Perimeter
Enterprise AI that never leaves your walls.
Full-stack private AI deployment for enterprises that can't afford a data breach, a compliance violation, or a vendor dependency. Your models. Your infrastructure. Zero cloud exposure.
100%
Data on-premise
8wk
Avg. deployment
0
External API calls
Your data should never leave the building
Sending PHI to OpenAI violates HIPAA. Every prompt containing patient data sent to a third-party API is a compliance liability — regardless of a BAA.
Cloud AI bills are unpredictable and compounding. Enterprise token consumption at scale hits $30–80K/month. And you don't own anything.
Your proprietary data trains their models. The fine print on most cloud AI services allows model improvement from your inputs. That's your IP walking out the door.
Vendor lock-in is existential risk. When OpenAI changes pricing, deprecates a model, or goes down — your entire AI layer goes with it.
Everything you need to run AI entirely in-house
AI Workload Audit
We map every AI touchpoint in your stack — what data flows where, what models you're calling, what's exposed. You get a full risk + opportunity inventory before we write a line of code.
Model Selection & Sizing
We identify the right open-weight model for your use case — Llama 3, Mistral, Gemma, Phi, or fine-tuned variants — and size hardware requirements precisely. No over-buying, no under-speccing.
Private Inference Stack Deployment
Full containerized deployment inside your VPC or on-prem datacenter. vLLM or Ollama serving layer, API gateway, auth, logging — production-grade from day one.
Domain Fine-Tuning
We fine-tune your deployed model on your proprietary data — clinical notes, legal docs, support tickets, internal knowledge base. The model becomes yours in every sense.
Compliance Hardening
HIPAA, SOC 2, GDPR, EU AI Act — we configure audit logging, access controls, PII redaction pipelines, and data lineage tracking so your AI layer survives any compliance review.
Ongoing Model Management
Model updates, performance monitoring, drift detection, and quarterly re-tuning. Your AI gets smarter over time without you managing it.
From scoping to production in 8 weeks
We've built a repeatable deployment playbook for enterprise AI that eliminates the guesswork, the vendor negotiation, and the 6-month integration timelines. You get a working private AI system — not a proof of concept.
Week 1–2
Discovery & Architecture
Audit current AI usage, define use cases, design the private stack architecture, select models. You leave with a detailed deployment blueprint.
Week 3–4
Infrastructure Setup
Deploy hardware or VPC environment, configure the inference stack, set up monitoring, authentication, and baseline security controls.
Week 5–6
Model Deployment & Tuning
Deploy and fine-tune models on your data. Integrate with your existing applications via API. Run load testing and accuracy benchmarks.
Week 7–8
Compliance & Handoff
Compliance documentation, team training, runbooks, and go-live. Your team owns it from day one. We stay on as managed service if needed.
Built for enterprises where data exposure is not an option
Healthcare & Clinical Systems
Hospitals, digital health platforms, and clinical decision support tools handling PHI. Deploy AI on clinical notes, EHR data, and diagnostic workflows without HIPAA exposure.
Financial Services & Capital Markets
Trading platforms, wealth managers, and fintech companies with client financial data, proprietary models, and strict regulatory requirements.
Legal & Professional Services
Law firms and enterprise legal teams processing privileged documents, contracts, and client communications — where attorney-client privilege makes cloud AI legally untenable.
Enterprise & Manufacturing
Large enterprises with proprietary IP, trade secrets, and internal knowledge bases. AI for internal ops, document intelligence, and workflow automation — fully air-gapped.
Open. Proven. Yours
We deploy on best-in-class open-weight models and battle-tested serving infrastructure. No proprietary lock-in, no black boxes. You can inspect, audit, and extend everything.
Foundation Models
Inference & Serving
Infrastructure & Compliance
Your AI. Your Rules
Book a 30-minute scoping call. We'll tell you exactly what a private deployment looks like for your stack.