Wellness & Spa Software

Personalised care, powered by AI. Managed by your software.

Wellness platforms handle sensitive, personal data. Sidenet helps you build AI assistants that respect privacy while delivering deeply personalised experiences — all inside your product.

Personalisation takes time your practitioners don't have.

Every client expects a personalised plan. But practitioners are juggling intake forms, scheduling, stock checks, and admin — all before they start the actual care. Wellness software platforms have the data to automate all of this. The AI layer is what's missing.

Personalised wellness, at scale.

Sidenet's AI assistants sit inside your wellness platform and handle the time-consuming work — personalised plans, inventory forecasting, and scheduling — so practitioners can focus on care.

Wellness Platform — Client Sessions
Dashboard
Clients
Schedule
Inventory
Plans
Today's Sessions8 booked
M
M. Thompson
Deep Tissue · 90min
Room 3
K
K. Lee
Recovery Plan · Week 2
Room 1
J
J. Patel
Aqua Therapy · 30min
Pool
Sidenet
Create a 4-week recovery plan for a post-knee surgery client.
Week 1-2: Gentle ROM exercises, aqua therapy. Week 3-4: Resistance bands, balance work. No deep squats.
via Wellness Agent
Routing
Orchestrator
Wellness
Supply
Schedule

AI assistants built for wellness operations.

Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.

Private Wellness Assistant

Generates personalised wellness plans from intake data for trainers, therapists, and practitioners.

Sidenet Assistant
Create a 4-week post-surgery recovery plan for a 45-year-old client with limited mobility in their right knee.
4-week recovery plan for client (post-knee surgery, limited mobility): Week 1-2: Foundation • Gentle range-of-motion exercises (seated quad lifts, ankle circles) — 3x/week, 20 min • Aqua therapy if pool available — 2x/week, 30 min • Ice post-session, elevation for 15 min Week 3-4: Progressive loading • Resistance band exercises (knee extensions, leg press) — 3x/week, 30 min • Balance work (single-leg stance with support) — daily, 5 min • Stationary bike (low resistance) — 2x/week, 15 min Contraindications noted: No deep squats, no high-impact activity, no unsupported single-leg loading until cleared. Export as PDF for the client, or edit first?
Value

Practitioners deliver personalised plans in minutes, not hours. Clients feel the plan was built for them — because it was.

Supply & Inventory Assistant

Forecasts product needs and flags shortages before they disrupt operations.

Sidenet Assistant
Are we going to run out of massage oil before the end of the month based on current booking pace?
Massage oil forecast: • Current stock: 4.2 litres • Avg usage per massage session: 35ml • Remaining massages booked this month: 89 • Projected usage: 3.1 litres You'll have ~1.1 litres remaining — cutting it close if walk-ins pick up. Recommend reordering 5 litres by March 25. Your supplier (Botanica) has 2-day delivery. Place the order?
Value

No more mid-week supply runs. Consistent service quality. The software handles inventory forecasting so the team doesn't have to.

Scheduling Agent

Manages bookings, practitioner availability, and room assignments.

Sidenet Assistant
Book Sarah for a 90-minute deep tissue with Marcus next Thursday afternoon, and make sure room 3 is free.
Checking availability... • Marcus: Available Thursday 2:00-3:30pm and 4:00-5:30pm • Room 3: Free all Thursday afternoon Booked: Sarah → 90-min deep tissue with Marcus, Thursday 2:00-3:30pm, Room 3. Confirmation sent to Sarah's email. Marcus's schedule updated.
Value

Front desk efficiency. Fewer scheduling conflicts. Better utilisation of practitioners and rooms.

Go live in your wellness platform in days.

1

Embed the chat

Embed the Sidenet chat in your wellness software with a single line of code.

2

Configure your agents

Configure wellness planning, inventory, and scheduling agents in Studio. Connect to your booking system, client database, and supplier data.

3

Ship & monitor

Test internally, then ship to your wellness customers with full observability.

Your wellness platform should feel as personalised as the care it supports.