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SPRINGBOARD® in Copenhagen: No DevOps. No Terraform. AI deploys secure cloud infrastructure from any codebase in 20 minutes — €100K ARR, raising pre-seed

  • 19 May 2026
  • 14:00 - 17:00
  • Erhvervshus Hovedstaden, kl 14:00 til 17:00 pa Fruebjergvej 3, 2100 København
  • 22

Registration

  • Tilmeldingsfrist: 12. maj 2026.
  • Tilmeldingsfrist: 12. maj 2026.
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Introduction to SPRINGBOARD®

An AI cloud OS that reads any codebase and autonomously deploys production-ready infrastructure in under 20 minutes — no YAML, no Terraform, no DevOps. What Cursor did for coding, this startup does for deployment. Cuts infrastructure costs down. Enterprise-grade security built in. Targets 25M+ developers globally. Traction: 23K CLI downloads, €100K ARR committed, raising pre-seed.


Areas for sparring

For this SPRINGBOARD®, panelists with competencies/experience within these themes, are needed for sparring:

                      1. Developer GTM: Growing, Converting & Retaining Users

                        ● What is the fastest, most capital-efficient path from 23K CLI downloads to 10K active monthly users — and which specific acquisition channels have actually worked for comparable developer infrastructure tools at this stage?

                        ● Developer tools typically see a brutal free-to-paid conversion cliff. What is the right "activation moment" that triggers willingness to pay — and how should the startup design its product funnel around that moment?

                        ● The startup currently has both individual developers and enterprise buyers showing interest. Should these two motions be run by the same team and product, or separated from the start? What breaks first if they're combined too early?

                        ● How should pricing be structured to avoid cannibalizing the self-serve community while still landing serious enterprise contracts? Is usage-based, seat-based, or infrastructure-spend-percentage the right model for this category?

                        ● What are the two or three PMF signals that would give the team genuine confidence they've found repeatable product-market fit — not just excitement, but evidence of a pull motion?

                      2. Pre-Seed Fundraising: Finding a Lead & Closing the Round

                        ● The team has built technology that can successfully deploy on two clouds while multiple clouds are ready to expand, but it requires more capital and resources. Shall the team raise a small round to keep building and validate the market, or shall they raise a larger round to bring much higher speed of execution and market penetration?

                        ● The startup has multiple investors expressing interest but no lead willing to set terms. What are the specific signals that indicate a genuine lead versus polite interest — and what actions typically move a soft-commit investor to a lead position?

                        ● In 2026, what does the milestone ladder look like for pre-seed deep-tech SaaS to attract European institutional investors — and at what point does the story become fundable for a lead rather than a follow?

                        ● The positioning sits across three hot categories: AI, developer tools, and cloud infrastructure. Each attracts a different investor archetype with different thesis fit. Which frame most reliably unlocks a lead investor in Europe right now, and which funds should be prioritised? Who are these funds and where to find them?

                      3. Competitive Defensibility: Surviving Hyperscalers & Beating Better-Funded Rivals

                        ● AWS App Runner, Azure Container Apps, and Google Cloud Run are all pushing upmarket and adding automation. Porter.run, Qovery, and Northflank are better-capitalised and already selling to the same buyers. What is a genuinely defensible moat for this startup — is it the Glass-Box transparency, the BYOC architecture, the EU data sovereignty positioning, the AI codebase understanding, or something else?

                        ● Hyperscalers can copy features but typically cannot replicate the trust of a vendor-neutral, multi-cloud control plane. How should the startup position itself against cloud lock-in as a core value proposition — and with which buyer segments does that message land hardest? How to validate it quickly?

                        ● The "AI-generated code" deployment bottleneck is a structural market driver. The startup has a first mover advantage and AI native technology stack, how does it establish and protect its position in the market?

                        ● Competitors like Northflank and Qovery have raised significant capital. But the startup comes up as a new disrupter to the market. What are the two or three moves the startup should make in the next 12 months to occupy a market position that is genuinely painful for them to attack?


                              Industry: Medtech

                              Development stage: Proof of Concept

                              Company's CVR region: Capitol

                              Competencies in the panel:

                              • Business Development
                              • Financing, Funding & Raising Capital
                              • Sales



                              Note: This SPRINGBOARD® will be held in English.

