services
one product. your configuration.
Every system we build uses the same private AI architecture. What changes is the data you connect and the problems you need solved. Built by Siam AI Lab in Bangkok, deployed on hardware you control.
individuals
personal AI: health, productivity, everything.
The most common starting point is health. You have a wearable, years of bloodwork PDFs sitting in email, maybe a food log you abandoned, maybe a medication schedule you track in your head. The system connects all of it. It ingests lab results when your clinic emails them, tracks sleep and activity from your watch, logs what you eat through a message, and gives you a morning briefing that pulls it all together. But health is rarely where it stays. The same system that tracks your bloodwork also triages your email, manages your calendar, drafts replies in your voice, tracks a real estate search, and reminds you that your passport expires in three months. It grows because the architecture allows it: every capability runs through OpenClaw, and adding a new one means connecting another data source, not buying another subscription.
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.
legal and professional
firms and consultants with years of documents.
A mid-size law firm has twenty years of contracts in a shared drive that nobody searches because it takes too long. The system indexes the archive and makes it searchable in plain language. "Find all non-compete clauses from supplier contracts signed in 2023" returns results in seconds instead of hours of associate time. From there, the system adds deadline extraction from active contracts, renewal tracking, pre-meeting briefs assembled from relevant case history, and client intake that routes documents to the right team without someone reading and forwarding every email. The data stays on the firm's server. No client documents pass through external APIs. For consulting firms, the same architecture powers research automation, report drafting, and knowledge management across engagements. The specifics change. The underlying system does not.
healthcare
clinics and practices with sensitive patient data.
Patient intake is where the system earns its keep fastest. A dental practice processes the same insurance forms, medical histories, and consent documents dozens of times a day. The system reads incoming documents, extracts the relevant fields, flags inconsistencies, and routes completed packages to the practitioner. The front desk stops re-entering information into three different systems. For clinics, add appointment optimization, follow-up automation, treatment plan tracking, and clinical note assistance. The privacy architecture matters here more than anywhere: patient records stay on the practice's hardware. There is no intermediary processor, no third-party cloud, no gray area about where patient data went. The system runs on OpenClaw, and every action is logged, every data access is traceable, and the practice owns the complete audit trail.
operations
businesses that run on coordination.
A construction company tracks permits across multiple active projects, coordinates subcontractors who communicate through four different channels, and manages procurement timelines that slip when someone misses an email. The system pulls all of that into one surface: permit status from uploaded documents, subcontractor updates from email and messaging, procurement deadlines from contracts, and daily progress reports assembled from notes and photos sent throughout the day. Restaurants and hotels deal with a different version of the same problem: reservations, staff scheduling, inventory, supplier ordering, and review monitoring across platforms that never share data. Real estate agencies get listing management, market monitoring, client matching based on actual search history, and transaction coordination that keeps documents and deadlines visible to everyone involved. Same system, different configuration.
every deployment
the shared foundation.
Every system ships with the same layer: private AI models on your hardware, encrypted storage with audit logging, OpenClaw orchestration for scheduled automation and multi-channel messaging, data ingestion from email, messaging, file sync, and webhooks. You interact through Telegram, Signal, email, or whichever channels you already use. The system is designed to be legible. You can read the configuration. You can audit the logs. Documentation and handover mean you or your team can understand exactly what is running. And if you stop using it, you unplug the hardware and everything is still yours.
Deployment, privacy architecture, and the engagement model in plain language.
start with the bottleneck.
The consultation is free, in person in Bangkok or remote. Bring the workflow that costs you the most time or the data problem you have not been able to solve. We will tell you honestly whether this is the right approach.