How It Works

An overview of the technical side and a summary of services

What Makes the LLM Private?

1. Virtual Private Cloud (VPC)
Your model is stored within a virtual private cloud (VPC) on Amazon Web Services (AWS), along with your other infrastructure. A VPC is a logically isolated network—the components within it can't send or receive data to anywhere outside of the VPC. It starts out completely isolated from the global internet (and everything within AWS), where we then add strict privileges and authentication, allowing you and only your company to access it. This creates a secure area for your company to use, with no worries about data security.

2. Interconnected Services
Within your VPC, there is a web of interconnected services, communicating with one another to deliver the fastest and highest quality responses possible. These include:

  • Secure storage
  • Authorisers and gateways
  • High-performance computers
  • Load balancers and routing
  • Integrations with your database services

3. Direct Model Ownership
The LLM is held directly in secure storage and runs on high-performance machines within the VPC. This means that you directly own the model—no outgoing traffic to other LLM providers—this is the key element which keeps your data in one place.

Security Architecture Schematic

Frequently Asked Questions

Why AWS?
AWS is an incredibly secure platform to host cloud architecture, with world-class infrastructure and strict compliance to regulations. About 1.5 million companies worldwide choose to operate on AWS, including tech giants such as Netflix and Adobe, as well as major UK companies like Lloyds Bank, Barclays, and LSEG. Learn more about AWS security.
Can I use my existing AWS account?
Yes, absolutely. We can deploy directly into your existing AWS infrastructure, giving you full ownership and visibility of all resources. Alternatively, we can set up a new account specifically for your AI services.
What happens to my data after processing?
Your data remains entirely within your VPC. We do not retain, store, or have access to your queries or responses unless explicitly granted permission for fine-tuning purposes. You can delete all data at any time.
How long does deployment take?
Typical deployment takes 1-2 weeks depending on the complexity of your requirements and any custom integrations needed. Tier 1 services can be set up within days.
Is the service GDPR compliant?
Yes. Our architecture is designed with GDPR compliance in mind. Data stays within your chosen AWS region (we recommend EU regions for UK clients), and you maintain full control over data retention and deletion policies.

Our Service Timeline

1. Consultation & Scoping

We start by understanding your organisation—your workflows, pain points, and where AI can make the biggest impact. Our team identifies the precise grade of model, agent abilities, and database services you require, including a full security and compliance requirements review.

2. Model Setup & Deployment

We handle all the technical heavy lifting—from provisioning secure infrastructure to configuring the model for your specific use cases. Depending on your chosen tier, this can be hosted by us or deployed directly into your own cloud environment.

3. Model Specialisation

As the model is used by your team, we can fine-tune it to embed your company's specialised knowledge directly into the model's weights. We can even create department-specific variants—legal models tuned for contracts, sales models optimised for client communications, and more.

4. Monitoring & Optimisation

We don't just deploy and disappear. Pioneer.AI provides ongoing maintenance, real-time performance monitoring, and continuous updates to ensure your model performs to the highest level, always.

Ready to get started?

Let's talk about how we can build the right solution for your organisation.

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