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

// first principles

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."

// the work

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)

// how we engage

Three ways to work with us.

Each one is a different entry point to the same outcome: sensor pipelines and firmware infrastructure that are trustworthy, visible, and documented.

OPTION A — GREENFIELD

Building something new from the ground up

We architect the right infrastructure from day one — EmbedIQ for the full embedded stack (MCU firmware, Linux gateway, edge AI), SensorPipe for the perception quality layer. The architecture is designed so it doesn't need to be retrofitted when the product scales or the compliance requirement arrives.

Typical engagement: a few months. Architecture + implementation + handoff.

OPTION B — BROWNFIELD

Already deployed. Something's wrong.

Most teams have already spent weeks ruling out the algorithm, the model, the software stack. What they haven't ruled out is sensor health, calibration drift, and timestamp misalignment — because there's no tooling to do it. We deliver findings in weeks. No code changes on your side.

We deliver findings in weeks. If the problem is there, we'll find it.

OPTION C — COMPLIANCE

Facing a SOTIF audit. OEM review.

We produce structured calibration evidence packages with tamper-evident .sptrace audit trails, typed calibration schemas with algorithm version, git commit, and confidence scores — all mapped to the specific standard clauses you need to satisfy. Machine-generated from actual calibration runs.

The difference matters when an auditor asks for proof.

// the team

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.