AI-enabled product design is our use of AI tools inside the design process itself, to explore more directions and visualize them faster than traditional methods allow. We use it to generate, iterate on, and render concepts at a pace that lets us see ideas early and in greater numbers. More iterations in less time means more chances to find the right direction, and tighter feedback loops at the stage when changes are cheapest.

Human factors and usability is the discipline of designing products around the real bodies, abilities, and behaviors of the people who use them, and testing with real people throughout the process. We work with full-scale models in our own shop, through anthropometric analysis, grip and reach studies, and accessibility evaluations, alongside usability sessions, A/B preference testing, and observational studies in real-use environments. Decisions are made based on what people actually do, not on what the team assumes, and catching a problem in a foam model is much cheaper than catching it in a customer's hands.

Traditional qual trades scale for depth. Surveys give you scale but never ask why. We run structured conversations with 100 or more verified participants over text, using a virtual researcher that probes answers and surfaces tensions the way a skilled moderator would. Fielding completes in 24 to 48 hours. A Whipsaw strategist frames the question, writes the protocol, and facilitates the readout, because the decision you need to make and the question that unlocks it are rarely the same thing. You get the depth of a moderated conversation with a sample size that survives scrutiny.

Model-making and prototyping are the practices of building physical versions of a product at every stage of design to test form, function, and feel before committing to production. We build models in-house, from quick foam studies and 3D-printed concepts to high-fidelity appearance prototypes, using FDM, SLA, and SLS printing, CNC machining, and painted appearance models. A physical model settles debates faster than any slide, and it surfaces the problems that only show up once something becomes real.

Hardware interaction design is the design of how a product feels to operate, the click of a button, the swing of a lid, the way a light tells you what's happening. We design and prototype hardware interaction states, including buttons, switches, lights, dials, and haptic feedback, iterating hands-on until each one feels right. You can't fully judge this on a screen, so we build it, hold it, and tune it until the interaction feels intentional.

Robotics and autonomous system design is the design of machines that move, sense, and act on their own, and do it in a way that people can work alongside comfortably. We design the physical form, human factors, and interaction behavior of robotic and autonomous products. These machines have to perform, and they also have to be legible to the people around them, so we design how a robot signals intent and hands off control alongside the ergonomics, durability, and serviceability that decide whether it holds up in the real world.

Creative engineering is where engineering and manufacturing reality meet design ambition, turning a bold idea into something that can actually be built. We treat it as a creative discipline, not just a technical one, developing detailed 3D CAD surface models, defining component architecture and thermal strategy, and working shoulder-to-shoulder with mechanical and electrical engineering teams through DFM optimization and EVT/DVT review. For teams with a clear vision but no clear build path, we figure out how to make it and where it's worth pushing the boundary of what's possible.

Design refinement is the phase where a chosen direction is sharpened into a fully resolved product, detail by detail. Once a concept is selected, we perfect the form and surfacing, lock the scale and placement of branding elements, and resolve the small decisions that separate a rough idea from a finished product. Renderings and CAD get updated to reflect every change.

Color, materials, and finish design is the work of specifying how a product looks and feels to the touch, documented precisely enough for manufacturing. We explore and specify everything from soft-touch coatings and anodized metals to textured polymers and sustainable bio-materials. Our CMF specs include material callouts, texture references, Pantone and RAL standards, and finish tolerances, so the intent survives the trip to the factory floor. Sustainability factors in here too: we help clients choose recycled and bio-based materials and design for disassembly and recyclability, weaving those decisions in early rather than bolting them on at the end.

Design for manufacturing is the work of turning an approved concept into a production-ready product that's engineered for performance, cost, and scale. Our DFMA work includes part consolidation, wall-thickness analysis, snap-fit and fastener strategy, tolerance stack-up review, and material selection matched to the appropriate process. We also define manufacturing strategy and find cost savings, all while protecting design intent and reliability. We've contributed to more than 700 patents across our portfolio.

Packaging is the first physical touchpoint with your customer. We design from the inside out — structural exploration, unboxing experience mapping, brand integration, graphic design, and materials specification. Our work includes 3D modeling, physical prototyping, dieline development, sustainability analysis, and vendor coordination through production.

Manufacturing partnerships is the work of finding and vetting the right manufacturers and specialty vendors to build a product at the quality, volusme, and geography it needs. We help clients identify and evaluate contract manufacturers, OEMs, and specialty vendors, basing recommendations on capability fit, quality track record, volume alignment, and geography. We stay involved through implementation, so design intent carries all the way through DFM, DVT, and PVT.