Context. Agents. Models. Tools.

One thing governs all of it.

PromptOwl governs every context, agent, model, and tool your team runs — who can query what, what needs sign-off first, and a full trail on every decision. Self-hosted, hosted, or under your own brand.

app.promptowl.ai/magic-context

When it breaks, it's rarely the model.
It's what fed it.

A model that answers confidently from an outdated policy hasn't malfunctioned — it did exactly what it was asked, from whatever it was given. Nobody governed what it was given.

For example

A procurement agent approves a vendor against a policy that was revised 14 months ago. Nothing in the retrieval pipeline knew the policy had changed. The agent answered confidently. Nobody signed off. Nothing traced back to a source anyone could check.

Version-Controlled

Only approved, current documents feed your AI. Nothing else gets through.

Attribution

Every answer traceable. Every query reconstructible.

Access

Granular permissions by team, agent, and zone.

So we govern what feeds it.

Answers grounded in truth, not guesses

Most AI platforms only guess — semantic search finds what's similar, not what's approved. PromptOwl checks governed, versioned knowledge first, and falls back to broader retrieval only when nothing governed applies. Your agents cite what's actually true before they ever guess.

CN
contextnest://nodes/api-design
Version: 4 • Checkpoint: 12
RAG
Retrieved: "Policy_V4.pdf"
Source: Page 14 • Score: 0.92

Every decision, controlled and provable

Grounded answers still need a chain of custody. Role-based access decides who can query, approve, and deploy. Nothing reaches production AI without a human sign-off. And every step gets written to a hash-chained record — so if something goes wrong, you can reconstruct exactly what happened and why.

Role-Based Access Control

Who can query, approve, and deploy — at the document, zone, and vault level. Explicit permissions. Nothing inherited by default.

Approval Workflows

Documents require human sign-off before reaching production AI. Draft stays draft.

Cryptographic Audit Trail

SHA-256 hash-chained history. Tamper-evident. Every decision reconstructible.

Build it without an engineering team, ship it where your customers are

Start with a single prompt, or chain steps into a full pipeline with a coordinator agent directing the work — all in a visual builder. No code required to go from a simple FAQ bot to a multi-step process running part of your operations. Then drop it in as a chat bubble, a web widget, a standalone app, or call it directly over the API — wherever your customers already are.

💬 Chat bubble🖥️ Web widget📱 Standalone appPOST /v1/chat
1
User Input
2
Retrieval
Search: "Policy"
3
Generate
Model: GPT-4

Also included

Never locked into one model

Claude, GPT-4o, Gemini, Llama, Mistral, Grok — switch per agent or per task at no extra cost. When a better model ships, you're already there.

AnthropicOpenAIGoogle GeminiMeta Llama

See exactly what your AI told someone

Every interaction is logged — input, output, and what it was retrieved from. Flag a bad answer and trace it back to the source. Track usage, speed, and sentiment across your whole deployment.

Plug into what your team already uses

8,000+ integrations through Zapier — Salesforce, HubSpot, GitHub, Gmail — plus any MCP-compatible tool, all connected to the same governed context.

SalesforceHubSpotGitHubGmail

Built for where it actually matters.

Healthcare. Finance. Legal. Professional services. Regulated industries where AI governance isn't optional.

SOC 2 ComplianceCertified

Certified — audit completed successfully.

HIPAA Compliance

BAAs available. Data handling configured for PHI in context vaults.

GDPR Readiness

Data residency controls, right-to-erasure, and EU deployment available.

Data Residency

Your vault stays where you configure it. We never train public models on your data. Ever.

Cryptographic Integrity

SHA-256 hash-chained history ensures data is tamper-evident and fully reconstructible.

Deployment Modes

ModeDescriptionWho it's for
PromptOwl Free (CLI)Local install, ContextNest technology, open sourceIndividuals
PromptOwl CloudManaged, cloud featuresTeams & Orgs
Self-HostedOn your infrastructure, air-gappedRegulated
White-LabelUnder your brand, customer workspacesAgencies
View our security posture →

Your brand. Your platform.

Build AI agents on PromptOwl, deploy them under your name. Custom domain. Your logo. Your colors. Your Stripe account — you keep 100% of the revenue. Your clients never see PromptOwl.

White-Label Options

  • Custom domain mapping (yourname.com)
  • Full theme customization — logos, colors, CSS
  • Remove all PromptOwl branding
  • Connect your own Stripe account — keep 100% of revenue
  • Multi-client dashboard — manage all clients from one place, each with isolated environments

Your Brand, Your Platform.

