SUBGENNasdaq StockholmSoftware - InfrastructureIFRS · SEK

Subgen AI

Subgen AI is a Sweden-listed AI group that develops and applies enterprise artificial intelligence systems through its Serenity platform and related solutions. The company combines software, cloud infrastructure, agent-based tools, and investments in AI-related businesses to support deployment of AI across multiple industries and regions.

Revenue0.1m SEK
+3.3 %y/y

Fiscal year 2025 · change from previous year

Development 2021–2025

-400-300-200-1000100m SEK2021: 13 m SEK20212022: 1.7 m SEK2022: EBIT -365 m SEK20222023: 0.09 m SEK2023: EBIT -56 m SEK20232024: 0.05 m SEK20242025: 0.06 m SEK20250.06
RevenueOperating profit (EBIT)

Business

Share of revenue
Enterprise AI platforms40 %

Software platforms used to manage, govern, and deploy generative AI in enterprise settings.

Cloud and infrastructure20 %

Sovereign and hosted compute infrastructure that supports AI workloads and deployment.

AI services and implementation30 %

Consulting, customization, and deployment work that adapts AI tools to client operations.

Investments and acquisitions10 %

Ownership stakes and operating investments used to expand the AI lifecycle and value creation model.

Customers

Subgen AI sells to enterprises and organizations that need AI systems they can deploy at scale, govern, and adapt to regulated environments. Reported end markets include healthcare, energy, legal, human resources, finance, insurance, agritech, and foodtech, with examples ranging from oil-well monitoring to medical consultation workflows.

Enterprise clients

Buy AI platforms and implementation services to automate workflows and deploy GenAI at scale.

Regulated-industry customers

Healthcare, finance, insurance, and legal clients buy auditable and compliant AI tools.

Channel partners

Partners use Subgen AI solutions to serve their own client bases and extend market reach.

Investee and transformation targets

Businesses in which Subgen AI invests and then applies its technology to improve operations.

Strategy

Subgen AI’s strategy is to combine enterprise AI software, infrastructure, and services with ownership stakes in AI-related businesses. The company emphasizes a dual model: deploy its technology directly for clients while also using investments and partnerships to widen access to the AI lifecycle and expand its market footprint.

Scale the Serenity platformShort term

A common platform improves repeatability, delivery speed, and cross-sell across use cases.

Expand partner-led distributionMedium term

Partners extend market access without relying only on direct sales capacity.

Deepen regulated-industry penetrationMedium term

Healthcare, finance, legal, and insurance clients value auditable AI and can be sticky accounts.

Use investments as a growth engineLong term

Owning and transforming businesses can create both operating leverage and strategic control.

Geography

Subgen AI operates across Europe, the United States, and Latin America, with client activity spanning multiple geographies. The company also references a partner network and cross-border deployments, which makes geographic diversification part of its operating model rather than a single-market business.

Risks

Subgen AI’s model depends on winning and retaining enterprise customers, delivering reliable AI systems, and integrating partner-led sales and implementation. As an AI business with cross-border operations and investments, it also faces execution risk, customer concentration risk at the account level, counterparty risk, and valuation risk in its holdings and subsidiaries.

Sorted by severity
LowMediumHighLowMediumHighImpact →Likelihood →Investment and consolidation risk1Customer and counterparty risk2Geographic and regulatory risk4
Impact is the risk’s severity and likelihood how probable it is over the next few years, both assessed from the company’s reports. Numbers match the list.
  1. Investment and consolidation riskImpact: HighLikelihood: High

    The group invests in and controls businesses whose performance and valuation can affect reported results.

    ExposureSubsidiariesAssociatesAcquired businesses
  2. Customer and counterparty riskImpact: HighLikelihood: Medium

    Revenue depends on clients and suppliers meeting contractual obligations, while receivables can become uncollectible.

    Exposure: Trade receivables and partner/client relationships

  3. Execution risk in AI deploymentImpact: High

    The business must convert AI capabilities into working enterprise solutions across different industries and geographies.

    Exposure: Implementation projects and platform adoption

  4. Geographic and regulatory riskImpact: MediumLikelihood: Medium

    Operating across Europe, the US, and Latin America exposes the company to different legal and compliance regimes.

    Exposure: Cross-border sales and deployments

Accounting

Judgemental items
Reverse acquisition accounting

The group structure was formed through a reverse acquisition, which affects how the combined entity is presented in the financial statements.

Impact: Can change comparability of historical results and equity presentation

Consolidation and control assessment

The company holds and controls multiple subsidiaries and investment vehicles, so consolidation scope is important.

Impact: Determines which revenues, assets, and liabilities are included

Expected credit losses

Trade receivables and cash balances require judgment on collectability, especially in a multi-client model.

Impact: Affects impairment charges and net asset values

Impairment of investments

Holdings in group companies and acquired businesses may need write-downs if value declines.

Impact: Can materially affect reported profit and equity

Publicly listed companies with a comparable business focus.

Last updated: 24/09/2026

Subgen AI (SUBGEN) Revenue, Earnings & Financials 2025 – Clarifo