Klika Tech | Top AWS Consulting Firm 2026
Klika Tech:Co-Creating Intelligent Systems
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Klika Tech

Dave Marcinkowski, CEO

Co-Creating Intelligent Systems

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ImageDave Marcinkowski, CEO
What milestones reflect Klika Tech’s transition toward AI-driven intelligent systems development?

Over the past decade, Klika Tech’s evolution has been shaped by its partnership with Amazon Web Services (AWS), moving from IoT and cloud engineering to an AI-first innovator in connected systems. In June 2025, this journey culminated in its elevation to AWS Premier Tier Partner status and the achievement of the AWS Generative AI Competency, milestones that underscore its shift toward building intelligent, AI-driven solutions.

A premier AWS collaborator with deep expertise in IoT Core and Greengrass, Klika Tech is expanding capabilities across Microsoft Azure and Google Cloud to deliver hardware-agnostic, multi-cloud flexibility, enabling clients to leverage best-in-class AI services across the hyperscaler ecosystem.

“We’re living AI,” says Dave Marcinkowski. “Our entire company is undergoing an AI transformation, with leadership committed to making AI-assisted development the standard.”

Beyond being a mere consultant, Klika Tech operates as a co-creator, partnering with customers to design, engineer and launch connected solutions that move beyond proof-of-concepts and reach real-world deployment.

A notable example is its collaboration with LUCI to develop a connected wheelchair platform integrating stereo vision, radar and ultrasonic sensors for autonomous-grade collision avoidance at the edge.

The innovation earned the 2023 AWS Innovation Partner of the Year Award and the 2024 IoT Breakthrough Awards “Public Safety Solution of the Year,” while also being named one of the “100 Greatest Innovations of 2020” by Popular Science.

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We’re living AI. Our entire company is undergoing an AI transformation, with leadership committed to making AI-assisted development the standard.Image


Headquartered in the United States, Klika Tech operates globally and holds ISO 9001:2015 and ISO/IEC 27001:2013 certifications.

Turning IoT Vision into Scalable Platforms

How does Klika Tech’s silicon-to-software model integrate hardware and cloud intelligence effectively?

Sharpening its competitive edge, Klika Tech applies a “silicon-to-software” engineering model that bridges the physical and digital worlds. Embedded systems and edge firmware are integrated with cloud-native architectures and generative AI so intelligent decision-making begins at the hardware level. Strategic partnerships with STMicroelectronics and Nordic Semiconductor further enable advanced on-device intelligence.

Its ‘listen-first’ methodology reduces implementation risk by aligning technical architecture with real-world business constraints. Acting as a strategic advisor, Klika Tech evaluates hardware feasibility, transmission protocols and regulatory requirements before development to ensure scalable, cost-efficient architectures.

This approach was evident in its engagement with Quext. It was initially tasked with developing firmware for a connected thermostat. But Klika Tech’s discovery process revealed broader infrastructure challenges, leading to the development of a comprehensive IoT platform integrating HVAC management, access control and resident engagement.

The platform delivered measurable results across more than 25,000 apartments—achieving 26 percent energy savings, reducing HVAC maintenance by 40 percent and eliminating resident lockouts entirely.

Moving AI from Edge to Cloud

Why is bridging fragmented data systems essential for enabling AI-driven decision-making across environments?

Klika Tech helps organizations bridge the ‘data-to-insight’ gap created by fragmented legacy systems and resistance to AI-driven decision-making. By combining edge intelligence with cloud-based AI, it transforms raw IoT data into predictive insights and automated, real-time decision-making. Using a “What If?” innovation mindset and modular accelerators, it retrofits legacy infrastructure and enables cloud data ingestion from day one.

One example is its Manufacturing Anomaly Detection Accelerator developed with Infineon Technologies and AWS. The system combines TinyML edge processing with Amazon Bedrock for equipment monitoring and Amazon Polly to deliver real-time voice diagnostics to plant staff.

Machine learning spans Klika Tech’s IoT stack—from TinyML on microcontrollers to cloud modeling with Amazon SageMaker and Bedrock. Its GLUCOSE Agentic-AI platform, recognized as a 2024 Generative AI Product of the Year, demonstrates continuous autonomous diagnostics for industrial equipment.

To accelerate enterprise AI adoption, the company launched Velocity™—the Value-Engineered Lifecycle for Optimized Corporate AI—enabling organizations to leverage reference architectures and solution accelerators through AI-assisted development workflows.

