Embedded delivery
Embedded with your engineers hybrid or remote. Typical duration from roughly three months to two years: shared backlog, agreed milestones, and artefacts in your systems. Formal handover when the assignment ends.
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Boutique AI and software delivery
Small roster. Named owners. Shipped outcomes.
Adamass AB, Malmö, Sweden (est. 2019). Boutique practice: generative AI, machine learning engineering, legacy modernisation, and technical due diligence for investors as well as preparation for founders. Mostly team augmentation with written scope and milestones — engagements have run from a few months to about three years.
Most failures happen at handoff: between strategy and engineering, prototype and production, or documentation and operations. We close that gap with explicit scope, augmentation, written artefacts, and a single accountable lead. We do not introduce process for its own sake.
01
We augment our team into yours — same repos, tools, and ceremonies — not as a separate vendor silo. We aim for a family-style way of working: trust, shared context, and pace, because that delivers better outcomes and everyday efficiency. One named technical lead per engagement.
02
Engagements close with transfer of source, configuration, deployment notes, and operational documentation as agreed in scope.
Context
Clients include AI product companies, teams modernising legacy platforms, and investors requiring technical review of software assets.
3–24months
Typical engagement span
Embedded
Augmented with client engineering teams
100%
Senior delivery
Capability types
Three standard models
Technical due diligence
Structured report for investors, boards and founders: architecture, team, data and model practices, risk register. Typical turnaround one to two months.
Strategic advisory
We advise from experience on direction, trade-offs, and next steps — whether you already have a technical lead or not. Clear options and a credible path forward, not process for its own sake.