For Mission-Critical Systems:Deterministic Engineering

In environments where system failure is not an option — thermal constraints, µs-level latency requirements and strict regulations — we assume full end-to-end technical responsibility. From custom BSP to TensorRT pipelines, EtherCAT master to deterministic fieldbus architectures — deterministic architectures engineered to last.

<5µsWorst-Case IRQSTM32H7 · oscilloscope verified
127fpsEdge AI InferenceJetson Orin NX · TensorRT FP16
<200msGlass-to-Glass VideoH.264 encode→decode pipeline
1.8sCold BootU-Boot Falcon Mode + LZ4

All measurements on production-grade hardware, oscilloscope verified

01Applications

What we build in the field

All case studies

03Industry Expertise

Field-proven industry experience

All industries

Industrial Automation

01

Fault-tolerant, deterministic motor control and PLC integration — zero unplanned downtime

  • Fault-tolerant architecture designed to eliminate unplanned downtime
  • Deterministic fieldbus communication over EtherCAT
  • IEC 62443-compliant hard real-time motor control
EtherCAT MasterHard Real-TimeIEC 62443

Agriculture & Autonomous

02

Cloud-independent real-time anomaly detection on SWaP-C constrained edge devices

  • Edge AI inference pipeline operating without cloud connectivity
  • Real-time anomaly detection via multi-sensor fusion
  • High-performance inference within tight SWaP-C power budgets
Edge AISensor FusionSWaP-C

04Why Spikedge?

Proven Results

Not marketing claims — oscilloscope-verified, field-tested data.

38.7µs → 4.2µs · σ 0.3µs

4.2µs Worst-Case IRQ

Deterministic motor control via TI-RTOS HWI direct dispatch. Identical precision every cycle, oscilloscope-verified.

Binary size −65%

18.4s → 1.8s Boot

U-Boot Falcon Mode, LZ4, SquashFS + tmpfs overlay. BSP architecture that cuts BOM cost.

Hardware Root of Trust

Secure Boot + dm-verity

From hardware trust root to kernel isolation. Air-gapped repo + ISO 27001 DevSecOps.

Integrated from day one

IEC 62443 · DO-178C

Compliance is not an afterthought — it is a core architectural decision from the very first design session.

End-to-end ownership

Algorithm → Silicon

Not fragmented components. We own the entire system — from BSP to Yocto distribution — for its full operational lifetime.

Engineering Lab

Engineering Proof Library

Latest technical publications, benchmark data and architecture profiles.

Enter the Lab

05How We Work

Deterministic Delivery Methodology

01

Discovery & Architecture

We start with NDA. Hardware constraints, latency requirements and regulatory framework are defined first.

02

BSP & Hardware Bring-up

Custom BSP from scratch, kernel optimization and secure boot chain for your specific hardware.

03

Integration & Test

Repeatable benchmarks under deterministic conditions — every claim oscilloscope-verified.

04

CVE Maintenance & OTA

Long-lifecycle industrial products need ongoing vulnerability management and fail-safe OTA update infrastructure.

All engagements are conducted under NDA. Every phase is documented with oscilloscope data and technical evidence.

No Vendor Lock-In

NXP, NVIDIA, Hailo, TI, STM32 — hardware-agnostic partnership. Resilience against supply chain pressure.

Regulatory Compliance from Day 1

IEC 62443, DO-178C, IEC 62304 — built into architectural decisions, not bolted on at the end.

Oscilloscope-Verified, Not Theoretical

Every metric measured on real production hardware. Field data, not datasheet values.

10-Year BSP Lifecycle

Industrial products live long. CVE maintenance, security patches and OTA infrastructure — for the full product lifecycle.

06Corporate Identity

An engineering team that measures and validates

Spikedge A.Ş. was founded in Bursa in 2026 and operates as an R&D center within Ulutek Technopark. The founding team brings 11+ years of field and design experience in embedded software and Edge AI to industrial automation, defense, and agricultural technology projects.

About Us
Founded
2026 · Bursa, Türkiye
R&D Center
Ulutek Technopark
Founding Team Experience
11+ years
Engagement Model
NDA-compatible process

07Research Report

Reliable AI Integration on Constrained Edge Devices

Real-Time Reference Models for Industrial IoT and Precision Agriculture Systems

How can machine learning models scale despite hardware constraints in heavy industrial environments with intermittent connectivity and hard latency budgets? Explore our technical report featuring field-proven architectural approaches, deeply analyzing sensor fusion efficiency, RTOS task scheduling and power optimization strategies.

PDF • 15 Pages

09Frequently Asked Questions

What technical buyers ask most often

How do you work? Where does a project start?
Most engagements start with an Architecture Audit: your current hardware/software architecture, bottlenecks, and measurement targets are clarified together. The audit deliverable includes a risk list, a recommended architecture, and a validation plan. Development then proceeds in sprints, each tied to a measurable technical outcome.
How are NDA and intellectual property handled?
We sign an NDA on every project. Ownership of code developed within the project scope is explicitly defined in the contract. Case studies on our website are published in anonymized form without disclosing client identity.
How do you validate your performance figures?
Latency and timing claims are validated with external instruments such as oscilloscopes and logic analyzers — not software timestamps — under defined load conditions and with repeatable test rigs. The measurement methodology is documented in the project report.
Which hardware platforms do you work with?
We have production experience on NVIDIA Jetson (Orin/Xavier), NXP i.MX 8/9, Hailo AI accelerators, Texas Instruments AM64x/Jacinto, and STM32/Cortex-M class platforms. For platforms outside this list, we can run an architectural fit assessment.
Do you work remotely or on-site?
We are based at Ulutek Technopark in Bursa, Türkiye. Development is largely remote; on-site work is planned for hardware bring-up, field measurement, and commissioning.

Strategic Technology Partnership

For Complex Engineering Challenges:
Strategic Technology Partnership

Whether you're designing HAL layers for a next-generation device or overcoming chronic performance and latency bottlenecks in an existing system, our engineering team is with you at every step. Let's evaluate your project's architectural feasibility, security regulations and technical risks together.