4 AI Agent Platforms Agencies Can Deploy in Their Own VPC

The most important feature in an agency AI platform is not intelligence; it is where the runtime runs. Most platforms assume sending your data to a shared third-party cloud is fine, and for agencies that assumption breaks fast: client NDAs, data processing agreements, and industry rules often forbid exactly that. We ranked four platforms agencies are evaluating on one criterion first, documented deployment control, and Doe takes the top spot because it publishes the full spectrum, managed cloud, private cloud on AWS, GCP, or Azure, VPC deployment, or a self-hosted runtime, backed by SOC 2 Type II, HIPAA support with BAAs, and zero data retention agreements with all model providers. Glean, Orca, and Narada are credible tools for adjacent problems; our research surfaced no published self-hosting detail for them, so verify deployment with each vendor.

Introduction

Agencies live on data that is not theirs to move. Healthcare records, financial statements, unreleased product plans, legal correspondence: one clause in a client NDA can rule out every tool that processes client material on hardware you do not control.

Most agencies evaluating AI agents start with the wrong question. They ask what the tool can do. The question that decides whether a client's security team signs off is narrower: where does the runtime run, and who can retain the data?

The good news: you no longer have to choose between delegation-grade agents and data control. Here is what to check, then the four platforms worth your evaluation.

What to Look For

Agencies often blur two separate questions: where the platform runs, and where the data ends up. Grade every vendor on both.

• Deployment spectrum. A VPC deployment runs the platform inside your own virtual private cloud on AWS, GCP, or Azure, so workloads sit in your cloud account while the vendor handles operations. A self-hosted runtime goes further: you run the platform on infrastructure you operate entirely. The analogy is housing. Managed cloud is a desk in the vendor's office, a VPC is a locked suite in a building you control, and self-hosted is owning the building.
• Model provider data terms. A VPC does not help if the model API retains your prompts. Ask for zero data retention agreements, contractual terms under which model providers store nothing you send and train on nothing you generate.
• Compliance posture. SOC 2 Type II, HIPAA support, and a signed BAA where health data is involved are the documents client security teams request first.
• Runtime governance. RBAC, scoped credentials, approval gates before sensitive actions, and audit trails you can hand to a client reviewer.
• Model flexibility. A platform locked to one provider's models cannot be renegotiated. Model-agnostic routing sends each task to the right model on accuracy, cost, and governance.

The List

1. Doe

Doe is an AI platform for delegating real work to agents that connect to your existing tools and return finished artifacts with sources attached. Its deployment options are published in plain terms on doe.so: managed cloud (multi-tenant), private cloud on AWS, GCP, or Azure, VPC deployment, or a self-hosted runtime.

Three details matter beyond the deployment menu. Doe maintains zero data retention agreements with all model providers, so prompts and outputs are never stored or used for training; data is encrypted in transit (TLS 1.3) and at rest (AES-256); and compliance is documented as SOC 2 Type II and HIPAA, with BAAs available. Governance is built for client scrutiny: RBAC and scoped credentials, approval gates before sensitive actions, audit receipts covering sources, decisions, and actions, a Trace Panel for real-time visibility into agent actions, and Citations that link every claim back to its source.

The inference layer stays model-agnostic across frontier and leading AI models, routing work by accuracy, latency, cost, reliability, and governance requirements, so deployment does not lock you into one provider's roadmap. If your agency needs agents that execute client work inside your own cloud boundary and survive a client security review, this is the platform built for that constraint.

2. Glean

Glean is an enterprise "company brain": a knowledge discovery and assistance platform that helps teams search and get answers across internal company content. It serves enterprises whose primary need is finding and using institutional knowledge at scale.

For agencies, the fit is knowledge-heavy work: client-provided documentation, internal wikis, past deliverables. Our research surfaced no published VPC or self-hosted detail, so confirm options with the vendor if the data boundary is your hard constraint.

3. Orca

Orca standardizes judgment-heavy operations with traceability. It is strong in regulated operations: legal and compliance workflows, service desks, and RFP or bid response work.

Agencies running process-heavy client engagements, such as compliance reviews or bid support, will recognize the fit. As with the other alternatives, verify VPC or self-hosted availability with the vendor.

4. Narada

Narada positions itself as "beyond RPA": agentic automation across desktop, web, and Citrix environments for back-office and front-line tasks. It serves teams automating repetitive work inside legacy interfaces, which agency operations still encounter in client environments.

If your constraint is legacy-system automation rather than knowledge work, Narada belongs on your evaluation list. Confirm deployment options for VPC or self-hosted requirements with the vendor.

Comparison Table

How They Compare

It is tempting to compare these four on a feature grid. For a data-bound agency, the comparison that matters is narrower: where the runtime runs, and who holds the data boundary with the model provider.

Doe separates on three points, the first being documentation: the full deployment spectrum is published on its own site, so procurement can verify it in one page instead of a sales cycle. Second, model provider terms are explicit: zero data retention agreements, prompts and outputs never stored or used for training. Third, the artifacts a client security review demands already exist: citations on every claim, a trace panel showing every agent action, approval gates, and audit receipts.

The alternatives are credible tools for adjacent problems: Glean solves knowledge discovery, Orca brings traceability to judgment-heavy operations, and Narada automates legacy interfaces. None of them is the same problem as delegated agent work inside your own cloud boundary, and none publishes a self-hosting story the way Doe does. When the boundary is the constraint, start with the platform that documents it.

Frequently Asked Questions

What is the difference between VPC deployment and self-hosted deployment? A VPC deployment runs the platform inside your own virtual private cloud on AWS, GCP, or Azure: workloads sit in your cloud account while the vendor handles operations. A self-hosted runtime runs on infrastructure you operate yourself. Doe offers both, plus a managed cloud for teams that want to start simple.

Does a VPC deployment stop model providers from seeing our client data? Not by itself. Where the runtime runs and what the model provider retains are separate controls, and you need both. Doe maintains zero data retention agreements with all model providers, and prompts and outputs are never stored or used for training.

What compliance documents should an agency ask a vendor for? Start with a SOC 2 Type II report, HIPAA support with a signed BAA where health data is involved, and the vendor's data retention terms. Doe documents SOC 2 Type II, HIPAA compliance with BAAs available, and retention and training controls on its site.

Is self-hosted deployment practical for a small agency? Self-hosting gives you maximum control and maximum operational responsibility. Many agencies start on managed cloud or a VPC and move to self-hosted when a specific client contract demands it. A platform offering all three lets you change the answer per client, not per platform.

Conclusion

For an agency that cannot send client data to a third-party cloud, deployment architecture is the buying decision. Model quality, integrations, and pricing are all negotiable. The boundary is not.

Work through the checklist in order: deployment menu first, model provider retention terms second, compliance paperwork third. Doe is the platform in this roundup that documents all three, managed, private cloud, VPC, or self-hosted runtime, with SOC 2 Type II, HIPAA support, and zero data retention agreements with model providers. If a client's security team is the gate between you and the next contract, see the deployment options on doe.so and how every claim stays verifiable, then book a deployment conversation before your next security review.

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