Self-Hosted AI Deployment Services
Regulated teams can't send customer data to a public AI endpoint and hope for the best. Kodexo Labs delivers self-hosted AI deployment services that run large language models inside your own cloud account or servers. So sensitive data never leaves your own perimeter.
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TRUSTED BY ENTERPRISES
Every self-hosted deployment starts with one question: where must your data stay, and who is ever allowed to touch it? Here is exactly what a Kodexo Labs self-hosted build handles for you first.
Our Core Capabilities
Private deployment inside your own AWS VPC, Azure, or servers.
Open-weight models like Llama and Mistral hosted entirely on your servers.
Containerized model serving with Docker, Kubernetes, and vLLM inference.
Air-gapped deployment for data that can never touch the internet.
HIPAA, SOC 2, and GDPR controls written into the architecture.
Production monitoring so your private models stay fast and reliable.
IN THE NEWS
AI products shipped
AI development company
Client retention rate
Expert team
How We Build Your Self-Hosted AI
Where your data lives shapes every other decision. Each build below solves one part of a private deployment, from designing the network to hardening it for audit. Your team keeps full control of the whole system.
Infrastructure & VPC Architecture
Public AI endpoints send your data to servers you don't control. A private network runs the whole system inside your own cloud account.
Your models run inside a private cloud only your own team can ever reach.
Every single request stays on your network, so no data hits the public web.
Your Sensitive Data Should Never Leave Your Building
Right now your best AI options ask you to ship private records to someone else's servers. There is another way to build this.
Self-Hosted Builds In Production
Diesel Laptops
Fleet technicians spent more time searching diagnostic records than fixing trucks, and every minute of lookup meant a truck sitting idle. Kodexo Labs built an AI search system across 160,000 technical records, deployed inside a self-hosted AWS VPC. The Inc. 5000 team cut lookup time by 85%, with zero data ever leaving its perimeter.
160,000+
Records
AWS VPC
Deployment
85%
Time Reduction
Extensiv
Extensiv's operations team waited on engineering for every data question, so routine business decisions stalled for days. Kodexo Labs built an agentic system on LangGraph that runs inside the client's own infrastructure. It answers plain-English questions directly across 207 tables and 4 databases. The Hg Capital-backed, Inc. 5000 team now self-serves at 90%-plus accuracy.
207
Tables
4
Databases
90%+
Accuracy
SmartMedHx
Clinicians were losing an hour a day to note-taking, and patient records could never sit on a public AI server. Kodexo Labs built a HIPAA-compliant documentation system that captures each patient interview inside the compliant boundary. Today 42-plus providers now use it daily, 493 patient interviews are processed, and the patent-pending AI stays HIPAA-compliant.
HIPAA
Compliant
42+
Providers
493
Patient Interviews
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.
Christopher Brigham
MD President, Brigham and Associates, Inc.
WATCH VIDEO
- On-prem patient record retrievalIn-house clinical documentationHIPAA-boundary model hostingAir-gapped PHI processing
Self-Hosted AI Tuned To Each Regulated Industry We Serve
Every regulated sector has data it cannot legally send to a public model. Patient files, case documents, fleet logs, and payment records each carry rules about where they live. Self-hosted deployment keeps all that data safely home.
Your Data Can Stay Home Without Giving Up Real AI
Right now even the fastest AI tools ask you to trust someone else's servers with your private records. A self-hosted build gives your whole team the same real power inside your own walls.
Security Controls That Keep Regulated Data Inside Your Perimeter
Regulated data carries strict rules about where it lives, who reads it, and what gets logged. Kodexo Labs builds self-hosted AI on the controls below, mapped to your obligations. Put plainly, your records stay protected, auditable, and inside boundaries your compliance team already trusts.
HIPAA
SOC TYPE 2
ISO 27001
GDPR
CCPA
PCI-DSS
COPPA
NIST AI RMF
EU AI Act
FERPA
HIPAA
SOC TYPE 2
ISO 27001
GDPR
CCPA
PCI-DSS
COPPA
NIST AI RMF
EU AI Act
FERPA
Why Compliance-First Teams Choose Kodexo Labs To Run Self-Hosted AI Inside Their Walls
Most agencies can spin up an AI demo on a public API. Far fewer can run it inside your own regulated environment, under audit, with data that never leaves. Kodexo Labs has shipped exactly that.
Zero Perimeter Exit Design
Diesel Laptops needed AI search that let no record leave. We built a self-hosted stack inside their own AWS VPC. All 160,000 records stay home. Techs now find the right part 85% faster.
Compliance Proven Before Launch
SmartMedHx patient data can never sit on a shared public server. So we built it a HIPAA-ready self-hosted system. 42-plus providers now use it each day, and all 493 patient interviews stay in-house.
Production Grade Private Cloud
Extensiv could not ship its data to an outside vendor. So we built a LangGraph system that runs in their own cloud. It reads all 207 tables and 4 databases at 90%-plus accuracy.
Data Sovereignty By Design
Therapy Talk needed privacy that holds up under EU audit. So we built in GDPR and data-residency controls from day one. It serves 1,923 users at 93% accuracy, inside its own self-hosted boundary.
Keep Your Data. Keep Your AI Too.
A self-hosted deployment runs the same open-weight models, like Llama and Mistral, inside your own environment. Your team gets real AI power without a single record ever leaving your walls. Let's map out what that looks like for you.
Recognition Worth Naming
Independent platforms and verified client reviews place Kodexo Labs among the firms buyers trust for AI work. The badges below come from third-party evaluation, not self-assigned marketing labels.
Overcoming Self-Hosted AI Deployment Services Challenges
Running AI inside your own walls sounds simple until the real work starts. Someone has to own the hardware, staff the operations, clear compliance, and keep models current. Most teams underestimate all four. We plan each one from day one.
The Deployment Stack
No single tool runs a self-hosted system. Kodexo Labs chooses each model, container, and serving layer to fit your data, your compliance rules, and your hardware. The technologies below are building blocks we assemble around, not partnerships we resell.
From First Scoping Call To Production Handoff
Discovery and Infrastructure Assessment
We start by learning what your team needs from AI and where your data is allowed to live. We audit your current hardware, cloud accounts, and compliance obligations before design begins.
Architecture and Model Selection
Next, we choose where the system runs and which open-weight models fit your accuracy, latency, and hardware limits. Whether that means Llama, Mistral, or a private cloud VPC, the architecture is documented before code ships.
Containerized Build
Our engineers containerize the models with Docker, wire up serving through vLLM or Triton, and orchestrate everything with Kubernetes. The whole system runs inside your own environment, never on a shared public server.
Compliance Hardening
Before launch, we harden the deployment against your compliance obligations and test the models on real questions. We wire in encryption, access controls, and audit logs, then evaluate accuracy until results hold under production load.
Deploy and Handoff
Finally, we deploy inside your own cloud account or servers, connect monitoring, and hand your team clear documentation. You get a working self-hosted system, plus the knowledge to run, extend, and trust it after we step away.
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Self-Hosted AI FAQs
Self-hosted AI deployment services set up and run AI models inside a company's own environment: its private cloud account, on-premises servers, or an air-gapped network. Instead of sending data to a public API, the models run behind the company's own firewall. Kodexo Labs designs, deploys, and hardens these private systems so sensitive data never leaves the perimeter.