New Product Development
Concept through working prototype with a technical team that navigates unknowns and keeps the product path market-ready.
Hardware · Firmware · Vision · Security · AR/VR · AI/ML
Engineering intelligent products from concept to production.
EYEOTA.AI builds hardware, firmware, and intelligent systems for connected products.
- Multi-disciplinary product engineering from investigation to launch
- PCB, embedded systems, firmware, edge AI, and security
- Prototype, validation, and production support under one roof
Product Engineering
Full Lifecycle
Hardware, firmware, and AI systems that ship.
Unknowns de-risked. Prototypes validated. Production paths planned.
PCB & Hardware
Embedded Linux
Computer Vision
Cybersecurity
AR/VR
AI/ML
Core Capabilities
Engineering Stack
01Hardware design
02Firmware systems
03Edge AI vision
04Secure production
05AR/VR experiences
06AI/ML solutions
50+ projects delivered
Concept, prototype, and production support.
25+ years of engineering leadership
Technology, data, and production systems.
12+ industries served
Pharma, manufacturing, finance, hospitality, and operations.
100% client confidentiality
NDAs, secure delivery practices, and client-owned IP.
What We Do
End-to-end product engineering.
From early-stage investigation to full-scale production, including secure embedded Linux, cybersecurity, AI vision, AR/VR, and AI/ML.
RTOS, bare-metal, and embedded Linux firmware for microcontrollers, processors, and connected devices. Object detection, classification, segmentation, and real-time inference on edge or cloud-connected systems. Schematic capture, multi-layer board layout, signal integrity, and hardware architecture. Secure boot, encrypted storage, code signing, threat modeling, and secure update paths.
Engineering Investigation
Analysis, testing, and validation of core technology before committing to full development.
Production
Prototype-to-production planning with quality assurance, manufacturing coordination, and supplier alignment.
Rapid Prototyping
Fast iteration from breadboard to functional prototype, validating assumptions before expensive rework appears.
Systems Integration
Hardware, firmware, software, sensor input, connectivity, and dashboards brought together into one reliable system.
Yocto Linux & RTOS
Custom, hardened Yocto Linux images and RTOS/bare-metal firmware with BSP work, drivers, SDKs, and OTA integration.
Buildroot Systems
Lean embedded Linux for constrained hardware that needs deterministic boot times and a small production footprint.
Technical Depth
Deep expertise across the stack.
Specialized engineering knowledge from silicon to application so nothing gets lost between disciplines.
Specialized areas
- Microcontroller and FPGA development
- Signal integrity and analog design
- Edge AI and computer vision
- Wireless and industrial communication protocols
- Embedded cybersecurity
- Yocto and Buildroot Linux
Why it matters
Hard product problems live at the hardware-software-intelligence intersection. Architecture decisions need to account for real devices, deployment constraints, security, and manufacturability.
Technical depth.
From silicon choices to secure connected products.
How We Work
A proven process from discovery to production.
Clear milestones, transparent communication, and technical rigor at every step of the engagement.
01
Discovery & Scoping
Understand goals, constraints, and technical requirements before writing code or routing traces.
02
Investigation & Feasibility
Validate assumptions, identify risk early, and confirm the right path with proof-of-concept builds.
03
Design & Development
Execute hardware, firmware, embedded Linux, AI integration, and software work with regular reviews.
04
Validation & Production
Test rigorously, support regulatory planning, and hand off cleanly for production at the right scale.
Why Eyeota.ai
Built for hard engineering problems.
Specialists in the hardware-software-intelligence intersection, with practical focus on reliability, security, and production readiness.
Hardware-first thinking
Architecture decisions are grounded in what real hardware can do reliably, repeatedly, and at scale.
Firmware to cloud
The full stack is handled together, reducing surprises between low-level firmware, edge inference, and connected software.
Client-owned IP
Schematics, source code, and design decisions created for the engagement belong to the client.
Computer vision native
Camera selection, model optimization, and edge deployment are treated as first-class product architecture concerns.
Security by design
Secure boot, encrypted storage, code signing, threat modeling, and connected-device risk are designed in early.
