Production AI for firms that need it to actually work.
We build agentic workflows, MCP integrations, and embedded LLM tooling for finance and research. Senior engineers. Real systems. Shipped to production — not pitched in slides.
AI integration
Embedding Claude and other frontier models into existing workflows: Excel, Office, internal tools, research pipelines. Where your team already works.
Agentic workflows
Designing and deploying autonomous agents with MCP, tool use, and human-in-the-loop oversight. Reliable orchestration over flashy demos.
Custom tooling
Bespoke applications, MCP servers, and internal copilots built on the Claude API. Tailored to your data, your compliance, your operating reality.
Advisory
Helping leadership teams understand what current AI can and can't do — and where investment compounds versus where it evaporates.
Skavlai is built by a team that combines deep technical depth with operational and commercial experience.
Two decades of work in software, embedded systems and applied research — including core contributions to a ground-penetrating radar instrument on NASA's Mars 2020 rover, years as a senior scientist at a national defence research establishment, and current leadership of a 20+ developer team through the transition to AI-driven software development. Hands-on across Python, Go, C#, AWS and the full Claude stack: API, MCP integrations, agentic orchestration and Claude Code.
Twenty-plus years in product leadership, digital transformation and applied AI — including launching one of Norway's first AI-powered business products in 2016, P&L responsibility for a full product portfolio, and a track record of automating complex business processes with measurable double-digit efficiency gains. MSc in Industrial Economics and Technology Management from NTNU's School of Entrepreneurship.
Senior finance leadership from the London hedge fund industry, with deep insight into how investment firms actually operate — research workflows, compliance, reporting, and the systems that hold it all together.
Engineers who understand finance. Operators who understand what production AI actually requires.