                                The Idea — What Makes It Unique

                                Engineers waste 30–40% of their time on infrastructure, not shipping products. This startup built an agentic system that reads a codebase's architecture, understands its patterns, and autonomously generates production-grade cloud infrastructure and handles day 2 and day 3 operations after software goes live. Unlike black-box PaaS platforms, every decision is transparent, auditable, and reversible — a 'Glass-Box' control plane built on deterministic logic, not probabilistic AI guesswork.

                                The analogy that resonates with every developer: 'What Cursor did for writing code, this does for deploying it.'


                                Product / Service — The Problem Solved

                                The cloud deployment gap is a $200B+ problem. Today's options leaning towards a binary choice:

                                ● Black-box PaaS (Vercel, Heroku, Railway) — fast but limited, no enterprise security, vendor lock-in.

                                ● DIY cloud-native (Terraform + Kubernetes) — powerful but requires an entire DevOps team and months of setup.

                                The startup occupies the 'Missing Middle': BYOC (Bring Your Own Cloud), enterprise-grade security baked in, multi-cloud and EU data-sovereign by design. GitHub repo to live production in under 20 minutes.


                                Business Model

                                ● Subscription SaaS — tiered by team size and deployment frequency (target blended gross margin: 70%+).

                                ● Cloud commission — a margin on cloud spens routed through the platform, creating compounding revenue as customers scale.

                                The model mirrors successful developer-infrastructure companies (HashiCorp, Datadog): land with simplicity, expand with depth.


                                Customers & Traction

                                ● €100K ARR committed from anchor enterprise customer (leading engineering consultancy).

                                ● 23,000+ CLI downloads — nominated for Danish tech innovation award.

                                ● 200+ platform signups, 7 signed Letters of Intent, 50+ hot leads.

                                ● 10+ cloud vendor partnerships: AWS, Azure, Google Cloud, Cloudflare, EU-sovereign providers.


                                Market

                                25M+ developers globally. AI coding tools (GitHub Copilot, Cursor, Claude code) are accelerating code generation at an exponential rate — creating a structural deployment bottleneck that grows larger every month. The DevOps automation market is projected to exceed $20B by 2028. EU sovereignty regulation (GDPR, NIS2, DORA) creates a structural compliance advantage for the Glass-Box approach — particularly in regulated sectors (finance, health, government) that are actively adopting cloud but cannot tolerate opacity.


                                Competitors

                                Railway, Render etc. offers fast start to start path, but scaling cost is rather high and user do not own their cloud infra. DIY internal platforms and tooling such asPulumi, Terraform (HashiCorp/IBM), Serverless Framework— all require significant investment and technology knowhow to build and maintain. In a similar category, Northflank, porter.run and Qovery are either cost ineffective or still require much more expertise to operate. No competitor combines AI-native codebase understanding with BYOC architecture, a knowledgegraph, AI-SRE, and Day 1-2-3 lifecycle management from a single control plane.


                                Management & Team

                                ● Technical co-founder: PhD in Statistical Signal Processing & Machine Learning (Aalborg University). 10+ years leading AI transformations at Danish enterprise leaders. Previously scaled a consumer tech platform to 20M users as Chief Data Scientist/VP. Harvard Business School online programme.

                                ● Co-founder 2: Leads product and engineering architecture. Deep expertise in cloud-native systems and AI infrastructure.


                                Finance / Fundraising

                                ● Pre-seed round in progress. Backed by Innovation Denmark.

                                ● Target use of funds: Engineering & product (50%) · UK/EU go-to-market (35%) · Compliance & cloud partnerships (15%).

                                ● Seeking advisors and co-investors with SaaS GTM, developer-tool growth, or EU enterprise expansion expertise.


                                Status — How Far Along

                                Live product in the market with paying customers. First enterprise contract secured. Platform scaling from a strong organic developer base. The startup is at the critical inflection from 'early traction' to 'repeatable GTM motion' and is seeking the expertise of this panel to pressure-test and accelerate that transition.

                                  CONNECT Denmark — Bryghuspladsen 8, 3. sal, 1473 København K — Telefon: +45 27 28 17 86 — E-mail: connect@connectdenmark.com — Sociale platforme:  
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