's what we told a potential customer last week. We then spent 20 minutes showing them how to best solve their problem. We're building Pit as an AI-native company, but we're honest when it's not the right solution. Organisations don't need more tools that throw AI at everything just because it's expected. What they need looks more like an embedded product team. One that understands how their business actually operates, redesigns it for what's now possible, and builds systems that improve how work gets done. Sometimes that means AI handling a specific task inside a process. Sometimes it means a purpose-built interface where AI is only part of how the solution gets built. Sometimes it's both, or something else. Pit is built to give companies a partner focused on designing what actually works best for the organisation, using AI where it makes sense.

Pit is growing very quickly and hiring world class engineers to join as we scale up. Smart people with high agency that just figure things out. Please email me showing exceptional abilities at adam@pit.com I will personally review each one.

We're looking for exceptional people across engineering and operations. Pit builds AI systems that create real value for large companies. That requires serious engineering, deep customer work, and great taste in how systems are built, shipped, governed, and maintained. Know someone who belongs here? Tag them or send them our way.

Who in your company owns the decisions AI makes? Among everything we discussed at our Pit AI Saloon in Stockholm last night, one question kept coming back, how do we organise ownership as we run our business on AI? AI generates output fast. But output isn't the same as outcomes. Without clear ownership, quality and accountability, that output can't be trusted or acted on at scale. Governance isn't just a compliance question anymore. It's where your company's values get written into how AI actually runs and who runs it. Every company has to answer these questions. That's one of many things Pit helps with. The next Saloon is June 16 in Stockholm.

Pit is growing fast and looking for more teammates to join this wonderful team. In a world of AI, bridging the gap between the latest and greatest models and real industrials being able to drive business impact, requires some last-mile integration work. At Pit, we do this with Solutions Engineering on top of our Platform, this role is crucial to our success and drives value to our customers and helps shape our platform. If you think you're a good fit, come talk to us!