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
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
Core Capabilities
Engineering Stack
01Hardware design
02Firmware systems
03Edge AI vision
04Secure production
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, and AI vision.
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.
PCB & Hardware Design
Schematic capture, multi-layer board layout, signal integrity, thermal planning, and hardware architecture.
Embedded Systems
Power-aware firmware and embedded software for microcontrollers, processors, sensors, and connected devices.
Firmware Design
Bootloaders, device drivers, communication stacks, and update mechanisms built for long-term reliability.
Computer Vision
Object detection, classification, segmentation, and real-time inference on edge devices or cloud-connected systems.
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.
Embedded Cybersecurity
Threat modeling, hardware root-of-trust, encrypted storage, TLS/mTLS, code signing, and secure update paths.
Yocto Linux
Custom, hardened, reproducible embedded Linux images with BSP work, custom layers, 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.
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 data platforms, knowledge intelligence, and computer vision.
Small pharma
Unified Data Platform for Experimental Science
Challenge
Data silos, weak reproducibility, poor collaboration.
Built
Cloud data lake, ingestion pipelines, lineage tracking, AI workflow APIs.
Result
Single source of truth, better collaboration, compliance readiness.
Mid-stage biotech
Biological Knowledge Intelligence Layer
Challenge
Fragmented papers, lab notes, assay reports, and external datasets.
Built
Document ingestion, entity extraction, knowledge graph, RAG query system.
Result
3-5x faster evidence access and fewer duplicated experiments.
Biotech lab
Computer Vision for Microscopy Analysis
Challenge
Slow manual analysis, inconsistent results, poor scalability.
Built
End-to-end image pipeline, cell classification, anomaly detection, dashboards.
Result
10x faster analysis with consistent, scalable workflows.
Proof & Stack
Experience across serious industries. Practical engineering stack.
Pharma, manufacturing, finance, hospitality, enterprise operations, and connected product systems.
Trusted by
- Gilead
- Central Pharma
- JUUL
- JSW Steel
- Aarvy
- MapleLMS
Powered by
- NVIDIA
- AWS
- Gemini
- Azure
- DeepStream
- Python
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