Edge AI Development Services | Lemberg Solutions

Why invest in edge AI

By integrating AI and ML capabilities into the device, you achieve:

Real-time decision-making

Make instant decisions directly on-device, eliminating delays and reducing reliance on costly cloud infrastructure.

High performance in offline environments

Your system will keep running reliably even in disconnected fields and industrial sites.

Privacy-first data handling

Devices process data locally, keeping sensitive information secure; this way, you ensure compliance and reduce exposure to external risks.

Context-awareness

Interpreting sensor data enables the system to understand its environment and make smarter decisions.

Closed-loop systems autonomy

With edge AI capabilities, your system not only makes decisions but also analyzes outcomes and continuously adjusts its behavior.

Distributed intelligence

Scale intelligence across operations: your devices learn and share updates collectively to improve performance and efficiency.

Clients & Case studies

Delivering AI-powered systems across industries

See all clients

See all clients

AI-based ultrasonic device for rolling bearing condition monitoring - Teaser - Lemberg Solutions

AI-based ultrasonic device for rolling bearing condition monitoring

Analog-to-digital converter (ADC) development with integrated machine learning and ultrasonic sensors for rolling bearing condition analysis

Analog-to-digital converter (ADC) development with integrated machine learning and ultrasonic sensors for rolling bearing condition analysis

Germination analysis solution for greenhouses - Lemberg Solutions Case Study - Teaser.png

Germination analysis solution for greenhouses

Graphical user interface development for a computer vision-based device that analyzes the success of seed germination

Barkom Pigs - Overview - Lemberg Solutions.jpg

24x faster animal weighing with a computer vision-based device

Explore how Lemberg Solutions developed a first-of-its-kind solution that enables farmers to weigh pigs accurately and with ease.

Carepath - Teaser - Lemberg Solutions

IoT telemedicine platform for cough sound recognition

A healthcare device for home-based patient monitoring

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Electrical engineering for an industrial exoskeleton: collaboration with EASE and the Technical University of Munich

Explore Lemberg Solutions’ role in exoskeleton innovation. Discover how smart PCB design enabled mobility, safety, and industrial scalability.

Hardware-software co-design services

Every layer of the system built to work together

Doesn't matter whether your project is just starting or already in progress. As your edge AI development partner, we step in to define the right architecture, develop and integrate every component, and take it to production — under ISO 27001 and ISO 9001-certified processes.

Embedded engineering

Device engineered to run an AI model while performing reliably under constraints, backed by expert edge AI development services.

Hardware design & PCB development
Firmware & device driver development
AI inference engine integration
Platform and chip selection
Board support package development

Data & AI

Use your data to build and continuously improve an AI model that powers on-device decision-making.

Model architecture design & selection
Model optimization
Sensor fusion & multi-source data processing
Computer vision, NLP & predictive models
Continuous model retraining

Cloud–edge integration

Hybrid systems for real-time analytics on devices and for continuous updates through the cloud.

Edge-to-cloud data synchronization
Edge MLOps & OTA model updates
Device fleet monitoring & management
Distributed intelligence across device networks

Flexible deployment architectures

Choose the setup that aligns with your business priorities

Fully on-device

Data is processed on-site, keeping operations independent of external systems.

Best when you operate in environments with limited connectivity and require real-time performance with strict data privacy.

Hybrid edge-cloud

Critical decisions are made on the edge in real time, while the cloud enables analytics, scaling, and continuous improvement.

Best when you need both fast on-site decisions and long-term system optimization.

Cloud

All processing and management happen in the cloud, enabling easy scaling and centralized control.

Best for compute-intensive tasks, where real-time performance is not critical.

Tech stack

Edge AI Tech Stack: Languages, OS, Wireless, Communication Protocols, Hardware platforms and AI frameworks - Lemberg Solutions

Custom edge AI solutions

Delivering systems that fit your operations, from MVP to production

Agentic AI

An autonomous system that coordinates IoT devices, manages distributed sensor networks, and controls industrial equipment in real time.

On-device generative AI assistant

Run an optimized generative model directly on devices for offline AI assistants and multimodal applications with full data privacy.

Physical & embodied AI

AI systems for robots and autonomous, smart machinery that enable real-time perception and decision-making under strict constraints.

Predictive maintenance solutions

Identify early signs of failure or unusual behavior to prevent downtime and maintain equipment performance, with expertise from an edge AI development company.

Computer vision & inspection systems

Real-time computer vision on cameras, edge gateways, and embedded devices for inspection, safety monitoring, object detection, and visual analytics.

Embedded & AI leadership

Edge AI development partner that architects reliable systems from the ground up

Volodymyr Andrushchak - Data Science Team Lead at Lemberg Solution

Volodymyr Andrushchak

Data Science Team Lead

With a Ph.D. in Data Science, Volodymyr specializes in aligning neural models with constrained embedded environments. He transforms high-level algorithmic research into autonomous, on-device intelligence for critical sectors while maintaining total data sovereignty.

