The next evolution of haircare isn’t a new product.
It is an intelligent ecosystem.
Professional salons run on craft, repetition, and physical strain. Stylists hold their arms above their shoulders for six hours at a time. Clients with textured, coily, or non-standardized hair are routinely under-served by tools and AI trained on European hair textures. Salon owners manage twelve software systems and zero of them talk to each other.
HairChair is a robotic mechatronics platform engineered as one integrated salon workstation — chassis, embedded 7-DOF arm, hot-swappable end-effectors, spatially-indexed scalp analysis, and a role-based software layer built for the entire salon team.
We are not adding a feature to the chair. We are redefining what the chair is.
Each layer ships with the chair. Each layer also stands alone as a separate commercial surface.
A purpose-built salon chair with an embedded 7-DOF cobotic arm, omnidirectional mecanum drive, and a Universal Hot-Swappable Interface for interchangeable end-effectors — Smart Comb, product dispenser, hair-tool gripper, braiding cell.
A role-based platform spanning Wellness AI, Client, Stylist, Salon Owner, and Dev/Admin. Fleet telemetry, block-programming for custom procedures, embedded social layer for the salon community, and an RAG engine tuned on professional cosmetology literature.
A spatially-indexed topographical model of scalp characteristics — porosity, hydration awareness, follicular density estimation — rendered as color-coded zones that guide product application and styling toolpaths. Built explicitly to honor textured-hair morphology.
Working software, recorded as it runs. Captioned walkthroughs forthcoming.
A working salon is chaotic, high-motion, multi-actor, and physically intimate. Most cobotics frameworks fail here on day one. We build for it directly.
HairChair is in build phase. The engineering is sequenced for institutional review, not founder hype.
Internal validation complete across requirement, simulation, and design artifacts. Accredited third-party testing scheduled for the funded development phase. Certification roadmap documented and available on request.
Fifteen weeks. Seven phases. A working physical prototype with a real-world demo at the end. Updated as gates clear.
Provisioning Lambda Labs RTX 6000 for Isaac Sim. Importing the arm URDF and converting to USD. Bringing up the ROS 2 ↔ Isaac Sim bridge so joint trajectories command the simulated arm. Building the salon environment in OpenUSD via Python.
Regulatory extractions complete — wellness positioning locked under the FDA’s January 6, 2026 General Wellness guidance. Four requirement documents drafted. CWRU IP correspondence sent. ROS 2 + SROS2 environment online with a keystore for every node enclave. Claude Code workflow and the five HairChair custom skills installed.
Three weeks inside NVIDIA Isaac Sim. Week 1: arm URDF imported, salon environment built in OpenUSD, ROS 2 ⇄ Isaac Sim bridge live. Week 2: OmniHair 4C physics tuned on a mannequin head, parameter-control Kit extension, Hair Preset Library begun (4C, 4B, 4A, 3C). Week 3: Smart Comb USD attached to arm TCP, hair-selection and comb-interaction Kit extensions, first force-logged comb passes.
All three Biometric Reflex Protocol layers running in simulation. Reinforcement-learning reward function for force-respecting motion. Hair Preset Library covering full curl-type spectrum (1A through 4C).
Diagnostic pipeline publishing real-time scalp data from physical sensors. Browser-rendered Weather Map. Supabase + RAG engine rebuilt on clean architecture. Role-based authentication and dashboard scaffolding.
Smart Comb integrated PCB and Power Distribution PCB designed in KiCad, manufactured via JLCPCB. FreeCAD parametric mechanical parts. All designs pass /ultra-review gate before order.
Hardware fabrication. PCBs assembled and bench-tested. Smart Comb end-effector attached to arm via Universal Interface. First closed-loop motion controlled by ROS 2 on the Jetson.
Mannequin testing. Stylist interviews. Recorded end-to-end demo. SBIR Phase I draft. Phase 1 MVP ready for institutional capital and accelerator placement.
“I am not building a product. I am building infrastructure for a craft I love — and for the practitioners and clients the existing industry quietly leaves behind.”
Eva-Jessy Guech is the sole inventor on the HairChair patent and the solo founder leading every layer of the build — mechanical, electrical, embedded, simulation, software, and regulatory. Master’s candidate in Computer Science at Case Western Reserve University, concentration in AI with a focus on human-robot and human-computer interaction. Her thesis is derived from HairChair research.
We are currently focused on the build. We do reply to thoughtful notes from investors, mission-aligned operators, salon professionals, and engineers who’d like to follow what we’re building.
or write directly — ej@hairchairos.com