Gavn Software
AI for business-critical systems
Gavn Software is an AI and software engineering consultancy just outside Copenhagen, Denmark. We build AI into systems that people already depend on. We are engineers first. Most AI projects fail on the foundation rather than the model, so AI has to beat a simpler solution before we deploy it. Sometimes it doesn't, and we say so. There are three ways to work with us. A two-week AI Readiness Assessment that examines your systems and workflows and delivers a prioritized, costed plan. Hands-on AI workshops run on your developers' own codebase and backlog, so they leave using the tools on real work. And end-to-end development, from technical specification through to daily operation. We build agents inside production software with tool use, retrieval, guardrails and an evaluation harness. We train custom models for forecasting, document classification and anomaly detection. And we build the infrastructure underneath, in Python, Rust, .NET and Azure. GDPR, EU data residency and AI Act obligations are designed into the architecture from the start rather than bolted on at review time. Recent work: an AI agent inside PDC StaffPlan, grounded in 20,000 pages of documentation. Four months from specification to production, now running across seven products for more than 10,000 users. You talk directly to the engineer designing and building your system. Both founders hold an MSc in Computer Science and Engineering from DTU and guest lecture there. No review yetBe the first to write one
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2 services offered by Gavn Software
Description We are software engineers first. Most AI projects fail on the foundation, not the model, so AI has to beat a simpler solution before we deploy it. Sometimes it doesn't, and we say so. Engagements usually start with a two-week AI Readiness Assessment: we examine your systems and workflows and deliver a prioritized, costed plan. It stands alone, with no obligation to continue with us. From there we build agents inside production software, with tool use, retrieval, guardrails, and an evaluation harness so you can tell when a change made things worse. We also train custom models for forecasting, document and ticket classification, anomaly detection, and queue ranking, chosen to survive production rather than to demo well. Compliance is designed in: EU data residency, GDPR and AI Act obligations mapped onto concrete architecture, and security review covering prompt injection, permissions, and secrets. We built an AI agent into PDC StaffPlan, grounded in 20,000 pages of documentation. Four months from spec to production. It runs across seven products for more than 10,000 users. You talk directly to the engineer designing and building your system. Both founders hold an MSc in Computer Science and Engineering from DTU and guest lecture there. Probably not a fit if you want a proof of concept with no route to production, a chatbot without compliance requirements, or low-code automation.Skills in Artificial Intelligence (6) AI DevelopmentArtificial IntelligenceAI AlgorithmAI ExpertiseGenerative AIAI Agents
Learn more about Artificial IntelligenceDescription We design from the failure cases first: what the system has to survive, not what it does when everything works. That comes from building critical flight-planning infrastructure, security operations tooling, and healthcare systems, where "it worked in testing" is not a standard anyone accepts. We question the baseline requirements and strip away complexity aggressively. Fewer moving parts is not a stylistic preference. It is what lets the next engineer maintain the system. We build custom software and APIs in Python, Rust and .NET, on PostgreSQL and React, with the infrastructure underneath: Azure or on-premise, Terraform, CI/CD, environments, scaling, and logging people actually use. GDPR and EU data residency are mapped onto the architecture from the start, not bolted on at review time. Where AI genuinely beats a simpler approach we build that too. Often it doesn't. Recent work: PDC StaffPlan, four months from specification to production, now running across seven products for more than 10,000 users. A small team taking end-to-end responsibility from technical specification to daily operation. You communicate directly with the engineer doing the work. Both founders hold an MSc in Computer Science and Engineering from DTU and guest lecture there. Probably not a fit if you need a proof of concept with no route to production, low-code automation, or a standard SaaS configuration.Skills in Software Development (3) Software DevelopmentCustom Software DevelopmentEnterprise Software Development
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- HeadquarterUlrikkenborg Alle 23, Lyngby, Denmark