Private LLM Deployment
& Private AI

Use powerful AI without sending sensitive data outside your control — private LLMs deployed in your cloud or on your servers.

For healthcare, finance, legal and government teams, public AI tools raise hard questions: where does our data go, who can see it, and can we prove compliance?

Pixarsart deploys private AI that answers those questions. We run open-source or enterprise LLMs inside your own AWS or Azure environment, or on-premise, with access controls, audit logs and encryption — so your team gets modern AI capabilities while your data stays in your control.

Faster

Workflow Execution

Better

Decision Support

Stronger

Operational Efficiency

Scalable

Application Performance
9to5Google
21CCCS
Amok Earth
BBC
Coldsnow
Dockies
Elevated Iron
Flashing Flights
Health House
Ironbond
Kinetic Conversions
Legends of the Galaxy
Mallick OBGYN
Margot
OCD
PaddlPass
Pixie Cup
Securities
SOMO Marketing
Stanford
Steel McLean
Walt Disney
XDGE
9to5Mac
1101 Grand
Arcadia
Charity Direct
Diram
Drive Points
FixTrack
Harvest Pro
Hyprov
John La Puma
KOKO Coffee
Lumiflow
MAP
MyFoodie
Omaha Food
Pixeldust
Point
Shepper
Stampbox
Star Wars
TorkLaw
World Economic Forum

Private AI Deployment Services

Private LLM Hosting

Llama, Mistral and other open models in your cloud.

Private Enterprise AI

OpenAI and Claude via private cloud endpoints (Azure, Bedrock).

On-Premise AI

Models running on your own hardware.

Private Knowledge Assistant

Secure RAG over your internal documents.

AI Access Controls

Role-based access and data-level permissions.

AI Audit & Logging

Every prompt and response recorded.

Model Fine-Tuning

Tune models on your data, privately.

AI Governance

Policies, guardrails and compliance reporting.

Why Deploy Private AI
With Pixarsart

AWS expertise

Certified cloud infrastructure built for security.

Compliance-minded design

Architecture that supports HIPAA, SOC 2 and data residency needs.

Right model, right cost

Open-source or enterprise models sized to your workload.

Full ownership

Your infrastructure, your data, your models.

Stampbox app
Elevated Iron app
Unlimited Auto Wash app
Resell app
Umrah Planners app
Point app
TTN app

How We Deploy Private AI

  1. Step 1

    Assess

    Data sensitivity, compliance and use cases

  2. Step 2

    Architect

    Model choice, hosting and security design

  3. Step 3

    Deploy

    Infrastructure, models and access controls

  4. Step 4

    Integrate

    Connect to your documents and apps

  5. Step 5

    Test

    Security, accuracy and performance

  6. Ongoing

    Operate

    Monitoring, updates and cost control

Private AI for Regulated Industries

Patient data stays private

Pricing

Private AI Pilot

$20K – $50K setup

Private AI Platform (Most popular)

$50K – $150K setup

Enterprise Private AI

$150K+ setup

Secure,
Self-Hosted AI

Private AI Technologies

Figma
Kotlin
React Native
Flutter
AWS
Node.js
Laravel
Python
Swift
GitHub

An AI development partner for companies that choose quality over the lowest quote

Great products come from the right partnership, and the right partnership starts with honest expectations. Pixarsart isn’t the right fit for every project. That focus is exactly why our clients trust us with the products their business depends on.

If the lowest hourly rate is your main decision factor, there are cheaper options out there. We price for outcomes – senior engineers, proper QA and on-time delivery – because rework and missed launches cost far more than a lower rate saves.

Pixarsart focuses on building and scaling apps, software and AI products. For quick website fixes, WordPress or Shopify updates and urgent repairs, our sister brand alley214 offers fast, fixed-price help.

We work best as an accountable partner, not a pair of hands to direct line by line. You set the goals and priorities, our leads manage delivery, and you keep full visibility of progress in Kanbaan.

Every successful build has a decision-maker who can review work and give timely feedback. If no one on your team can own the project, we’ll recommend starting with a short discovery workshop first.

Plan Your Private AI

Tell us about your app idea or existing product and we’ll review your requirements, recommend the right architecture, and provide a realistic timeline and cost range.

World Economic Forum

World Economic Forum

Committed To Improving The State Of The World

Hyprov

Hyprov

Improv Under Hypnosis

Margot Community

Margot Community

Online Community Connecting Women with Mentors

Pixie Cup

Pixie Cup

Silicone Storage Cup

Legends of the Galaxy

Legends of the Galaxy

Community Driven Roleplaying Experience

Women Entrepreneurs

Women Entrepreneurs

ERP System

Stampbox

Stampbox

An all-in-one platform for both beginners and expert philatelists

Point App

Point App

Now Everyone is in League

FixTrack

FixTrack

Transforming Device Management Through Tailored Digital Ecosystems

Private LLM FAQs

A private LLM is a large language model hosted in your own cloud or servers, so prompts and data never leave your control.

For many business tasks, modern open models perform very well. We test options on your use case before you commit.

Yes, through enterprise cloud endpoints such as Azure OpenAI and AWS Bedrock, within your cloud account.

It keeps data in your environment with logging and access controls, which supports HIPAA, SOC 2 and similar requirements.