We extract latent platforms from corporate balance sheets and structure them as standalone ventures — built on three decades of operator experience and AI-era execution economics. The operating system is called MonCellOS: a biological metaphor for what we do. Not consulting. Co-founders with equity.
The world's largest companies sit on trillions in trapped venture assets. Software. Data. Internal systems. Decision engines. Repeatable workflows built over decades.
Most never become companies. They remain buried inside delivery organisations — classified as cost centres, reported as IT overhead, invisible on any cap table.
Not because the value isn't there. Because no structured process exists inside the parent to extract it. That is the work we do.
We are not the first to attempt this. We are among the few combining 25+ years of corporate venturing from the inside with AI-era execution economics.
MonCellOS is the operating system we use for Platform Extraction. The name is a biological metaphor: every cell already contains the logic of its own survival — DNA, membrane, metabolism, the capacity to divide. The work is to give it the conditions to thrive outside its host. Five sequenced layers do that. Specialist partners are brought in case-by-case, selected for each venture's specific needs.
AI does not change whether platform extraction is the right model. It changes whether the economics work at mid-market scale — which they did not, until now.
The marginal cost of productising a corporate platform has dropped materially. Platform extraction at billion-dollar scale was always viable. AI makes it viable at the Nordic mid-market scale where most latent platforms actually sit.
Large enterprises are auditing every internal system for AI potential. This creates an unusual window to identify latent platforms — and structure them before the parent decides to rebuild internally with AI instead.
The riskiest phase of venture creation — finding a first paying customer — is already answered. The parent becomes anchor on market-rate terms. AI tooling accelerates everything that comes next.
In 1992 Fredrik co-created PostNet — one of Sweden's earliest digital network projects — at Posten. In 1999, he helped build parts of the Swedish IP network at Telia and was one of three co-founders of Telia Business Innovation, Telia's corporate venturing unit.
The first act of Telia Business Innovation was to identify Telia's internal internet access platform as a latent venture. They extracted it as Service Factory AB, with Telia HomeRun (a leading WISP at the time) as anchor customer. Profitable in year one. 1.5 million users on the platform by 2001. BrainHeart Capital invested.
Twenty more corporate investments followed — including the 150M SEK exit with Altitun. That track record, now formalised as MonCellOS and sharpened by AI-era execution economics, is what Diggy Ventures applies today.
The platform: Telia's internal internet access and billing system — classified as IT cost centre.
The extraction: Service Factory AB, incorporated 1 Dec 1999. Employee-majority ownership. Orbyte Wireless System as the product.
The anchor customer: Telia HomeRun — a leading WISP at the time — signed from day one.
The outcome: Profitable in year one. 1.5M users. BrainHeart Capital (Europe's largest wireless-focused VC fund at the time, ~2.15B SEK / ~$200M USD) invested in June 2001.
We are operators first. We do not declare what comes next — we earn it. The trajectory is sequenced, with each phase contingent on the previous one delivering.
If you have built proprietary software, data infrastructure, or workflows that power internal delivery — there may be a standalone venture inside. We find it, structure it, and launch it. You keep the majority. You get the first customer.
We de-risk each phase that traditional venture creation leaves to chance. You enter post-validation, with an anchor customer signed and AI-driven go-to-market already in motion.
We earn equity only when we launch. No launches, no equity.
Platform discovery and diagnostic. We map your internal systems, apply the kill-gate, and deliver a verdict with full reasoning. Most do not advance.
Legal structure, IP assignment, cap table, anchor-customer agreement, operating stack activation. Carve-out ready to launch.
Active operations through to product-market fit. Diggy Ventures takes minority ownership and operates as founding partner — not advisor. Cash flow plus compounding upside.
Every phase is run with one intent: to create a fundable, launchable venture. Assessment and structuring fees cover operations during the cycle. Equity in launched ventures drives the long-term return engine. We are operators with skin in the game.
The detailed argument for why Platform Extraction is the right model for Nordic mid-market companies in the AI era.
Whether you are a corporate with internal systems that could be worth more as a standalone venture, a PE investor looking for pre-validated deal flow, or a builder who wants to join the stack — the conversation starts here.
The world's largest companies sit on trillions in trapped venture assets. Most will never become companies. Not because the value isn't there — because no system exists to extract it.
Software. Data. Internal systems. Decision engines. Repeatable workflows built over decades of operational investment.
Most never become companies. They remain buried inside delivery organisations — classified as cost centres, reported as IT overhead, invisible on any cap table.
That value dies inside the parent. Not because it has to. Because no system exists to extract it.
Most are invisible. Not because they do not exist. Because no one in the organisation has the incentive, the framework, or the pattern recognition to name them as something more.
Turning latent corporate assets into venture-backed businesses is not a new idea. It is what corporate venturing has tried to do for decades — slowly, manually, with high failure rates and no repeatable process.
What is new is the execution economics. AI compresses what used to take eighteen months and twenty engineers into something a small team can deliver in months. That changes what is viable, at what scale.
Historically this was bespoke. Too slow. Too manual. Too dependent on rare pattern recognition that lived in one person's head.
AI changes that. Not incrementally — fundamentally.