In what way does decentralized intelligence improve device management and real-time operational efficiency?

Another defining trend is the decentralization of intelligence. Klika Tech addresses distributed fleet complexity through secure, automated device onboarding that ensures operational efficiency and regulatory compliance. Using AWS IoT Greengrass and advanced silicon, it transforms edge gateways into intelligent hubs capable of millisecond-level, safety-critical decision-making while optimizing cloud costs.

At the forefront of connected innovation, Klika Tech continues its mission to empower innovators to build smarter systems that improve everyday life.

Deep Dive

Why Strategic AWS Advisory Determines Cloud Innovation Outcomes

Enterprise technology leaders continue to expand their use of Amazon Web Services as cloud adoption moves forward. Many organizations no longer treat AWS as a hosting environment but as a foundation for building digital products, connected ecosystems and data-driven services. The shift has created a growing demand for consulting partners that can guide complex architecture decisions while translating cloud capabilities into real-world business value. Experience across the full lifecycle of connected systems has become a defining expectation in this environment. Modern cloud programs often intersect with edge computing, embedded hardware and large-scale data processing pipelines. An advisory partner must therefore understand how information travels from devices to cloud platforms and eventually to analytics or automation layers. Consulting firms that focus only on application development frequently struggle when projects extend into device firmware, network protocols or edge intelligence. Firms able to coordinate these layers help avoid fragmented architectures and accelerate the path from concept to deployable solutions. Deep technical alignment with the AWS ecosystem also shapes successful engagements. The AWS platform evolves through services spanning streaming data pipelines, machine learning frameworks and device connectivity. Consulting partners that maintain extensive certification depth and direct collaboration with the AWS partner network often guide clients more effectively through this expanding landscape. Technical familiarity alone, however, does not ensure results. Implementation experience across multiple industries enables advisors to translate platform features into practical deployment patterns that organizations can scale and maintain. Equally important is the ability to bridge the gap between raw data collection and meaningful decision support. Connected products, industrial sensors and smart infrastructure now generate enormous volumes of data. Many enterprises discover that gathering information is relatively straightforward while transforming it into useful insight proves far more difficult. Consulting partners that combine cloud architecture with analytics design, machine learning integration and domain-specific modeling help organizations move from monitoring systems toward predictive decision-making. Such capability becomes critical in manufacturing environments, connected buildings and asset-heavy operations where predictive insights influence maintenance planning, resource allocation and service reliability. Early-stage collaboration also plays a decisive role in complex cloud transformations. Organizations frequently approach cloud initiatives with a narrowly defined technical requirement, only to discover deeper structural challenges during development. Consulting partners that conduct detailed discovery before implementation often reshape the initial roadmap, identifying architectural adjustments that reduce long-term cost or unlock new capabilities. This type of design-led engagement helps companies avoid short-term fixes that later require extensive rebuilding. Enterprises evaluating AWS advisory firms increasingly look for partners able to integrate cloud services with edge devices, advanced analytics and emerging artificial intelligence models. The rise of intelligent infrastructure, distributed systems and connected products requires a consulting model that connects engineering disciplines that traditionally operated in isolation. Firms capable of coordinating silicon-level hardware design, device firmware and cloud-native analytics architectures offer a clearer path toward scalable digital systems. Among firms operating in this space, KLIKA TECH stands out as a compelling choice. The company combines deep AWS expertise with multidisciplinary engineering that spans embedded systems, edge devices and cloud-native AI architectures. Its approach integrates hardware development, firmware engineering and AWS services into unified connected solutions, allowing enterprises to translate device data into predictive intelligence and automated workflows. Case implementations illustrate how this model can expand a single device initiative into a full IoT platform capable of managing large-scale environments while delivering measurable efficiency improvements. The firm’s decade-long collaboration with AWS, broad certification base and specialized accelerators for AI and IoT deployment position it as a trusted advisor for enterprises building intelligent cloud-driven systems....Read more
Top AWS Consulting Firm 2026

Company
Klika Tech

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Management
Dave Marcinkowski, CEO

Description
Klika Tech is a global technology company specializing in AI-driven IoT solutions. It designs and engineers connected products by integrating embedded systems, edge computing, and cloud architectures. Working closely with innovators, Klika Tech helps transform ideas into scalable, intelligent systems that enable real-world adoption across industries.