You've got an excellent product idea. Let's transform it into a product known for quality, reliability, and manufacturability.
From design reviews and DFMEAs to PPAPs, security assessments, and manufacturing readiness, we combine engineering expertise with AI-assisted workflows to help your team make better engineering decisions—faster.
Give time back to your engineers. Deliver greater value to your investors. Build products your customers love.
Contact Us Explore Capability DemonstrationsIndependent engineering scrutiny — accelerated by AI, built on your product knowledge.
Independent reviews of mechanical, electrical, embedded software, and system designs.
Create, improve, and independently review DFMEAs using AI-assisted engineering workflows.
Develop verification and validation strategies, test plans, and requirements traceability.
Review production approval packages, first article inspections, and supporting quality documentation.
DFM, DFA, tolerance analysis, assembly, tooling, and production readiness.
Printability, material selection, build orientation, supports, and post-processing — assessed before the first layer prints.
Design, materials, wear and shot-life assessment with a clear go/no-go and cost-per-trip verdict, cited to SPI and tooling standards.
Architecture, block diagrams, BOMs (system/cable) and cable design, power budgets and battery sizing, with PCBA/schematic and DFM/DFA reviews based on datasheets and IPC standards.
Verifying the board support package maps the real hardware: SoC/machine and U-Boot checks, device-tree audit vs schematic, and driver coverage per peripheral, with a fix-list and corrected device tree.
Security architecture, threat modeling, SBOM, and secure product development.
Improve requirements quality, system architecture, and engineering traceability.
Build a product-specific engineering knowledge corpus that enables dependable AI-assisted engineering throughout the product lifecycle.
Worked examples of our review methods applied end-to-end to real designs.
3D printing readiness assessment of a complete quadcopter airframe — printability, material choice, build orientation, and print risk evaluated part by part.
Full Report →
How a single product idea is developed, stage by stage, into a complete Design History File — every requirement, design choice, risk, and verification tied into one golden thread.
Full Report and DHF →
Injection-molding tooling readiness assessment of a plate mold — parting line, mold halves, hole features, and fastener strategy reviewed for production.
Full Report →
Design-for-manufacturability & -assembly review of an open-hardware Linux laptop motherboard (NXP T2080) — from reading the design files and building the BOMs and power budget through to defensible DFM and DFA verdicts.
Full Report and DFM + DFA →
Independent engineering review of an open-hardware RINA IoT sensor node — systems understanding, discipline reviews and a two-variant system FMEA. Proven as research, scoped for production.
Full Report and FMEA →
Verification & validation plan for Bitwarden, an open-source password manager that keeps passwords and other sensitive data in an encrypted vault — one master password instead of dozens.
Overview & Test Plan →I'm Sajith Padmaja. I founded Product Engineer LLC after nearly three decades of building hardware / IoT products people depend on every day. I've led product teams across Medical Devices, Transportation & Logistics, Retail, Entertainment, Automotive, Data Center & Networking, and Industrial systems — and I've seen the same truth in every domain: products succeed or fail on the engineering decisions nobody had time to review.
That's the problem I set out to solve.
Blending my machine learning and AI background with a career spent making products, I built a proprietary AI engineering playbook to provide independent engineering reviews that catch expensive problems while they're still cheap to fix.
Every product stands on a mountain of knowledge — the standards, the textbooks, the datasheets, the design history, and the tribal know-how that lives in hallway conversations and veterans' notebooks. Most of it never makes it into the engineering decisions that matter. My vision is to change that: structure all of it into a knowledge foundation the whole team can build on, so every decision draws on everything the product already knows. Not AI instead of engineers — AI that puts the entire body of knowledge at every engineer's fingertips, in service of one goal: quality products.
Bring me your design — let's find out what it's ready for.
Share what you're building, where you're getting stuck, or what you'd like independently reviewed.
A few details are enough to begin.
I’ll personally respond within one business day.
