Cases

Results we've created together

Real systems, built in real businesses. Client names are kept confidential – but the architecture and the results are real. The figures are based on each client's internal before/after measurements.

An internal AI of your own – built from scratch

For a European scale-up we built an internal AI the team talks to day to day – for research, account prep, outreach and compliance. It lives behind a login, with clear boundaries on what it can read and do, and the team runs it themselves. On the heaviest research work it removed around 95% of the manual time per account. We bring the same architecture to every engagement.

Nordic B2B SaaS company

~85%less research time – and steadier quality on every account

Manual account research was the biggest time sink in the outbound motion, and the standard varied with whoever did it. We built a pipeline that loads an account list, cleans and enriches it, finds the right signals and suggests personal openers – with a verification gate that catches weak or unsupported claims before they reach a rep. Hours per account became minutes, at the same level every time.

Swedish scale-up

Signal → actionfrom market signal to outbound activity – the same day

The team saw buying signals from target accounts but caught them unsystematically, and often too late. We built a pipeline that monitors and researches signals several times a day, classifies them and pings the team internally when something lands – so the right account can be reached while the signal is still fresh.

Nordic scale-up

Rented → owneda tool they paid a licence for, replaced by one they own

The team paid a growing licence cost for a tool where they really only used a handful of features. We rebuilt just those features into a solution of their own, fitted to how they work and with no per-seat fee – on the same architecture as the rest of our systems, so it can grow with them.

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