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Financial results presentation3687Fixstars CorporationInformation and Communications, Services and Others

Medium-Term Management Vision

The Company announced a policy to shift between October 2026 and September 2029 from a business model centered on contract development to one combining services with higher productivity through the use of AI and stock-based revenue generated by AI inference infrastructure and AI agents. It will advance the rollout of Fixstars Inference Cloud and Fixstars Vega, M&A and alliances, and expansion into North America.

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Contents of this document

Medium-Term Management Plan Presentation5 items taken from the company’s own explanation
What the company explained in this material
Assumptions Underlying the Business OutlookThe assumptions used by the company in preparing its forecast.
  • Inference to account for 55% of cloud spending for AI in 2026 (forecast)
  • Inference to account for 59% in 2027 (forecast)
  • Inference to account for more than 65% in 2029 (forecast)
  • Demand for generative AI to reach approximately ¥29.2 trillion globally and approximately ¥1.8 trillion in Japan in 2030 (forecast)
New initiatives
  • Planned public release of Fixstars Inference Cloud (shared AI inference cloud) in FY2027
  • Rollout of dedicated cloud and on-premises inference environments for enterprises
  • Start of external sales of Fixstars Vega and provision through dedicated and shared infrastructure
  • Increasing the value added of contract development through in-house use of APEX
  • Deepening alliances with semiconductor manufacturers and cloud service providers
  • M&A and capital alliances involving engineering organizations
  • Expansion into the North American market
  • Developing technology management talent, strengthening HR functions, and integrating M&A organizations
Key KPIsA metric the company considers important as a management benchmark.
  • Revenue per engineer
  • Annualized revenue from the AI business
  • Number of tokens processed for inference
Medium-term management plan targets
  • Plan period: October 2026 to September 2029
  • Establish business models for AI-native services, AI inference and AI Agents
  • Make stock-based revenue from inference and agents a core pillar by 2029
Market Size / Share
  • Global demand for generative AI: approximately ¥29.2 trillion (2030 forecast)
  • Demand for generative AI in Japan: approximately ¥1.8 trillion (2030 forecast)
  • Proportion of tokens used for inference that were from open models: approximately 33% in 2025 to approximately 60% in August 2026
Contents of this document
ItemDetails
Document typeMedium-Term Management Plan Presentation
Key KPIsIndicator Revenue per engineer / Year on year against the same period last year Not disclosed, Indicator Annualized revenue from the AI business / Year on year against the same period last year Not disclosed, Indicator Number of tokens processed for inference / Year on year against the same period last year Not disclosed
Assumptions Underlying the Business OutlookInference to account for 55% of cloud spending for AI in 2026 (forecast), Inference to account for 59% in 2027 (forecast), Inference to account for more than 65% in 2029 (forecast), Demand for generative AI to reach approximately ¥29.2 trillion globally and approximately ¥1.8 trillion in Japan in 2030 (forecast)
Medium-term management plan targetsPlan period: October 2026 to September 2029, Establish business models for AI-native services, AI inference and AI Agents, Make stock-based revenue from inference and agents a core pillar by 2029
Market Size / ShareGlobal demand for generative AI: approximately ¥29.2 trillion (2030 forecast), Demand for generative AI in Japan: approximately ¥1.8 trillion (2030 forecast), Proportion of tokens used for inference that were from open models: approximately 33% in 2025 to approximately 60% in August 2026
New initiativesPlanned public release of Fixstars Inference Cloud (shared AI inference cloud) in FY2027, Rollout of dedicated cloud and on-premises inference environments for enterprises, Start of external sales of Fixstars Vega and provision through dedicated and shared infrastructure, Increasing the value added of contract development through in-house use of APEX, Deepening alliances with semiconductor manufacturers and cloud service providers, M&A and capital alliances involving engineering organizations, Expansion into the North American market, Developing technology management talent, strengthening HR functions, and integrating M&A organizations
Items this document does not state (25)
Fiscal Period CoveredNet SalesOperating profitOrdinary incomeNet incomeGross Profit MarginOperating profit marginSelling, general and administrative expensesResults for the three months of the current quarterFull-year earnings forecastProgress against full-year forecastSelf-assessment against the planSegment resultsBreakdown of Factors Affecting the ChangeUnit price and quantity metricsNumber of stores and locationsNumber of employeesRisk amount incorporated into the outlookFinancial targetsAnnual DividendPayout ratioAcquisition of treasury sharesCapital expendituresOrders received and order backlogKey points of the Q&A

These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.

The reasons the company gives

The company's own explanation, not something inferred from the numbers.

While the previous medium-term management vision delivered progress in the business foundation, cloud business and AI platform products, more than 90% of revenue remained from contract development and stock-based revenue was still at the investment stage. A sales structure centered on incoming inquiries and a shortage of management talent also remained challenges. The Company additionally identified growing demand for AI inference, hardware diversification, the rise of open models and expanding demand for in-house operations as opportunities.

How to read this page

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Medium-Term Management Vision | Fixstars Corporation (3687) timely disclosure | Komori