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AI empowered products

AI Powered Products: Helping Companies Turn Intelligence Into Value 

Artificial Intelligence (AI) has moved beyond research labs and now powers everyday products and industrial systems alike. From medical instruments and energy sensors to connected vehicles and factory machinery, AI enables devices to sense, decide, and improve in real time.

Across industries, AI is transforming not only how products function but how companies operate. At Etteplan, we help clients design AI-empowered products and services that learn, adapt, and improve, thus, turning intelligence into real value for both manufacturers and asset owners. [Read: Building Trusted and Compliant AI Devices with Secure Edge AI]

At Etteplan, we see two main customer groups on this journey: 

  • Product innovators and R&D teams integrate practical AI features to make their products smarter. 
  • Advanced industrial companies or asset owners using AI insights to optimize entire facilities and services. 

Though their goals differ, both share one challenge, and that is turning AI potential into measurable business value. No matter the starting point whether a first AI prototype or a full digital fleet, Etteplan’s AI Readiness Assessment helps identify realistic, value-driven use cases for both innovators and operators. 

"AI is no longer rocket science. It’s become an accessible technology that any product manufacturer or service provider can adopt cost-effectively and securely."

Eero Kaappa

Service Solutions Director at Etteplan

From Smart Features to Smart Business Models

AI creates the most impact when it becomes part of the product’s core value and not just an add-on feature. For R&D-driven companies, it might mean embedding predictive maintenance, adaptive control, or automated quality inspection. For asset owners, it’s about turning operational data into uptime, efficiency, and customer satisfaction. 

Beyond physical products, AI now powers connected services from predictive maintenance contracts to performance-based offerings, helping clients succeed not just with their products but also with the services that support them. Some customers take their first AI step by automating a single task. Others go further connecting hundreds of devices, analyzing real-time data, and building new services.

The embedded AI ecosystem is evolving rapidly, shifting from generic compute architectures to specialized hardware–software stacks. This transition allows companies to achieve better energy efficiency and scalability for AI at the edge. Instead of chasing raw compute performance (measured in TOPS (Tera Operations Per Second)), manufacturers are now focusing on performance-per-watt that is a more realistic measure for power-constrained environments such as IoT sensors, wearables, and industrial devices around it.” 

Etteplan helps both types of clients move from experimentation to implementation, aligning AI capabilities with tangible outcomes such as reduced downtime, faster product cycles, or new service-based business models. 

Two AI Journeys: Simple vs. Advanced

R&D Innovators focus on embedding lightweight intelligence in products to make them smarter, safer, and easier to maintain. Asset Owners & Operators focus on optimizing systems, facilities, and services using AI insights from connected assets. 

CUSTOMER TYPEPRIMARY GOALAI FOCUSTYPICAL OUTCOMES
R &D innovatorsSmarter feature rich productsEmbedded AI, vision, predictive algorithmsShorter dev cycles, new product differentiation
Asset Owners/
Operators
Optimised assets & servicesPredictive analytics, AI dashboardsReduced downtime, efficiency, new service models

Making Products Smarter

These customers are typically R&D-focused manufacturers aiming to integrate lightweight AI features without redesigning their products from scratch. The move toward AI-empowered products is driven by four key factors: 

  • Latency and reliability: In mission-critical systems like manufacturing or healthcare, on-device AI eliminates network delays and ensures real-time decisions. 
  • Data privacy: Processing data locally keeps sensitive information within the device, reducing exposure risks. 
  • Bandwidth efficiency: Local inference reduces the need to stream raw data to the cloud. 
  • Operational resilience: Devices continue functioning even in low-connectivity environments. 

These drivers explain why AI is increasingly embedded directly into products rather than relying solely on cloud connectivity. Typical use cases include: 

  • Intelligent sensors detect faults early. 
  • Embedded AI for product personalization and adaptive behavior. 
  • Automated inspection using vision AI. 
  • Predictive maintenance that learns wear and tear patterns. 

Etteplan supports them with end-to-end AI integration, from data collection and embedded algorithms to validation and certification.

Using proven hardware and cybersecurity components helps shorten certification time and ensures long-term reliability. By building on pre-certified components, companies can reach compliance faster, especially with the EU Cyber Resilience Act coming into effect. [Explore: AI Compliance and the EU AI Act – What Product Teams Must Do Now]

Optimizing Operations and Services

Advanced customers, typically in manufacturing, energy, and logistics already have connected systems generating vast data. Their goal is to use AI to optimize assets, reduce energy consumption, and predict failures before they happen. 

