Private AI.
Your custody.
U.S. standards.
APAC execution.
Presence
Dallas
Bangkok
ModelForward‑deployed engineers
Maps toPDPA · MAS · NIST 800‑171/172
Skylance brings U.S. engineering standards and defense-grade discipline to design and deploy private AI systems for organizations across Southeast Asia.
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Skylance brings We let you use AI on sensitive data while keeping full custody, auditability, and ownership — under both local PDP/A rules and higher U.S. standards.
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Who this is for
- Finance & banking
- Healthcare & life sciences
- Advanced manufacturing
- Critical infrastructure
- Sovereign & government
- Defense & aerospace supply chains
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Our approach
- Apply U.S.-grade engineering and cybersecurity discipline
- Pair it with on-the-ground expertise in Thailand PDPA, Singapore MAS, and other APAC regimes
- Design secure, auditable AI systems that stay inside your control
- Prioritize data custody and architecture before any models or agents are built
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What you get
- AI that accelerates operations without surrendering custody or control over sensitive data.
- Systems that meet higher U.S. standards (NIST 800-171/172 where relevant) while staying compliant with Thailand PDPA, Singapore rules, and other local regimes.
- Full ownership and auditability you can defend to local regulators, international partners, and your own CISO.
Only a few world powers can build AI at industrial scale.
We are forged from the American side, shaped by defense and regulated environments where failure carries serious consequences.
Most AI deployments in the region prioritize speed over custody, auditability, and cross-border compliance — leaving trade secrets and regulatory exposure on the table.
We apply U.S.-grade engineering and cybersecurity discipline — the same standards that satisfy defense and regulated environments — then execute locally from Bangkok. You get fast, data-secure AI that accelerates business goals, without sacrificing control or failing local compliance.
Everyone’s already using it. Almost no one’s governing it.
Figures from third‑party research, 2025–2026. Sources cited per stat.
U.S. Engineering Standards
Security and custody come first — then models, then applications. We bring the higher bar of U.S. engineering and defense-grade discipline so APAC organizations can run serious AI on sensitive data without creating permanent regulatory or competitive problems.
❯deploy secure-stack --perimeter bkk-01
✓hardwareair-gapped · attested
✓data14,208 records · custody intact
✓modelssigned · zero external calls
✓securityaudit trail live · continuous
Detecting jurisdiction…
✓Compliant as of
❯
⠋critical infrastructureprotected
⠋hospitals & life sciencesprotected
⠋financial servicesprotected
⠋defense & aerospaceprotected
✓critical data protected
✓application front-end UI ready for use
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AI-optimized hardware
Servers, storage, and networking built for on-prem or air-gapped deployment.
ServersStorageNetworkingAir-gap ready -
Data pipelines & labeling
Governed ingestion, versioning, and labeling that keeps records in your custody.
IngestionVersioningLabelingLineage -
AI models & systems
Inference that runs inside your perimeter with signed artifacts and no external APIs.
InferenceSigned artifactsEval logsIn-perimeter -
Security & cybersecurity
Boundary controls, key custody, and logging that stand up to audit.
Boundary controlsKey custodyLoggingGuardrails -
AI applications
Production software that applies model outputs while everything stays inside the boundary.
Scoped agentsWorkflowsAudit trailsOwned post-launch
*Engineered to map to the frameworks your reviewers already use. Not an exhaustive list.
The scope, named plainly.
Delivered from Dallas and Bangkok, scoped to whichever side of the Pacific your risk actually sits on.
AI Governance & Framework Mapping
We map controls so your systems satisfy both higher U.S. standards (NIST 800-171/172 where relevant) and the local PDPA, MAS, or BOT rules that actually govern your operations in Southeast Asia.
Adversarial Testing & Assessments
We attack your models the way a real adversary would, score what breaks against the OWASP LLM Top 10, and rank every fix by blast radius.
Secure AI Architecture & Deployment
Custody, boundaries, and controls designed in from the first diagram, not bolted on after something already shipped.
Data Custody & Residency Controls
Your sensitive data stays inside a perimeter you control, in the jurisdiction it is legally required to sit in.
Privacy‑Preserving AI
Models learn from regulated data without ever exposing the records underneath it.
AI Threat Detection & Monitoring
Live watch for prompt injection, model abuse, and quiet data exfiltration, with a way to contain each one before it spreads.
Cross‑Border Compliance, US & APAC
One system that answers to home‑country defense standards (NIST-aligned where relevant) and to local PDPA, MAS, and BOT rules at the same time.
AI Governance Training & Enablement
We leave your engineers and data teams able to run and defend the system after we walk out.
The Penalties for Sloppy AI
Every shortcut posts to the same ledger — in financial, reputational, and legal terms.
Financial
- Your secrets train the competitor’s model.
- You lose the contracts that actually matter.
- The cleanup costs ten times the shortcut.
- Capex gets stranded when the rollout gets blocked.
- Your competitive edge evaporates into someone else’s model.
- Next funding round dies in diligence over data risk.
Reputational
- Client data surfaces where it shouldn’t. Relationship over.
- You’re the one who can’t keep secrets.
- Real partners and talent stop returning calls.
- Government clients quietly drop you after the exposure.
- Your name turns toxic in every regulated room.
- Talent exodus accelerates once word spreads.
