Keep your AI data in-house

AI is getting adopted inside enterprise teams.

Pilots are launching. Proofs of concept are running. Tools are being tested across engineering, revenue, operations, and product.

But in many cases, AI is adopted in a limited way.

Because the moment AI needs access to real data, things get complicated.

Security reviews stretch.
Legal asks hard questions.
Procurement slows everything down.

Not because teams don’t want AI.

But because connecting AI systems to sensitive, production data raises legitimate concerns:

So teams compromise.

They test AI in isolated environments.
They avoid connecting critical systems.
They keep it away from production data.

And the result?

AI that technically exists — but doesn’t actually do much.

The Real Value of AI Is in Your Data

Generic AI outputs are interesting.

AI that understands your codebase, your workflows, your internal systems — that’s transformative.

The real leverage comes when AI can operate directly on the data your business actually runs on.

But for organizations with serious security, regulatory, or data residency requirements, that level of access has traditionally required tradeoffs.

Until now.

We built a new deployment model designed specifically for enterprise environments.

Structify can now run entirely inside your Virtual Private Cloud (VPC) for eligible enterprise plans.

This means:

Sandboxes run in your cloud
Code execution and AI workflows operate inside your environment — not in a shared external sandbox.
AI pipelines execute within your infrastructure
Network policies, IAM controls, encryption standards, and audit logging remain under your control.
Long-term data stays in your cloud buckets
Any data that needs to persist lives in storage you own and manage.

And most importantly:

No data at rest outside your network.

Data may transit during processing, but it does not persist outside your VPC.

This isn’t about adding more features.

It’s about removing the final blocker for teams that need AI to be enterprise-ready.

AI-assisted coding — and AI workflows more broadly — shouldn’t require weakening your compliance posture or relaxing your cloud boundaries.

If VPC constraints have been the reason AI hasn’t made it to production, this deployment model is designed for you.

AI doesn’t have to stay safe but shallow.

It can operate on real data — within the environment you already trust.

If you’d like to see what Structify looks like running fully inside your VPC, we’d be happy to walk through it.