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Specialty & Austin · AI Governance

Enterprise AI Privacy Gateway

Privacy-first AI platform that audits every prompt before it leaves your org: multi-LLM routing, PII detection, and white-label deployment.

Trusted by teams at

ExxonMobilBuxtonKrogerGoProLeverNielsen
What we offer

What the gateway does.

Hover any tile to learn more about how we can help.

01

Privacy Intercept Layer

Scan · Redact · Block

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Privacy Intercept Layer

Every prompt passes through our privacy gateway before reaching any AI provider. PII is detected, redacted or blocked, and logged with full audit trail.

02

Per-Client Vector Store

Isolated SQLite · One per client

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Per-Client Vector Store

Each client gets a dedicated, isolated vector database for their knowledge, agent memory, and embeddings. Zero cross-client data contamination.

03

Multi-LLM Routing

OpenAI · Anthropic · Gemini · Grok · OSS

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Multi-LLM Routing

Intelligent routing across OpenAI, Anthropic, xAI Grok, Google Gemini, and self-hosted open-source models. Each provider is called at its enterprise endpoint, with zero data retention where the provider offers it.

04

Executive Egress Dashboard

What left · What was blocked · What it cost

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Executive Egress Dashboard

See exactly what data your team is sending to AI providers, what was blocked, what was redacted, and your full token spend with cost-vs-insight scoring.

05

Automated Prompt Insights

Recommendations · Optimization

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Automated Prompt Insights

The system aggregates prompts, identifies patterns, and generates actionable recommendations: model switches, cost savings, risk reduction, and prompt template improvements.

06

White-Label Deployment

Your brand · Our infrastructure

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White-Label Deployment

Deploy the entire platform under your brand. Your clients get their own private gateway, dashboard, and AI agents without knowing the stack underneath.

Know before it goes

Your team is already using AI. The question is whether you know what they are sending — and to whom.

The Enterprise AI Privacy Gateway sits between your users and every LLM provider. Before any prompt reaches OpenAI, Anthropic, Grok, Gemini, or a self-hosted model, it passes through a privacy inspection layer that detects sensitive content, applies redaction policies, and logs everything internally.

What you get on day one

  • Full prompt audit log, searchable and exportable.
  • PII scan results for every outbound request.
  • Executive dashboard showing data egress risk score, cost breakdown by provider, and automated insights.
  • Multi-provider routing across five LLM providers, each called at its enterprise endpoint, with zero data retention where the provider offers it.
  • Automated prompt recommendations that surface cost and risk reduction opportunities.

Why this is the AI story enterprises actually need

Most AI governance conversations start at the policy layer. This starts at the data layer — every byte before it moves.

It answers the question no compliance officer can ignore: what business data has left this building through an AI prompt, and who saw it?

White-label for your clients

Deploy the full platform under your own brand. Your clients get their own private gateway, isolated vector store, and executive dashboard. You retain the relationship. We run the infrastructure.

Why dev3lop

A privacy gateway is a data engineering problem before it is an AI problem. Every prompt is a record that has to be inspected, logged, attributed to a user and a provider, and rolled up into reporting someone will actually read. DEV3LOPCOM, LLC is an Austin, Texas data engineering consultancy, and that is the work we have done for years — including pipelines for Nielsen that handled trillions of records. We are 100% onshore, and our founder is a former Tableau Software Professional Services consultant, so the egress dashboard is built by people who have shipped executive reporting before.

The gateway is one layer of a larger agent program. When you want models built into your own products, with routing, cost controls, and fallbacks behind them, that work runs through our LLM integration practice. If you are still deciding which workflows to automate, start with our AI agent consulting. If you are packaging agents for your own customers, pair the gateway with our workspace agent marketplace consulting — tenant isolation, usage metering, and audit trails are the same engineering problem on both sides.

See what is leaving today

Bring us the AI tools your team already uses and the data you are most worried about. We will show you where the gateway sits in front of those providers and which policies to turn on first. Contact us to scope a deployment.

FAQ

Common questions.

What data does the privacy gateway capture?
Every outbound prompt message, system prompt, model used, provider, token counts, estimated cost, gateway action taken (allow/redact/block), and all PII detections. Nothing leaves your log.
Does this work with ChatGPT or does it replace it?
It works alongside any provider including OpenAI. We route OpenAI traffic to its enterprise zero-data-retention API endpoint so your prompts are never used for training. Our gateway adds the audit layer on top: one log of what was sent, redacted, or blocked across every provider you use.
What counts as a PII detection?
SSNs, credit card numbers, API keys, AWS access keys, JWTs, private keys, database connection strings, password literals, internal IP addresses, emails, and phone numbers. Block and redaction policies are configurable.
Can we add our own providers?
Yes, for models you host. Open-source models running on your own infrastructure plug in alongside OpenAI, Anthropic, Gemini, and Grok, and no prompt sent to them ever leaves your network.
Is the white-label option full custom branding?
Yes. Your logo, domain, and color scheme. Clients never see dev3lop branding unless you want them to.
How does prompt aggregation and recommendation work?
The gateway rolls every logged prompt up by provider, cost, and action taken, then turns that into recommendations: a cheaper provider with a comparable privacy posture, lighter models for summarization and batch work, or prompt templates when a high block rate suggests people are pasting sensitive data.
Is this HIPAA or SOC 2 eligible?
The gateway does not make a deployment compliant on its own; eligibility depends on the stack behind it. Whether a hosted AI provider will sign a Business Associate Agreement, and which of its services its SOC 2 reports cover, is set by that provider's enterprise terms, so confirm both with each provider before regulated data goes through it. Self-hosted open-source models on your own infrastructure keep prompts inside your boundary, so HIPAA and SOC 2 follow your own infrastructure's controls. We help you design the provider stack and gateway policies around your compliance posture, and the prompt audit log gives your auditors evidence of what was sent, redacted, and blocked.

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