The window is open now. It will not stay open indefinitely.
A disciplined, partner-supported process that takes a corporate-internal platform from discovery to product-market fit through five sequenced capability layers. Each layer with a kill-gate. Most candidates do not pass — that rigour is the point.
One extracted platform can create multiple venture outcomes. One corporate can contain many platforms. This can behave like portfolio creation — but at the scale of every large enterprise on earth.
In 1999, as one of three co-founders of Telia Business Innovation, we identified Telia's internal internet access platform as a latent venture. We extracted it as Service Factory AB — with Telia HomeRun (a leading WISP at the time) as anchor customer. Profitable in year one. 1.5 million users on the platform by 2001. BrainHeart Capital invested.
Twenty more corporate investments followed — including the 150M SEK exit with Altitun. Three technology waves of operator experience: PostNet at Posten (1992), Telia and Service Factory (1999), and now AI (2020s). MonCellOS is that experience, formalised and made repeatable by AI-era execution economics.
The pattern is real. The operator experience is current. AI is what makes it viable at mid-market scale.
We are not the first to attempt platform extraction. We are among the few combining 25+ years of corporate venturing experience with AI-era execution economics — at a scale (Nordic mid-market) and a price point (operator-led, not consulting-priced) that did not work before. That is the edge. It will compound with every deal we do, and it cannot be bought.
We are building MonCellOS — the operating system for Platform Extraction. Built on three paradigm shifts of operator experience. Made viable by AI-era execution economics. Aligned through equity, not fees.
This is the system Service Factory needed in 1999 — and that AI now makes possible for the Nordic mid-market.
whether you are a corporate sitting on something you cannot name, an investor looking for pre-validated deal flow, or a builder who wants to be part of this — the conversation starts with one message.
The operating system for Platform Extraction — turning latent platforms inside corporate balance sheets into standalone ventures. An old discipline made newly viable by AI-era execution economics.
Built on three paradigm shifts of operator experience. Aligned through equity, not fees. The Nordic mid-market is where the economics now work.
Large companies sit on massive hidden venture assets — software, data, internal systems, decision engines, repeatable workflows.
Most never become independent companies. They remain trapped inside delivery organisations — classified as cost centres, invisible on any cap table.
The value dies inside the parent. Not because it has to. Because no structured process exists to extract it at mid-market scale.
The operating system for turning latent corporate platforms into standalone ventures. The name is a biological metaphor: every cell already contains the logic of its own survival — DNA, membrane, metabolism, the capacity to divide. Our work is to give it the conditions to thrive outside its host.
Platform Extraction is not a new discipline. It is what corporate venturing has tried to do for decades — slowly, manually, with rare pattern recognition and high failure rates.
AI changes the execution economics fundamentally — not incrementally.
Every large company has latent venture assets — but our focus is the Nordic mid-market (200–2,000 employees) where decades of proprietary operational software has accumulated and where commercial alternatives have not caught up.
This is where Service Factory came from in 1999. This is where the next wave will come from too.
One extracted platform can create multiple venture outcomes. One enterprise can contain many platforms.
Even at disciplined boutique scale, a small portfolio of well-extracted ventures has asymmetric upside.
PostNet at Posten (1992). Telia and Service Factory (1999). Now AI (2020s). Pattern recognition built over thirty years of operating inside technology transitions, not observing them.
As one of three co-founders of Telia Business Innovation, identified Telia's internal internet access platform. Extracted as Service Factory AB. Telia HomeRun (a leading WISP at the time) as anchor customer. Profitable in year one. 1.5 million users. BrainHeart Capital (~2.15B SEK / ~$200M USD fund) invested in June 2001.
Our edge is not category creation — it is the combination of three paradigm shifts of operator experience, a 300-founder network, and AI-era execution economics. Each can be replicated in theory. Combined, they take years to assemble.
Three paradigm shifts. One operator. AI-era timing.
We are not the first to attempt platform extraction. We are among the few combining 25+ years of corporate venturing from the inside with AI-era execution economics — at a scale (Nordic mid-market) and a price point (operator-led, not consulting-priced) that did not work before.
That combination cannot be hired quickly. It compounds with every deal — operator pattern recognition, network depth, methodology refinement, track record.
The edge is the operator inside the system, not the system itself.
We are operators first. We do not declare what comes next — we earn it.
A small portfolio of well-extracted ventures over 8 years. Methodology documented and taught. Larger structures only if the first deals deliver.
How Nordic mid-market enterprises can unlock venture-scale value from the technology assets hidden inside their balance sheets — and why the window to act is open right now.
The world's largest corporations are sitting on trillions in trapped venture assets. Software built over decades of operational investment. Data architectures that power internal decision-making. Workflows so embedded they are invisible to management — classified as IT overhead, invisible on any cap table. The value exists. The structure to extract it does not.
Platform Extraction is the discipline of identifying these latent assets, separating them from the delivery model that obscures their value, and structuring them as independent ventures with real customers, real IP, and a credible path to market. AI-era execution economics have made it viable at a scale and price point that was impossible before 2024.