Examples include: 

  • AI-driven production scheduling and predictive maintenance. 
  • Energy forecasting and efficiency optimization. 
  • Computer vision for defect detection or safety compliance. 
  • AI dashboards turning equipment data into service insights. 

Etteplan helps translate raw data into actionable intelligence by combining AI analytics, domain expertise, and software integration.

“We bring hardware, machine-learning models, and security into one working system and that’s where our real value lies.”

Common Challenges in Starting an AI Journey

While motivations vary, most companies face similar hurdles when beginning with AI: 

  • Unclear use cases: Starting with technology instead of business value. 
  • Data readiness: Inconsistent or incomplete data pipelines. 
  • Integration complexity: Merging AI with existing hardware and systems. 
  • Skill gap: Limited internal knowledge of AI/ML. 
  • Scalability and compliance: From pilot to production, ensuring documentation, traceability, and cybersecurity. 

Etteplan helps address these through structured AI Readiness Assessments that align technical capability with business goals, ensuring every project starts from a realistic foundation. 

Etteplan’s Approach: From Concept to Certification

Etteplan acts as a trusted AI partner, guiding companies from concept to certified deployment. 

We help R&D and operational teams:

  1. Evaluate data quality and hardware readiness. 
  2. Prototype and validate feasibility. 
  3. Scale securely with documentation and lifecycle support. 
  4. Identify valuable AI use cases. 

Etteplan collaborates with leading hardware platforms (NVIDIA Jetson, Intel, STM32, Hailo, Alif Semiconductor) and edge AI software tools (Ekkono, Edge Impulse), ensuring customers get the right combination of hardware and software for their use case. That means balancing performance-per-watt, software maturity, certification readiness, and long-term availability. Rather than focusing only on chip performance, we help customers achieve the right balance between hardware capabilities, software ecosystems, and certification readiness, ensuring that every AI solution is both powerful and practical. 

Success in AI product development depends on matching model efficiency and hardware capabilities to the use case, sometimes, requiring advanced toolchains and optimized hardware, and other times focusing on lightweight models that run on minimal resources 

“We act as an extension of our customer team. Our role is to integrate AI safely and effectively, while the client focuses on their core business.” 

Eero Kaappa

AI in Action: Where It Creates the Most Impact

Etteplan focuses on industries where AI generates immediate operational and financial benefits: 

  • Industrial equipment: Predictive maintenance and quality monitoring. 
  • Energy: Smart metering, consumption optimization, and fault prediction. 
  • Electronics and IoT devices: Smarter, more efficient connected products. 
  • Mobility and logistics: Fleet optimization and route intelligence. 

Etteplan helps clients prepare for this shift by designing modular, upgradeable architectures that can evolve with AI capabilities.

By processing data locally near sensors, embedded AI reduces radio transmission and power use, making devices more efficient and sustainable. In energy and heavy-equipment sectors, it helps extend asset’s life and improve safety. 

Building Trust and Long-Term Value

True AI success depends on reliability, security, and business alignment, not just on algorithms. Etteplan ensures that AI becomes a sustainable differentiator, embedding maintainability and compliance into every stage of product and service design.

For R&D innovators, this means simplifying complex technology into reliable, certified features. For asset owners, it means turning AI insights into performance and service revenue. 

AI transformation is already reshaping how companies design, deliver, and maintain their products. By empowering both innovators and operators, Etteplan ensures that AI becomes not just a technology layer but a driver of long-term value creation across products, facilities, and services. By embedding intelligence securely and ethically, Etteplan helps businesses modernize products and services safely and sustainably.

For compliance or hardware guidance, also explore our articles on AI Compliance and the EU AI Act and Choosing the Right Hardware for Edge AI.

AI expert at Etteplan
"AI isn’t about replacing engineers but it’s about giving products and systems the intelligence to support them."

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Etteplan helps companies design, implement, and scale AI solutions that deliver measurable results, from embedded intelligence in devices to large-scale operational optimization.

Let’s discuss how to bring AI into your product or service safely, efficiently, and strategically. Contact us now!

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Eero Kaappa

Service Solutions Director