AI-native engineering studio

We ship hardware-to-cloud products at the speed of a prompt.

TRIVOLT builds embedded systems, firmware, cloud backends and mobile apps with an AI-first engineering process — cutting time-to-market to a fraction of what legacy shops quote, without cutting corners on reliability.

4–6×Faster to prototype
~40%Lower build cost
1Team, full stack: HW→App
MCU SNSPWRI/O RFBLEUSB
LIVE BUILD TRACEtrivolt.sys
Hardware / PCB[HW]
Firmware / RTOS[FW]
Cloud / Device Fleet[CLOUD]
Mobile / Web App[APP]
AI Copilot orchestrating every layer[AI]
What we build

One team, the full stack of a connected product.

Most agencies hand you off between three vendors — a hardware house, a firmware contractor, a cloud team. We keep it under one roof, one codebase philosophy, one AI-assisted pipeline.

[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.

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

Firmware

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

  • Bare-metal & RTOS firmware
  • BLE / Wi-Fi / LoRa / cellular
  • OTA update pipelines
  • Power & performance tuning
[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
[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
[AI]

AI & Intelligence Layer

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
[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
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.

StageLegacy services companyTRIVOLT
Spec & architectureWeeks of manual documentsAI-drafted, engineer-reviewed in days
Firmware & backend codeHand-written line by lineAI-generated scaffolding, human-verified
Testing & QAManual test plans, late-stage bugsAuto-generated test suites from day one
Team overheadSeparate vendors per layerOne accountable team, full stack
Typical costBaseline~30–45% lower for comparable scope
Typical timelineBaseline4–6× faster to working prototype
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.

Let's build

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