Robotics
Navigation, motion planning, autonomous behavior, and computer vision.
Software · AI Engineering
AI Engineering
Building Intelligent Products That Learn, Predict, and Automate
Artificial Intelligence is transforming the way products operate. From computer vision and predictive analytics to intelligent automation and large language models, SDI develops AI solutions that make connected products smarter, faster, and more valuable.
Our AI engineers work alongside hardware, firmware, software, and robotics teams to create intelligent products designed for real-world deployment.
AI Built for Products, Not Just Software
AI delivers the greatest value when it works together with hardware, sensors, embedded systems, and cloud platforms.
Whether you're developing a smart sensor, robotic system, industrial controller, healthcare device, or consumer product, we design AI that supports real-world decision making, automation, and user experiences.
From edge AI running directly on devices to cloud-based intelligence processing millions of data points, SDI helps businesses create products that continuously improve over time.
AI Engineering Services
Intelligent capabilities engineered for connected products, robotics, and industrial systems.
Computer Vision
Object detection, image recognition, quality inspection, and visual automation.
Predictive Intelligence
AI models that detect anomalies, forecast failures, and optimize performance.
Generative AI
Large Language Models (LLMs), intelligent assistants, workflow automation, and knowledge retrieval.
Edge AI
Machine learning models running directly on embedded devices for real-time decision making.
AI Integration
Connecting AI with sensors, mobile apps, cloud platforms, and enterprise systems.
Custom AI Solutions
AI engineered specifically for your products, workflows, and business objectives.
AI Applications
Industries and product categories where SDI AI engineering delivers measurable impact.
Smart Buildings
Predictive HVAC monitoring, occupancy intelligence, and energy optimization.
Industrial Automation
Equipment monitoring, quality inspection, and predictive maintenance.
Healthcare
Medical device intelligence, patient monitoring, and diagnostic assistance.
Retail
Inventory management, shelf monitoring, customer analytics, and automation.
Connected Products
AI-powered IoT devices that collect, analyze, and act on real-time data.
AI Technologies
Core technology stacks and engineering disciplines powering intelligent product platforms.
Machine Learning
Predictive models, classification, regression, and anomaly detection.
Computer Vision
Image processing, object recognition, segmentation, OCR, and visual inspection.
Large Language Models
Conversational AI, intelligent search, document analysis, and workflow automation.
Edge Computing
On-device inference for robotics, sensors, and embedded systems.
Cloud AI
Scalable model deployment, analytics, APIs, and data processing.
Data Engineering
Data pipelines, model training, monitoring, and continuous improvement.
AI Is Part of Every Connected Product
At SDI, AI is never developed in isolation. Our AI engineers collaborate with:
This integrated approach enables intelligent products that operate reliably from prototype through commercial production.
- Industrial Designers
- PCB Engineers
- Embedded Firmware Developers
- Robotics Engineers
- Software Developers
- Mobile App Teams
- Cloud Architects
- Manufacturing Engineers
Why Choose SDI
Product-Focused AI
We engineer AI that enhances physical products, connected devices, and real-world operations.
Integrated Engineering
Hardware, firmware, software, AI, and manufacturing managed by one engineering team.
Silicon Valley Innovation
Modern AI technologies applied to solve practical engineering challenges.
Scalable Solutions
AI systems designed to evolve as your products, customers, and business grow.
Ready to Build an AI-Enabled Product?
Whether you're integrating AI into a new product or enhancing an existing solution, SDI helps engineer intelligent systems that improve automation, decision making, and customer experiences.
Request a Free EstimateFrequently asked questions
Common questions about AI engineering, edge deployment, model integration, and product intelligence.
What types of AI does SDI develop for products?
We develop a wide range of product-focused AI, including computer vision, predictive intelligence, generative AI, edge AI inference, and deep integration frameworks connecting physical sensors to the cloud.
Can AI run on embedded devices without cloud connectivity?
Yes. We engineer Edge AI models optimized specifically to run directly on microcontrollers and embedded processors, enabling real-time, zero-latency decision-making completely offline.
How does SDI integrate AI with hardware and firmware teams?
Our AI engineers collaborate seamlessly with our internal PCB designers and firmware developers to ensure machine learning models fit within the exact compute, memory, and power constraints of your physical device.
What industries do you support with AI engineering?
We support diverse industries including robotics, smart building technology, industrial automation, healthcare/medical devices, retail automation, and connected consumer IoT products.
What is the difference between Edge AI and Cloud AI?
Edge AI processes data directly on the device for instantaneous results, while Cloud AI aggregates and processes data on powerful remote servers for deeper, long-term analytical insights and model retraining.
What types of computer vision solutions do you build?
We develop systems for automated optical quality inspection on assembly lines, real-time object detection, spatial navigation for robotics, and visual anomaly identification.
Can you help integrate Large Language Models (LLMs) into our product ecosystem?
Yes. We integrate LLMs and Generative AI to power intelligent digital assistants, automate technical documentation workflows, and create intuitive natural language user interfaces for connected hardware.
How does predictive maintenance work in your AI solutions?
We design predictive models that continuously analyze hardware sensor streams (like vibration, acoustics, and temperature) to catch mechanical anomalies and forecast failures before costly downtime happens.
Do you assist with data pipeline engineering and model training?
Absolutely. We build secure data pipelines, clean incoming hardware sensor datasets, train custom models, and deploy MLOps cycles for seamless, continuous model improvement.
How do you handle security for AI-enabled edge products?
We establish end-to-end security architectures, implementing hardware secure boot routines on the edge, full encryption for data in transit, and robust access controls at the API gateway layer.