AI Operationalization for Industrial Companies

Bridging the Gap Between AI Pilots and Real Industrial Deployment

A Swiss-based AI and industrial digital transformation company is addressing one of the largest unresolved challenges in the industrial sector: converting fragmented AI experiments into scalable operational impact across plants, production systems, and industrial value chains.

The company specializes in Industrial AI Operationalization, combining:

• Data infrastructure
• Operational workflows
• Scalable deployment models

to enable industrial organizations to deploy AI solutions directly into day-to-day operations rather than leaving them at pilot stage.

Market Problem

Many industrial companies have invested heavily in:

• AI pilots
• Analytics initiatives
• Digital transformation programs
• OT/IT infrastructure

Yet very few succeed in scaling these initiatives operationally across factories or business units. The core issue is not lack of algorithms, but the inability to industrialize deployment within complex operational environments.

This creates a significant market opportunity for specialized AI operationalization partners capable of turning isolated experiments into repeatable, production-grade operational systems.

Competitive Positioning

The company differentiates itself through a methodology connecting:

Data + Operations + Deployment

This approach allows clients to:

• Scale AI solutions across industrial environments
• Improve productivity and operational efficiency
• Enhance sustainability metrics
• Generate measurable business impact from existing digital investments

Unlike many traditional AI consultancies, the company focuses specifically on operational deployment and industrial scalability rather than isolated proof-of-concepts.

Financial Highlights

Current Performance

• 2025 Revenue: approximately CHF 1.6M
• Gross Profit: approximately CHF 925k
• EBITDA: approximately CHF 300k
• EBITDA Margin: approximately 20%

Growth Outlook

• 2026 minimum revenue target: CHF 2.5M
• Expansion through both existing client growth and new client acquisition
• Continued EBITDA target range: 10–20%
• Planned commercialization of proprietary AI-powered products starting end-2026 / 2027

The company intends to leverage profitable consulting and implementation activities to finance the development of proprietary scalable AI products for broader European deployment.

Strategic Roadmap

2026

• Expand Swiss industrial client base
• Increase investment in sales and marketing
• Launch first proprietary AI-powered industrial products

2027

• Expand commercialization into selected European markets
• Scale recurring product-based revenues
• Continue sector-focused industrial AI deployment growth

Key Investment Highlights

• Strong positioning within industrial AI transformation
• Proven revenue generation and profitability
• High-value industrial client relationships
• Transition path from consulting revenues toward scalable AI products
• Swiss market credibility with international expansion potential
• Focus on operational ROI and measurable deployment outcomes

Risk Management

The company has identified and actively mitigates key risks related to:

• Talent acquisition
• Operational scalability
• Product commercialization timelines
• Client concentration
• Regulatory compliance
• Industrial market cycles

A primary strategic focus for 2026 is diversification of the client portfolio across sectors and geographies to reduce concentration exposure.

Disclaimer

This document is confidential and intended solely for preliminary discussion purposes with qualified investors or strategic partners. It does not constitute an offer to sell or a solicitation to purchase securities or financial instruments. Information contained herein has been obtained from sources believed reliable but has not been independently verified. Any investment decision should be based on independent due diligence and professional advice.