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 Clinical 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.
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.
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 FDA 2019 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.
founder@hairchairos.com →