AI Solutions

From predictive analytics to edge intelligence, our AI solutions are built to unlock real value. We focus on practical, scalable applications of AI that make your products smarter, your processes faster, and your business more competitive.

AI That Actually Moves
the Needle

We don’t just experiment with AI—we engineer real-world applications that drive ROI. Our cross-disciplinary teams bring together data scientists, embedded engineers, and software architects to create tailored AI strategies that deliver measurable impact. Whether you’re enhancing an existing product or exploring new automation opportunities, we’ll help you harness AI in a way that aligns with your goals and infrastructure.

AI and Machine Learning Clients and Partners

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What We Build with AI

Our team has deployed AI across a wide range of industries to enhance functionality, improve performance, and enable intelligent decision-making—whether it's on-device or in the cloud.

Predictive Maintenance Systems

We use historical and real-time data to detect anomalies and predict failures—reducing downtime and improving operational efficiency.

Sensor Fusion & Signal Processing

We combine data from multiple sensors to improve accuracy and performance in systems like sports tech, health devices, and industrial IoT. 

Edge AI Deployment

We specialize in deploying AI models to low-power embedded systems—making your product smarter without the latency of cloud-only solutions.

Custom Model Development & Training

From dataset creation to model architecture and deployment, we tailor AI workflows to your product needs and performance goals.

From Data to Deployment: A Full-Cycle AI Pipeline

We take a systematic, tech-agnostic approach to applying AI—ensuring each phase of the process is tightly integrated with your broader product development goals.

Data Assessment & Goals

e assess your data, product architecture, and business goals to identify the most valuable and realistic AI opportunities.

 

Data Preparation & Labeling

We help you collect, clean, and label the right data to train accurate, reliable models.

Model Development & Validation

We experiment with and validate different AI approaches (including supervised, unsupervised, or deep learning) to find what performs best.

MVP & Future Evolutions

We deploy models to the cloud or edge devices, fine-tune performance in real-time environments, and monitor outputs for continuous improvement.

11

Months to Market

Full Swing Launch Monitor

A connected launch monitor trusted by PGA pros, with local UI and app/cloud integration to deliver real-time metrics and performance insights.

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AI & ML FAQs

AI is ideal for products that generate or interact with data—think connected devices, sensor-driven systems, automation tools, and platforms that benefit from personalization, prediction, or real-time decision making.

Not necessarily. We can help you assess what you already have and determine the best way to collect or generate the data you need.

Absolutely. We work within your current architecture to implement and optimize models without unnecessary disruption.

Take Your Product to the Next Level

We work with visionaries like you to turn complex ideas into successful, market-leading products. Get in touch with our team to start your next project. 

Stages of Product Development Lifecycle

There are various stages in our hardware design process that ensure sophisticated and efficient product quality.

In the case when COTS (Common Off the Shelf) hardware designs do not meet customer needs, custom hardware may be the solution. At this stage marketing requirements of the new product will be outlined, defining who the user would be, the intended use of the product, what the regulatory requirements would be, and what legal requirements the device would need to meet.

When selecting hardware components, we determine not only what ICs and discrete components are needed for the design, but also we work to reduce sourcing and longevity risks. We capture the operational data of selected components as well as the size and 3D data to facilitate PCB layout. Study, experimentation, and simulation are used as needed throughout this stage to further eliminate risk.

We utilize state-of-the-art tools for schematic capture including Altium Designer. We lay out components in a structured way that is well commented and easy for even a novice circuit designer to follow.

After schematics, we use these same state-of-the-art tools to create the PCB layout with component arrangement that ensures tight routing, low electromagnetic interference, and a proper fit for the mechanical constraints of the project.

After completing the design process, we progress to the next key stage–hardware prototyping.

While the design may seem complete, hardware prototyping ensures the product is easy to use, providing an optimized user experience (UX). This stage involves building and testing a functional prototype, ultimately assuring that the designed product can perform as needed by the client.

Based on the type of hardware design, system integration may include some or all of the following: integration with firmware/software, verification of connectors and fit within an enclosure, testing the hardware with other systems it must communicate with, and verification that the hardware is performing as designed and expected.

Prior to larger runs of the boards, we perform DFMA (design for manufacturing/assembly) checks. DFMA is a combination of two methodologies, Design for Manufacturing (DFM) and Design for Assembly (DFA). This combination enables a product design to be efficiently manufactured and easily assembled with minimum labor cost. Through the use of DFM/A, a company can prevent, detect, quantify and eliminate waste and manufacturing inefficiency within a product design. DFM/A is a break from tradition. With DFM/A, the Design and Manufacturing Engineers work together as a team in developing the product’s manufacturing and assembly methods simultaneously with the design.