AI-native engineering studio

One accountable team, from silicon to screen.

Rivix engineers connected products — embedded hardware, firmware, cloud backends and mobile apps — as one system. AI accelerates the drafting; named senior engineers own every safety, power and cost decision.

4–6×Estimated faster to prototype
~30–45%Estimated lower build cost
1Team, full stack: HW→App
What we build

One team, the full stack of a connected product.

Connected products usually mean a hardware house, a firmware contractor and a cloud team — with gaps between each. We keep it under one roof, one codebase philosophy, one AI-assisted pipeline. See how we approach this as an IoT development company →

[HW]

Embedded Hardware

Schematic capture, PCB layout, component sourcing and DFM review for products that need to survive the real world, not just the bench. This is one layer of our work as a hardware product development company.

  • Schematic & PCB design
  • Sensor & power architecture
  • Prototyping & bring-up
  • DFM / certification prep
Explore hardware →
[FW]

Firmware

Low-level drivers to real-time control loops, built for power efficiency and field-grade reliability from day one.

  • Bare-metal, RTOS & embedded Linux
  • BLE / Wi-Fi / LoRa / cellular
  • OTA update pipelines
  • Power & performance tuning
Explore firmware →
[CLOUD]

Cloud & Device Platforms

Fleet management, telemetry pipelines and APIs that scale from ten pilot devices to a hundred thousand in the field.

  • Device fleet management
  • Telemetry & analytics pipelines
  • API & microservices
  • Security & OTA infrastructure
Explore cloud →
[APP]

Mobile & Web Apps

The interface your customer actually touches — native iOS/Android and web dashboards that talk directly to your hardware.

  • iOS & Android native
  • Cross-platform (React Native/Flutter)
  • Companion & dashboard apps
  • Bluetooth / device pairing UX
Explore mobile & web →
[AI]

AI & Intelligence

Not a bolt-on chatbot — AI woven into the product itself: on-device inference, predictive maintenance, and copilots for your users.

  • On-device / edge ML
  • Predictive analytics
  • LLM-powered product copilots
  • Anomaly & fault detection
Explore AI & Intelligence →
[OPS]

Delivery, run AI-first

Our own build pipeline uses AI at every stage — spec to code to test — which is exactly why we can quote weeks where others quote quarters.

  • AI-assisted architecture & spec
  • Automated test generation
  • Continuous integration for firmware
  • Documentation, always current
Where we fit

Industries we build for, technology we build with.

This is the domain expertise and stack our team is built around. See Proof of Work by industry →

Industries

Technology

Silicon & MCU
NVIDIAQualcommNXPTISTMicroelectronicsEspressifNordic SemiconductorMicrochipSilicon LabsBroadcom
Cloud & Connectivity
AWS IoTAzure IoTGoogle CloudBLEWi-FiLoRaWANZigbeeMatter / ThreadZ-Wave
Why AI-first, not AI-added

Legacy shops bolt AI onto an old process. We built the process around it.

The difference shows up in the quote and the calendar — not just the demo.

Legacy Services company
Spec & architecture
Weeks of manual documents
Firmware & backend code
Hand-written line by line
Testing & QA
Manual test plans, late-stage bugs
Team overhead
Separate vendors per layer
Typical cost
Baseline
Typical timeline
Baseline
Rivix AI-first, built in
Spec & architecture
AI-drafted, engineer-reviewed in days
Firmware & backend code
AI-generated scaffolding, human-verified
Testing & QA
Auto-generated test suites from day one
Team overhead
One accountable team, full stack
Typical cost
Estimated ~30–45% lower for comparable scope
Typical timeline
Estimated 4–6× faster to working prototype

Estimates based on our engineering process, not a formal third-party benchmark. Actuals vary by project — see Proof of Work for per-project figures.

How an engagement runs

From idea to shipped product.

DISCOVER

Scope & feasibility

We size the hardware, firmware, and software surface in one working session — no lengthy RFP cycle.

DESIGN

Architecture, AI-drafted

System architecture and specs are AI-drafted and engineer-reviewed, so design starts in days, not weeks.

BUILD

Parallel HW / FW / SW

Hardware, firmware, cloud and app tracks run in parallel under one team, staying in sync by design.

HARDEN

Test, certify, OTA-ready

Automated test generation and field-simulation catch issues before they reach hardware in your customer's hands.

SCALE

Fleet & iterate

Cloud fleet tooling and OTA pipelines are ready before device #1 ships, not bolted on after #1,000.

From the field

Engineering notes from the team building the product.

Straight from the people writing the firmware and shipping the boards — not marketing copy. See all Field Notes →

Let's build

Tell us what you're building — get a scoped plan back in days, not weeks.