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Twenty++ years of shipping products end to end.

Firmware to cloud. Embedded to edge. IoT to robotics. Idea to manufacturing. Across industries. On real hardware.

Startups taught us what breaks.
Factories taught us what scales.
AI taught us leverage.

Across those products, the same two gaps kept showing up — every team rebuilds firmware infrastructure from scratch, and every team runs calibration as a black box. So we built the layers. And we designed them so humans and AI agents work the same way: intent in, result out.

See what we've built Work with us

Most problems are structural, not situational.

Every firmware team rebuilds OTA, watchdog, and state management from scratch. Every calibration pipeline runs as a black box with no audit trail. Different companies, different stacks — same missing layers.

We don't patch symptoms. We build the layer that makes the class of problem impossible. Do it once. Open-source the format. Move on.

"AI-first is a consequence of the architecture, not a marketing claim."

Two infrastructure layers. Both from shipping products.

Both the direct result of building products and seeing the same gaps too many times.

EMBEDIQ

The AI-first application framework

The AI-first application framework above the RTOS — from MCU firmware through Linux gateways to edge AI devices. A single architectural pattern that runs the same way on a FreeRTOS microcontroller and a Linux edge device. Every state transition, message, and fault captured automatically in a tamper-evident binary trace. Zero instrumentation code. Zero printf.

Apache 2.0 · MCU firmware + Linux gateway + edge AI
RTOS-agnostic · FreeRTOS · Zephyr · POSIX · bare-metal
14-byte event record, _Static_assert enforced
Open .iqtrace format
Read the architecture → embediq.com
SENSORPIPE

Sensor pipeline quality assurance

Sensor pipeline health, calibration orchestration, verification, compliance evidence. The infrastructure that makes multi-sensor perception trustworthy and auditable. Orchestrates external calibration algorithms, validates results against quality gates, and captures the full evidence trail automatically.

Commercial software · Open .sptrace format spec
Open sensorpipe trace CLI (Apache 2.0)
SOTIF · ISO 26262 · EU AI Act · UNECE R155
Read the spec → sensorpipe.com
Hardware (silicon, motors, actuators)
EMBEDIQ — MCU firmware, Linux gateway, edge AI, .iqtrace
Sensors (camera, LiDAR, IMU, radar, GPS)
SENSORPIPE — health, calibration, verification, .sptrace
Perception algorithms (detection, SLAM, navigation)

Four ways to work with us.

Pick the entry point that matches your situation. The outcome is the same: engineering you can trust, evidence you can audit, a team that stays until it ships.

OPTION A — GREENFIELD

Building something new from the ground up.

You have an idea, maybe specs, maybe a team. You need architecture and engineering you can trust before the first board ships. We design from first principles, build it, and stay until it scales. We bring our own tooling when it fits — otherwise we use yours.

Typical engagement: a few months. Architecture, implementation, handoff.
OPTION B — BROWNFIELD

Already shipped. Something's wrong.

Field failures, drift, performance gaps you can't isolate. You've ruled out the algorithm, the model, the software stack. We diagnose what no one else has tools to diagnose, then fix it. Findings in weeks. No rip-and-replace.

Findings in weeks. If the problem is there, we'll find it.
OPTION C — COMPLIANCE

An audit, a review, a standard you have to satisfy.

SOTIF, ISO 26262, EU AI Act, OEM review — you face external pressure to prove the system works the way you say it does. We produce the evidence package the auditor actually needs: tamper-evident, machine-generated, mapped to the clauses. We've sat on both sides of that table.

The difference matters when the auditor asks for proof.
OPTION D — ADVISORY

Senior engineering on call.

You have a team but you need a senior brain. Architecture review, fractional CTO, a hiring sounding board, a structured second opinion before you commit a quarter to a direction. Hourly or retainer. Strictly bounded — no scope creep.

Hourly or monthly retainer. Scoped per engagement.

Engineers who shipped products before building tools.

Ritesh Anand, Founder. Two decades shipping embedded and IoT products — MCU to manufacturing line. Broke enough things to know what keeps breaking. Stopped rebuilding the same layers. Built EmbedIQ and SensorPipe instead. Then built the team to ship them.

21 brilliant minds (and growing!) from the USA, India, Ukraine, Poland, Bulgaria, and Thailand. A diverse crew of engineers and innovators, spanning embedded systems, AI/ML, cloud infrastructure, robotics, and hardware design. We bring together fresh thinking and serious engineering depth across every layer of the stack.

We find the best talent wherever they are. Primarily based in Fremont, CA and Bengaluru, India — with engineers across the US, Europe, and Asia. Architecture-first, test-driven, no shortcuts.

Ritzy Lab Team

Companies we've worked with.

From the teams we've worked with.

"Ritzy Lab took our concept from whiteboard to prototype in record time. Their team felt like an extension of ours."

— Client, Consumer Electronics

"We needed a partner who could handle both hardware and AI. Ritzy Lab delivered on both fronts, on budget and on time."

— Client, Industrial IoT

From the blog.

We write about what we've shipped, what we've broken, and what we've learned in the process. The blog is how the work shows itself before anyone signs an engagement letter.

Let's talk.

Tell us what you're building, what's breaking, and where the infrastructure gaps are. If we're the right team for it, we'll tell you. If we're not, we'll tell you that too.

[email protected] Book 30 min