Diggy Ventures, operating through Dealflower AB, brings 25+ years of corporate venturing experience to this discipline. MonCellOS — our proprietary five-layer operating system — provides the repeatable methodology. This whitepaper sets out the argument, the evidence, and the commercial framework.
Every large enterprise has built infrastructure that is genuinely valuable — not as a cost centre, but as a standalone commercial product. The software that routes logistics, prices insurance, manages supplier relationships, or segments customers has often taken a decade to build and is irreplaceable. Yet it sits classified as IT expenditure, with no P&L, no owner, and no roadmap to market.
The structural problem is not awareness. Most executives, when prompted, can name systems inside their organisation that they suspect are worth more than the accounting suggests. The problem is the absence of a repeatable process to surface, validate, and extract that value — one that works within the risk appetite of a listed company or family-owned mid-market firm.
Platform Extraction is the act of identifying a latent platform inside a corporate and separating it from the delivery model that obscures its value. The result is an independent venture with its own cap table, IP assignment, anchor customer, and operating stack.
This is distinct from traditional corporate venturing in three important ways. First, it requires no product invention — the platform already exists and is in use. Second, it includes the first customer from day one: the parent becomes the anchor on market-rate terms. Third, it is designed to be repeatable, with kill-gates that filter out poor candidates before capital is committed.
Force one: AI compresses build timelines. What used to require eighteen months and twenty engineers now takes months and a small team. AI-assisted development has materially reduced the marginal cost of productising a corporate platform. The economics impossible at mid-market scale before 2024 are now viable.
Force two: Corporate AI audits surface latent assets. Large enterprises are conducting comprehensive audits of internal technology stacks for AI potential. This creates an unusual window for latent platform discovery — and it will not last indefinitely.
Force three: The anchor customer model is structurally de-risked. The hardest moment in any venture creation is the first paying customer. Platform Extraction answers this from day one: the parent becomes the anchor on market-rate terms, creating immediate revenue and a credible reference.
MonCellOS is the proprietary five-layer operating system we use for every engagement. The name is a biological metaphor: every cell already contains the logic of its own survival — DNA, membrane, metabolism, the capacity to divide. Our work is to give it the conditions to thrive outside its host. Each layer has a kill-gate. Most candidates do not advance past the first two.
In 1999, Fredrik Billing was one of three co-founders of Telia Business Innovation — Telia's corporate venturing unit. The first act of that unit was to identify Telia's internal internet access and billing platform as a latent venture. It was classified as IT cost centre. No P&L. No owner. No roadmap.
The platform: Telia's internal internet access and billing system. Built over years of operational investment. Domain-specific, battle-tested, irreplaceable — classified as IT cost centre.
The extraction: Service Factory AB, incorporated 1 December 1999. Employee-majority ownership. Orbyte Wireless System as the commercial product. Telia HomeRun — a leading WISP at the time — as anchor customer from day one.
The outcome: Profitable in year one. 1.5 million users by 2001. BrainHeart Capital — Europe's largest wireless-focused VC fund at the time, ~2.15 billion SEK — invested in June 2001.
The implication: This was executed manually, without AI tooling. MonCellOS is what Service Factory needed — formalised, repeatable, and dramatically cheaper to execute today.
The Service Factory extraction was followed by twenty more corporate investments, including a 150M SEK exit with Altitun. The pattern recognition built across three technology paradigm shifts — PostNet at Posten (1992), Telia (1999), and the AI era — is what MonCellOS codifies.
The commercial model aligns incentives at every stage. Assessment and structuring phases are fee-based, covering operational costs during the cycle. The equity phase activates only when a venture is launched — we earn equity only when we launch, which is the structural difference from every advisory model in this space.
Workshop entry from 25k SEK. Full assessment 300–500k SEK. We map your systems, apply the kill-gate, and deliver a verdict with full reasoning. A rigorous "no" prevents misdirected capital.
Legal entity, IP assignment, cap table, anchor-customer agreement, operating stack activation. The parent retains 70–80%. Carve-out ready to launch at the end of this phase.
Active operators to product-market fit. We take minority equity — not an advisor role. On the cap table with skin in the game. We earn equity only when we launch.
The Nordic mid-market — companies with 200–2,000 employees in logistics, manufacturing, financial services, and utilities — is where proprietary operational software accumulation is richest. Highly digitalised industries operating in a high-trust regulatory environment with sophisticated enterprise buyers.
Before 2024, the build economics made extraction unviable at this scale: the cost of productising exceeded early-year addressable revenue. AI-era execution economics change this calculation entirely. The economics that required a twenty-person team now require a small team and months.
Platform Extraction requires pattern recognition built over decades of operating inside technology transitions, not over weeks of due diligence. Fredrik Billing has navigated three paradigm shifts from the inside: PostNet at Posten (1992), the internet era at Telia (1999) as co-founder of Service Factory AB, and now the AI era through Diggy Ventures. Twenty-two years of corporate venturing. 20+ investments. A 300-founder network across eight countries.
Whether you are a corporate sitting on proprietary software that is worth more than the accounting suggests, a PE investor seeking pre-validated deal flow, or a builder who wants to be part of this — the conversation starts with one message.