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AI systems for the work your company runs on

We train your teams, audit where AI pays back, and build production systems inside the tools you already use, with senior AI engineers embedded alongside the people doing the work.

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Trusted by public and private organizations

We work with private equity and venture funds, finance teams, go-to-market engineering teams, and organizations running large-scale data systems.

  • Wirtschaftskammer Österreich, Partner
  • Speedinvest, Case study
  • Maguar Capital, Client
  • Nyra Health, Case study
  • YPO, Case study
  • Talentir, Case study
  • TimeTac, Case study
  • Score a Score, Case study
  • GasLab, Case study

Three ways in. One standard

Most teams do not have this talent in-house, and getting up to speed means pulling focus off the roadmap they are already committed to. That is where we come in.

  • Corporate AI trainingA focused sprint with your leadership or your teams: executive strategy, a hands-on deep dive on your real work, and a pattern playbook you keep.Your teams keep shipping after we leave

    For everyday work

    Work with AI coworkers on your documents, spreadsheets and daily workflows.

    • Microsoft 365 Copilot
    • Claude Cowork
    • ChatGPT
    • Google Gemini

    For technical teams

    Build, test and review real code in the repositories your engineers already use.

    • Claude Code
    • OpenAI Codex
    • GitHub Copilot
    • Cursor

    Already have your own AI setup? We train inside it. Your approved tools, your company accounts and your data policies shape the workshop.

  • AI Champions ProgramWe train a small group of your people to lead AI inside the company: they learn to spot the work worth automating, build it, and bring their teams along.Internal AI leads who run it without usExplore the AI Champions Program
  • Custom AI projectsCustom AI systems built into your stack alongside your team: agents, automations, connectors, and the control plane that governs them, from discovery through to production.Production systems live in your stack

Results you can check

Named clients, real systems. Every claim links to the full story.

All case studies

Systems we have shipped

A selection from recent engagements, described by what each system does and what changed. The case studies above cover named clients in full.

  • Operations

    Company-wide agent operations

    Day-to-day operations moved onto agents across the company, each with a named owner and a full audit trail.

  • Banking

    Back-office banking processes

    Core processes run end to end by agents, under human review.

  • Rights and royalties

    Royalty processing

    A processing cycle that took days now completes in minutes, 99% faster than the manual process it replaced.

  • Infrastructure

    Enterprise MCP gateway

    One governed access layer connecting 2,000+ systems to any AI assistant the company approves.

  • Teams

    Personal AI coworkers

    One for each employee, working in Slack and email and completing real tasks end to end.

  • Music

    Generative music with rights attribution

    Built with a DJ ranked in the global top 50, with rights data attached to every output from the first note.

Also in production: CRM updates from a chat message, weekly revenue reporting, project status follow-ups, contract renewal alerts, stalled-deal alerts, threads turned into tickets, catch-up briefings, custom connectors for internal systems.

Not sure where to start? We'll scope it with you

Send the shape of the problem. We'll reply with a concrete next step, not a deck. 30-minute scoping call, straight to the team.

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Know where you stand. Win your market

Tell us about your company and we show you how you compare with companies your size, where the gap is, and what to build first to pull ahead of them.

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