We help with the engineering work between prototype, connected product, and factory.
We leverage AI with human engineering judgment where it speeds research, coding, testing, sourcing, and evidence.
Some work is critical, but it should not always consume your core engineering team: device bring-up, firmware infrastructure, cloud connectivity, sensor calibration, part verification, test fixtures, and factory readiness.
We help own those pieces so your team can keep building the product. Start with one stage. Expand only if it keeps saving your team time.
Work with us on one piece or the full path. Each lab is focused, but they connect because real products do.
Apache 2.0 open-source firmware foundation, cloud connectivity, device workflows, and paid studio tooling for teams building real hardware.
Sensor calibration, validation, compliance support, and evidence workflows for products where measurement quality matters.
Engineer-led sourcing, supplier comparison, sample review, bench testing, and qualification support for hardware and electromechanical parts.
Contract manufacturer search, production readiness review, test fixture planning, end-of-line testing, and line bring-up support.
You do not have to hand us the whole product. Start with one stage. Expand only if it keeps saving your team time. Behind the work, our internal agentic applications reduce search, code, documentation, and test time.
Embedded firmware, cloud connectivity, IoT infrastructure, device workflows, and the engineering needed to move from prototype to connected product.
Sensor calibration, part verification, bench testing, quality checks, and evidence packages your team can review, repeat, and trust.
Supplier search, part comparison, vendor follow-up, sample coordination, and practical checks before your engineers spend cycles chasing parts.
Contract manufacturer search, production readiness, DFM/DFT review, line support, test fixture planning, and EOL test development.
Ritesh Anand, Founder. Two decades building embedded, IoT, and connected products from MCU firmware to manufacturing line. The work behind Ritzylab comes from seeing the same product bottlenecks repeat across real hardware, real teams, and real launches.
The team spans the USA, India, Ukraine, Poland, Bulgaria, and Thailand, with engineers across embedded systems, AI/ML, cloud infrastructure, robotics, hardware design, sourcing, testing, and manufacturing support.
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 took our concept from whiteboard to prototype in record time. Their team felt like an extension of ours."
"We needed a partner who could handle both hardware and AI. Ritzy Lab delivered on both fronts, on budget and on time."
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.
How AI changed the way I write — discussion partner, not ghostwriter. The labeling framework that runs at the bottom of every post.
Quality is a property of the architecture, not a checklist at the end. Why code review and increased test coverage are structural denial.
The full blog: architecture, debugging, the AI/firmware bridge, the labeling framework, what we've shipped and what's next.
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.