Data collection strategy & hypotheses validation • On-device data sovereignty
• AI roadmap oversight

Pavlo Matiieshyn - Head of Embedded Development at Lemberg Solutions

Pavlo Matiieshyn

Head of Embedded Development

By bringing 14+ years of experience in embedded engineering, Pavlo oversees system architecture for safety-critical and connected systems. He aligns the physical and digital layers for mass production and field durability.

Embedded system architecture & development • Security & compliance oversight

Yuriy Chen - Head of Cloud Engineering at Lemberg Solutions

Yuriy Chen

Head of Cloud Engineering

Yuriy has 10+ years of expertise in cloud and distributed systems, designing hybrid pipelines that synchronize edge devices with cloud platforms. His focus is on ensuring that every AI workload runs where it should for optimal latency and reliability.

Cloud-edge architecture design • Distributed edge-cloud data synchronization
• Cloud architecture & optimization

Industries

Edge artificial intelligence for regulated environments

Manufacturing & Industrial IoT

Edge AI development services help you detect anomalies instantly at the machine level, so issues are resolved before they escalate into downtime or quality loss.

IEC 62443 • IEC 61508 • ISO 13849

Automotive

Vehicles must react instantly to changing road conditions and safety risks. With edge computing, critical decisions are made in milliseconds, enabling reliable performance in unpredictable driving environments.

ISO 26262 • IEC 61508 • AUTOSAR

Healthcare

Healthcare demands both clinical speed and strict data protection. By bringing intelligence directly to medical devices, edge AI allows continuous monitoring, faster clinical responses, and the security of sensitive data.

FDA • HIPAA • IEC 62304 • ISO 13485

Energy

Edge AI provides continuous visibility and control over energy assets, even in unstable environments. By enabling local decision-making, outages are prevented and operations remain stable.

IEC 61850 • IEC 62443 • ISO 15118

Engagement models

Choose how we join your product development

End-to-end system engineering - Edge AI Development - Lemberg Solutions

Whether it's building from scratch, adding new features, or automating processes, a multidisciplinary team takes full ownership to deliver your solution.

Expertise support - Edge AI Development - Lemberg Solutions

Access specific expertise when needed — whether for consulting, solving targeted challenges, or strengthening your internal capabilities.

Product teams - Edge AI Development - Lemberg Solutions

Get a ready-to-perform team without the overhead of hiring and management. You define what needs to be done; our engineers will cover it for you.

Client experience

One of the most impressive things about Lemberg Solutions is that they take ownership of the product

Addison Merchut

Co-Founder at Hatch PD

Contact us

Kick-start your edge AI project

Get in touch with Andrew to discuss your business needs.

Andrew Mospan, Business Development Manager at Lemberg Solutions

Andrew Mospan

Account Executive

As an Account Executive, Andrew is dedicated to helping our clients unlock the full potential of embedded & IoT technologies in their projects. Leveraging over 15 years of experience in the industry, Andrew guides businesses in adopting cutting-edge solutions to drive growth and stay ahead of the competition.

Schedule a call

FAQ

What types of edge AI projects do you typically handle?
Beyond computer vision, predictive maintenance, agentic and generative AI, and physical AI systems, our company also works on battery analytics (SoC/SoH), BESS optimization, remote monitoring solutions, intelligent assistance systems, and AI-driven automation.
Do you provide support for both prototype and production deployment?
We provide full-cycle services: solution discovery, prototyping, and up to mass production support. The discovery phase starts with an analysis of your use case, hardware requirements, and industry demands to define the optimal roadmap. Then, data science and embedded engineering teams work in parallel to build AI model prototypes and validate their feasibility on your hardware. To ensure all parts work efficiently together, prototypes undergo iterative testing and optimization. Once your solution is validated, engineers provide support for production deployment so that your edge AI system performs reliably.
How do you optimize AI models for low latency, real-time processing?
To achieve low latency and accurate real-time data processing, your AI model will be adjusted with techniques such as compression, quantization, and pruning. Also, hardware acceleration and different inference frameworks ensure fast, reliable data processing directly on the device.
Do you offer post-deployment monitoring and maintenance for edge AI solutions?
Yes, we provide ongoing monitoring and maintenance to ensure your edge AI solution remains secure and high-performing after deployment. Lemberg Solutions’ edge AI developers support the system’s full lifecycle, including model performance monitoring, software and firmware updates, and proactive troubleshooting.
Can you integrate edge AI solutions with existing IoT or enterprise systems?
Yes, we work with existing IoT infrastructures and enterprise platforms to integrate edge AI capabilities without disrupting operations. By analyzing the current architecture, an AI solution is designed to connect edge devices with cloud services, enterprise software, and data platforms.
How do you ensure data security and privacy on edge devices?
Security is built into the architecture through mechanisms such as secure boot, device authentication, and trusted execution environments. Sensitive data is protected with encryption and secure storage, ensuring confidentiality both in transit and at rest. In addition, we use PKI-based authentication, conduct regular threat assessments and security audits to protect devices, data, and AI models from evolving cyber threats.