Who deploys this

Agencies & Consultants

Build customer-facing agents for clients grounded in their product documentation. Deploy under the agency brand. Keep 100% of client revenue.

Membership Organizations

Build agents using plain English and the visual builder. Upload clinical guidelines or educational frameworks. Deploy expertise without coding. Create new revenue streams from institutional knowledge.

Enterprise Teams

Give business teams tools to build agents while IT maintains centralized governance. Role-based access. Audit trails. Usage monitoring.

Mr. D Math Branded App
Complete white-labeled client app with custom branding, domain, and colors.

How much revenue can you generate?

Connect your own Stripe account and set your own pricing. PromptOwl bills you for underlying credit utilization — everything else is your profit margin. Use our revenue calculator to estimate your earnings.

Calculate your revenue →

Used across healthcare, education, professional services, and financial advisory — where accuracy is non-negotiable.

Emory HealthYMCA Metro AtlantaAGABasilicaMr. D MathMartonomy

The case has been made.

The governance gap isn't a product claim — it's documented, published, and argued independently.

Whitepaper Thumbnail

Whitepaper

The Context Governance Gap: Why Enterprise AI Fails Without a Control Plane

Misha Sulpovar, PromptOwl. The argument for context governance as the binding constraint on enterprise AI quality — with the architecture to close it.

Book Thumbnail

Book

The AI Executive: Harnessing the Ungoverned Machine

Misha Sulpovar. For leaders deploying AI in organizations where accuracy and accountability aren't optional.

ContextNest research paper

Independent Research

ContextNest: Verifiable Context Governance for Autonomous AI Agents

arXiv preprint, 2026. Co-authored with Benn R. Konsynski, Goizueta Business School, Emory University. Empirical results: 97% answer quality, 3× fewer tokens, consistent retrieval.

Frequently asked.

What is PromptOwl?

PromptOwl is one brain to unite your people and your agents, and the governance around it. The brain is ContextNest — persistent, versioned, human-approved memory. PromptOwl governs it along with the agents, RAG pipelines and tools your organization runs: role-based access, approval workflows, cryptographic audit trails, and white-label deployment. If your AI does something consequential, PromptOwl governs who controls it, what it draws from, and what trail it leaves behind.

What's the difference between ContextNest and PromptOwl?

Two names inside one service. ContextNest is the brain — persistent, versioned, human-approved memory that any AI model reads directly. PromptOwl governs it, along with the agents, RAG pipelines and tools your AI runs on: who can access what, which agents can act, and what trail they leave. One account covers both. The ContextNest CLI also runs on its own for anyone who just wants the brain locally, and that stays free.

Do I need PromptOwl to use ContextNest?

Not for a local vault. Install the CLI, build one, and point Claude or Cursor at it over MCP — that stays free, no account required. Everything past a local vault is PromptOwl: agents, RAG, approval workflows, role-based access, the audit trail, and models supplied for you instead of your own keys. Same service, same account — the CLI is where it starts, not a different thing.

Does PromptOwl replace our existing AI tools?

No. PromptOwl governs what your existing AI tools work from. Claude, GPT, Gemini — they all connect to governed context via MCP. PromptOwl is model-agnostic and sits above the model layer, not in place of it.

What does "white-label" mean in practice?

Your clients see your brand — your logo, your domain, your product name. PromptOwl provides the infrastructure. You set the price and collect the subscription via your own Stripe account, keeping 100% of the revenue. PromptOwl bills you for underlying credit utilization. Your clients never see PromptOwl.

Where does our data go?

Where you configure it. Cloud deployments are isolated per organization. Self-hosted deployments run entirely within your infrastructure — no external calls. PromptOwl does not use customer data to train models.

Is PromptOwl HIPAA compliant?

PromptOwl supports HIPAA-compliant deployments with Business Associate Agreements for covered entities. Contact us to discuss your specific requirements.

Can we try it before committing?

Yes. The ContextNest CLI is free forever — install it and start building your vault today, no account required. For PromptOwl, start with 5,000 credits and your choice of model, no card required. Enterprise trials and proof-of-concept engagements available on request.

Ready to govern your AI — or build a product on top of it?

Build Your First Agent

Start free, no card required. Build an agent with the model of your choice in the visual builder.

Book a Demo

We'll walk you through the governance architecture, answer your compliance questions, and scope the deployment.

Book a demo →Typically 30 minutes. No sales pitch — just the product.

Explore the Reseller Program

See how agencies and organizations are packaging PromptOwl for their clients. Deployed under your own brand.