We bridge hardware and cloud to help product teams ship connected embedded systems end to end — device platform, hardware security, release engineering, and AI-powered fleet operations. Your code and telemetry stay in your infrastructure.
Stack
Deep hands-on experience across device software, cloud workflows, and operational tooling
Got a product that needs stronger engineering across device, cloud, and operations?
Discuss your stackIndustries
We work where devices, cloud systems, and support operations have to function as one product.
Secure fleet management at scale
Device licensing, cloud connectivity, OTA updates
Remote monitoring, field reliability, telemetry
Scalable device networks + health monitoring
Operational AI, telemetry, and connectivity for real shipped systems
What we do
Linux BSP, device drivers, firmware & real-time systems
Hardware-bound anti-cloning, secure boot, hardware crypto
AWS IoT, Azure IoT Hub, device onboarding
CI/CD, signing, hardware-in-the-loop testing, and reproducible builds
Model optimization, quantization, and production inference on constrained edge hardware
Threat modeling, model integrity, data residency, and guardrails for AI on edge and embedded devices
Ansible-based staged rollouts, canary deployment, and security patch automation for production device fleets
Private AI-assisted incident triage grounded in your logs, code, docs, and known issues
We take on undocumented, EOL, no-tests systems your team avoids — and hand them back in a state engineers can own
Why Veytron
Most consultancies know software OR hardware. We do both — firmware, security, cloud, release engineering, and fleet operations as one system.
AI triage, log analysis, and fleet observability run on-prem by default. Code and telemetry never leave your network unless you choose otherwise.
We use AI for fleet triage, evidence gathering, and support workflows — not as a gimmick bolted onto hardware.
For complex initiatives where you need someone who can make a real call, not just a slide deck.
No overengineering. We hand things back in a state your engineers can own and extend.
Our stack is built on open-source foundations — Linux, Yocto, FreeRTOS, and open tooling. No vendor lock-in, no per-unit license costs, full auditability, and a codebase the whole community hardens. We know how to structure projects so your proprietary business logic stays clean of GPL obligations.
Use Cases
Secure device-bound licenses using hardware root of trust — no license server sprawl, no cloning.
End-to-end certificate provisioning, fleet enrollment, and MQTT architecture for 50 000+ field devices on AWS IoT and Azure IoT Hub.
On-prem incident triage workflow that reduced many investigations from 20–40 minutes to under 5 minutes by isolating the right log window and grounding analysis in code, docs, and known issues.
Inherited a production system with a hand-rolled Linux kernel 3, no build docs, no tests, compiled on end-of-life CentOS. Wrote tests first, migrated BSP to Buildroot and build system to CMake on Ubuntu 24 — production never interrupted.
Practical guides from real embedded and IoT projects.
A client needed AI-powered incident analysis for their IoT fleet, but security policy prohibited sending device telemetry to any external service. We built it on their existing hardware.
How to design fleet-level health monitoring for thousands of IoT devices — topology choices, data pipelines, and the anomaly detection layer.
How to take a trained model and make it actually run on your constrained embedded hardware — quantization, pruning, and deployment strategies. Includes five failure modes we've seen kill projects after the prototype worked.
Hardware-bound licensing using TPM 2.0 — how to architect it correctly, and the mistakes that cause production incidents.
Short engagements, clear scope, no surprises. Tell us about your system and we'll take it from there.
