services
one product. your configuration.
A private AI system built on your hardware and connected to your data. What changes between clients is the configuration, not the architecture.
individuals
health data, productivity, and everything between.
Health is where most people start. Lab results sitting in email, sleep data on a watch, a nutrition log that never lasted. The system connects all of it into one private AI that tracks trends, messages you with daily briefings, and flags when something needs attention.
It usually expands from there. The same system triages email, manages calendar, tracks a Tokyo apartment search, reminds you about an expiring passport. Adding a capability means connecting a data source, not signing up for another subscription.
Most of our individual clients are in Bangkok. Their systems run on a Mac Mini at home, syncing health data from an Apple Watch, ingesting lab results from local clinics, and planning meals from what is in the fridge.
How the system tracks bloodwork, sleep, nutrition, and medications across years of data.
How email classification, sender rules, and draft assistance work without cloud APIs.
businesses
firms, clinics, and teams with scattered data.
A Bangkok law firm has twenty years of contracts on a shared drive nobody searches. The private AI system indexes the archive and makes it queryable in plain language. "Find all non-compete clauses from supplier contracts signed in 2023" returns results in seconds from 140,000 documents on the firm's own server.
A dental practice processes the same insurance forms and medical histories dozens of times a day. The system reads them, extracts the fields, flags inconsistencies, and routes completed packages to the practitioner.
A construction company tracks permits across multiple sites and coordinates subcontractors through four channels. The system pulls permit status from scanned documents, subcontractor updates from email and messaging, and deadlines from contracts into one surface.
These are different data sources plugged into the same architecture. The private AI layer, built on OpenClaw, handles orchestration.
every deployment
what ships with every system.
Private AI models running on your hardware, encrypted storage with audit logging, and data ingestion from email, messaging, and webhooks. You interact through the tools you already use: Telegram, Signal, email, whatever your team is on.
No cloud APIs touch your data unless you explicitly choose that for a specific task. Most clients never need it.
The system is legible. You can read the configuration, audit the logs, and trace every action. Cancel any time, unplug the hardware, and everything is still yours.
Deployment, privacy architecture, and the engagement model.
start with the bottleneck.
Free consultation, in person in Bangkok or remote. Bring the workflow that costs you the most time.