Legal
- Thailand PDPA fines you and blocks data flows.
- Singapore MAS kills banking AI approvals.
- Indonesia PDP Law opens criminal cases.
- Vietnam cyber law forces shutdown or on-prem only.
- Leaks void ASEAN contracts and US clearances.
- Directors personally liable across regimes.
Engineered to map. Not improvised.
Compliance frameworks
- CMMC L2 — U.S. DoD (relevant for U.S. defense supply chains)
- NIST 800‑171 / 172 (U.S. federal controls)
- HIPAA — Healthcare
- PDPA — Thailand
- Cybersecurity Act — Thailand
- Bank of Thailand (BOT) Guidelines
PDPA — Singapore- MAS Guidelines — Singapore
PDP Law — Indonesia
PDPA 2010 — Malaysia
Cybersecurity Law + PDP Decree — Vietnam
Data Privacy Act — Philippines- ASEAN Model Contractual Clauses — Regional
Trade secrets exposure
- Trade Secrets Act — Thailand
Unfair Competition Act — Korea
Unfair Competition Prevention — Japan- IP Code (R.A. 8293) — Philippines
Common Law + Contract — Australia- Computer Misuse Act — Singapore
AI attack surface
- Training on proprietary data without governance
- RAG over internal documents
- Unredacted logging of sensitive prompts
- Model output poisoning & memorization
- Multi‑tenant & shared inference environments
- Vendor and staff access to model internals
- Prompt injection & jailbreaking
- Insecure vector database design
- Over‑privileged AI agents
- Lack of output filtering & guardrails
- Weak authentication on AI endpoints
- Third‑party AI tooling, plugins & supply chain
- Silent & non‑breach data leakage
- Unauthorized access & data exfiltration
- Direct trade secret leakage via AI outputs
- Cross‑contamination of sensitive data
The real cost
- Injunctions blocking system use
- Deals delayed or lost
- Competitive advantage leaked
- Executive liability
- Reputational damage
- Regulatory scrutiny + remediation cost
- Audit failure
- Cross‑customer data leakage
- Long‑term exposure risk
*Engineered to map to the frameworks your reviewers already use. Not an exhaustive list.
From baseline to sustained control.
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Baseline
We map your real AI footprint, including the shadow AI most teams can’t see, against custody and compliance risk.
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Plan
We rank exposure by what actually threatens contracts, audits, and trade secrets, then hand you a sequenced plan you can act on.
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Build
Policies, roles, and technical controls engineered to higher U.S. standards (NIST 800-171/172-aligned where relevant) while satisfying Thailand PDPA, Singapore MAS/BOT, and other local requirements wherever you operate.
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Sustain
We watch how your AI behaves in production and adjust controls as models, threats, and regulations change.
*Engineered to map to the frameworks your reviewers already use. Not an exhaustive list.
Vet us the way you’d vet anyone else.
Employees using whatever AI tools are free and fast — often on the same machines handling sensitive client or operational data — without IT or security approval. In APAC it matters fast: by the time it shows up in a PDPA audit, a MAS review, or a leaked contract, the exposure is already permanent.
A policy document and a working architecture are different things. We build the custody, residency controls, logging, and access boundaries a real policy assumes already exist — then test whether what you have actually holds up in front of a Thai PDPA auditor, a Singapore MAS reviewer, or an international partner’s CISO.
They force you to keep sensitive data inside the right jurisdiction, limit what leaves the country, and require demonstrable controls. Most public AI tools and foreign clouds break these rules by design. We design the full stack — hardware to applications — so the data never has to leave the perimeter you control.
Defense-grade rigor and cybersecurity discipline that local regulators respect and international partners demand. We apply control objectives and rigor drawn from NIST 800-171/172 (and CMMC L2 where U.S. partner or supply chain requirements apply), while satisfying Thailand PDPA, Singapore PDPA/MAS, and other ASEAN regimes. You get systems that pass stricter scrutiny without shipping your data offshore.
Alongside. Forward-deployed engineers embed with your team rather than bolting on a black-box vendor stack — the goal is a system your own people can operate and defend, not a dependency on us.
With a private conversation mapping your current AI setup against real data custody and compliance risk in both US-grade and local APAC terms. No pitch deck, no obligation — we tell you fast whether your existing approach is fine, or where the exposure actually is.
We design the full stack, but our core philosophy is to secure the foundation first — cyber controls, data flows, custody, and governance — before any customized applications or agents. This ensures everything built on top is reliable, auditable, and compliant from the start rather than bolted on later.
Talk to an architect.
Book a conversation where we map your AI setup against real data custody and compliance risks. We’ll tell you fast whether a standard approach fits or bespoke deployment is required — and whether the economics justify it.
The first conversation is private and carries no obligation. Reach out if:
- You own technical sign-off and will have to defend the custody model and controls to an auditor or CISO.
- You suspect standard third-party models won’t meet your workflow or compliance constraints — or you have a digital transformation program that needs proper scoping.
- You have a strong business case for AI to support your operations, but you want honest and transparent scoping of what it really takes.
- Capital or contracts are about to lock in while the compliance architecture or data custody model remains unresolved.
- Not for vendors, agencies, recruiters, partnership pitches, or anyone seeking free scoping advice or architecture input. Those go unread.
Bulk, automated, and unsolicited sales messages are unread.