Production-ready output
DFM reviews, BOM planning, validation, and supplier coordination help products move beyond prototype.
Immersive AR/VR
Augmented and virtual reality experiences for training, visualization, and product design, delivered with our partner Rwizen.
AI/ML solutions
Applied machine learning, model training, and intelligent automation that turn product data into decisions.
Founder Credentials
Founder-led by engineering experience.
25+ years delivering technology, data, AI, and production systems across enterprise and growth-stage teams.
Technology, analytics, and production systems.
Enterprise software, services, and applied AI.
Enterprise depth with founder-led speed.
Remote engagements and on-site sessions.
Case Studies
Applied systems built for real technical work.
Examples across embedded Linux, robotics, smart devices, assistive technology, and connected agriculture.
Embedded platforms
Embedded Linux / IoT Systems
Challenge
Complex embedded systems required stable Linux bring-up, hardware integration, and remote firmware reliability across custom devices. Teams faced delays debugging kernel, driver, and board-level communication issues during development and manufacturing.
Built
Developed Yocto Linux and Android-based embedded platforms on Raspberry Pi and Qualcomm QCS610 devices. Integrated device drivers, sensor interfaces, firmware update systems, and automated validation workflows.
Result
Reduced manual debugging time and improved deployment stability for production and R&D environments. Enabled scalable embedded development workflows with reliable hardware-software integration.
Robotics systems
Robotics & Edge AI Systems
Challenge
Robotics platforms needed efficient edge processing, sensor communication, and real-time system control. Developers struggled with integrating AI workloads on constrained embedded hardware platforms.
Built
Integrated LIDAR, IMU, pressure sensors, and AI inference pipelines on Raspberry Pi and embedded Linux systems. Worked with Spot SDK, Webots simulation, and edge AI deployment workflows using Yocto environments.
Result
Improved real-time sensing, autonomous system experimentation, and edge-device AI performance. Enabled scalable robotics prototyping with optimized embedded processing pipelines.
Smart devices
EdTech & Smart Device Platforms
Challenge
Educational devices required reliable Android/Linux integration with strong manufacturing and testing support. Manual validation and production troubleshooting slowed product reliability improvements.
Built
Developed Android/Linux device drivers, charging systems, camera integrations, and automation frameworks. Supported manufacturing validation, onsite debugging, and product issue resolution for deployed devices.
Result
Reduced manual testing effort while improving product stability and deployment confidence. Accelerated production support workflows and improved overall device reliability.
Assistive tech
Medical / Assistive Technology
Challenge
Assistive healthcare devices required accurate sensor monitoring and dependable embedded communication systems. Maintaining stable real-time data acquisition across multiple hardware interfaces was critical.
Built
Developed sensor integration systems using SPI and I2C for prosthetic and soft robotic applications. Built monitoring, calibration, and battery-management workflows using Arduino and embedded controllers.
Result
Enabled reliable sensor-driven control and monitoring for assistive wearable systems. Improved system accuracy, portability, and real-time hardware responsiveness.
Smart farming
Agriculture Technology / Smart Farming
Challenge
Agriculture monitoring systems required reliable embedded hardware with scalable sensor communication and field-ready performance. Existing software needed migration to newer embedded platforms while maintaining hardware compatibility and system stability.
Built
Worked with Beagle Technologies to port embedded codebases to the Arduino Portenta platform. Supported firmware adaptation, hardware interfacing, and embedded system optimization for smart agriculture applications.
Result
Enabled smoother migration to modern embedded hardware with improved performance and maintainability. Helped accelerate development of reliable agri-tech solutions for connected monitoring and automation systems.
Proof & Stack
Experience across serious industries. Practical engineering stack.
Pharma, manufacturing, finance, hospitality, enterprise operations, and connected product systems.
Trusted by
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Beagle Technology
Next Step
Ready to engineer your intelligent product from concept to production?
Hardware, firmware, embedded Linux, edge AI, and secure production support.
Availability
Founder-led product engineering.
Hardware, firmware, embedded Linux, and secure delivery.
Location
Mountain View, California
319 N Bernardo Ave, Ste 318, Mountain View, CA 94043