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Skylance AISensitive data
Records that can’t leave the building, the country, or your control. We put AI on them anyway, inside your perimeter.
Sounds like“Our claims records can’t leave Thailand.”
Bring us this →What’s your riskiest task?
Bring us the problem →Private AI.
Your custody.
U.S. standards.
Global execution.
Agentic AI on your data. Humans in the loop.
- Agentic AI for the riskiest work. Ask public AI about your drug program and it can’t see your data, refuses, fails silently, or quietly leaves trials out. Skylance AI runs on a harness built for your program, inside your walls, and answers completely, with every source cited.
- One request becomes a mission. Agent 1 plans the mission and puts 60 agents on four jobs: patents, papers, your notebooks and your assays.
- They work the public record and your private records, without either leaking. Questions go out to the public record and facts come back: 3.2 million documents read, and nothing on your side of the line leaves your servers.
- They check each other, and flag what a person should decide. Agent 3 finds a published paper and your own assay disagreeing about compound AX-114, and flags it for a chemist.
- Human in the loop. A shortlist: 7 scaffolds you haven’t tried, 1,284 citations, 2 conflicts for a chemist, 0 records out. A person approves it.
- What’s your riskiest task? Bring us the problem →
Private AI for your hardest problems.
Critical workflows
Manual, high-stakes work. Agents take the volume; exceptions route to a person.
Sounds like“Finance reconciles every invoice by hand.”
Bring us this →Legacy systems
Decades-old systems nobody wants to touch. We make them readable, and usable by AI.
Sounds like“No one left knows how the pricing engine works.”
Bring us this →How we work.
- 01 Input
Bring us the problem you’re working on.
You know your business, and what you’re trying to solve, better than anyone.
- 02 Build
Real forward-deployed engineers build it with you.
We embed with your team, reverse-engineer the workflow, and build alongside you.
- 03 Run
Your team runs it. We stay with you.
We leave your engineers able to operate and defend the system, and keep it current as models and regulations change.
Any model. Any harness.
Skylance architects and forward-deployed engineers build on whatever fits the problem and the perimeter, and swap it when the field moves.
Models 12
- Claude
- GPT
- Gemini
- Grok
- Llama
- Qwen
- DeepSeek
- Mistral
- Gemma
- Kimi
- GLM
- gpt-oss
Harnesses 8
- Claude Code
- Codex
- Cursor
- GitHub Copilot
- Gemini CLI
- OpenCode
- OpenClaw
- Hermes Agent
Runtimes 4
- vLLM
- Ollama
- llama.cpp
- SGLang
Your private AI, in eight layers.
Designed and deployed by Skylance: on‑prem, private cloud, or hybrid.
Where it runs
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01
Your data
Stays in a perimeter you control, in the jurisdiction it has to sit in.
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02
Infrastructure
Your servers, your private cloud, or both, with boundaries designed in from the first diagram.
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03
Models & agents
Open-weight models and the agents built on them, on your hardware. They learn from regulated data without exposing it.
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04
Red team
We attack it like a real adversary, score it against the OWASP LLM Top 10, and rank every fix by blast radius.
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05
Monitoring
Live watch for prompt injection, model abuse, and quiet exfiltration.
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06
Policy engine
One system that answers to U.S. standards and your local rules at the same time.
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07
Governance & audit
Every control mapped to the frameworks you answer to, with a trail a reviewer can follow.
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08
Your team
Trained to run and defend the system after we leave.
Vet us the way you’d vet anyone else.
Is this right for our organization?
We start with one workflow, the people who own it, and the data it uses. Together we decide whether AI helps, what needs approval, and how to measure the result.
We already have an IT team or technology partner. How do you work with them?
We agree who does what before work starts: system access, integrations, security review, testing, and who runs the system after launch.
Can it run in our environment?
We check your hardware, private cloud, or hybrid setup against the workload and security needs. Where it runs, and any outside services, are agreed before we build.
Will our data leave the country or reach an outside AI provider?
We agree where data is stored, processed, and accessed before choosing any model or service, including prompts, files, logs, backups, and support access. Any outside processing needs your approval.
We already have an AI policy. What does this add?
We turn the parts that apply to this system into controls and tests: access permissions, approved data sources, human approval steps, and activity records.
How do we know it’s ready to use?
We agree acceptance criteria before the build. Testing covers the task, output quality, access controls, failure handling, and every point where a person must review or approve.
What will our security team or auditor receive?
The evidence we agree up front. Depending on scope: system docs, data flows, control mappings, test results, known limits, and who is responsible for what. It supports your review and obligations; it doesn’t replace an independent audit.
What is the first step?
A private conversation about one workflow. Bring the business owner and, if you can, someone from IT or security. We agree the goal, the constraints, and whether an assessment or a build comes next.
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.
Private · no obligationReach 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.