AI that runs
inside your walls.
We build and deploy private, self-hosted AI systems directly inside your infrastructure. Your data never leaves your network. Most clients are live in 30 to 90 days.
Most AI projects never reach production.
The problem is rarely the AI itself. It is everything around it: data security requirements, compliance reviews, integration complexity, and infrastructure that was never designed for AI workloads.
Cloud-based AI tools are fast to start, but they require your data to leave your network. In regulated industries, that is often not an option.
HIPAA, GDPR, SOC 2, and similar frameworks often prohibit sending sensitive data to external AI services.
Vendor black-box models lack the audit trails and explainability that compliance teams require before sign-off.
A proof of concept in a sandbox is not a production system. The integration work is where most projects stall.
We build AI that your security team will approve.
Every on-premise AI system we deliver runs entirely inside your infrastructure. No subscriptions. No external dependencies. You own it outright.
We install and configure AI models directly on your servers or private cloud. All inference happens inside your network. Nothing is sent to OpenAI, Anthropic, or any other external provider.
Learn more →We build the pipelines that feed your AI system: ingesting documents, classifying data, tracking lineage, and enforcing access controls. Every record is traceable from source to output.
Learn more →We connect AI outputs to the systems your teams already use: claims platforms, ERP, PACS, TMS, or custom internal tools. The AI works inside your existing process, not alongside it.
Learn more →We configure role-based access, integrate with your existing directory services, and build the audit logging your compliance team needs. The system is ready for internal review from day one.
Learn more →Built for regulated environments.
We focus on industries where data security is not optional and compliance requirements are non-negotiable. Our enterprise AI deployments meet HIPAA, GDPR, SOC 2 Type II and ISO 27001 requirements.
| Status | Industry | Who We Work With | What We Build |
|---|---|---|---|
| Active | InsuranceCOO, Chief Risk Officer | Claims processing, underwriting review, fraud detection | Regulatory reporting, audit-ready AI pipelines |
| Active | HealthcareCIO, Chief Medical Officer | Clinical document summarization, DICOM image analysis | Radiotherapy contouring, prior authorization |
| ManufacturingVP Operations, Plant Director | Technical manual search, quality inspection | Predictive maintenance, production scheduling | |
| LogisticsCOO, Head of Network Planning | Route optimization, capacity planning | Tariff modeling, carrier performance analytics |
Systems we have shipped.
These are production deployments, not demos. Each one runs inside a client's own infrastructure today.
A private AI gateway routing all requests through on-premise endpoints. Zero data egress. Full audit logging on every query.
A document search system for 800-page technical manuals. Engineers ask questions in plain language and get precise answers with source references.
An on-premise fraud signal classifier integrated into KYC workflows. Achieves 95%+ precision and runs entirely within the client's compliance boundary.
An on-premise CT/MRI contouring system for radiotherapy planning. Built with PyTorch and DICOM protocols. No patient data leaves the hospital network.
A logistics optimization system handling truck capacity, multi-tier tariffs, and live dispatch recommendations. Integrated directly with the client's TMS.
A multi-site document ingestion system with classification, lineage tracking, and role-based access. Built for a regulated financial services firm.
From scoping call to production system.
A fixed, four-phase process. No open-ended retainers. No scope creep. A defined outcome at every stage.
We map your infrastructure, compliance requirements, and the specific use case. You receive a written scope document before any build work begins.
We design the system architecture, select the appropriate models, and define the integration points. Your team reviews and approves before we build.
We build and deploy the system inside your environment. Weekly check-ins. All code is written to your internal standards and reviewed by your team.
We hand over full documentation, conduct a knowledge transfer session with your team, and transfer all code and infrastructure ownership to you.
Ready to move past the pilot?
Tell us about your environment. We will respond within one business day.