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.
Try the real onboarding flow right here. It loads the live PromptOwl app.
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A model that answers confidently from an outdated policy hasn't malfunctioned — it did exactly what it was asked, from whatever it was given.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
With review on, 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.
Shadow AI is already inside the building.
Think about what's happening in your organization right now. People are pasting company material into personal ChatGPT, Claude, and Copilot accounts, holding onto context with browser tabs and a chat history nobody else can see. It works, sort of. It also means every useful answer lives and dies in a private conversation — the person learns, the company doesn't.
Meanwhile the documents your AI can see go stale without anyone noticing. It answers from last year's policy with this year's confidence, and there's no way to tell the difference until it's wrong in front of a client.
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.
Every decision, controlled and on the record
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.
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.
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.
Built for where it actually matters.
Healthcare. Finance. Legal. Professional services. Regulated industries where AI governance isn't optional.
SOC 2 and HIPAA controls
Every plan runs on the same SOC 2 and HIPAA controls. SOC 2 certification and reporting and a HIPAA BAA come with Enterprise.
HIPAA BAA on Enterprise
A Business Associate Agreement comes with Enterprise, for teams that handle protected health information.
GDPR Readiness
Data residency controls and right-to-erasure.
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
| Mode | Description | Who it's for |
|---|---|---|
| ContextNest CLI | Local install, open source (AGPL-3.0) | Individuals |
| PromptOwl Cloud | Managed, cloud features | Teams & Orgs |
| Self-Hosted | On your infrastructure | Regulated |
| White-Label | Under your brand, customer workspaces | Agencies |
Your brand. Your platform.
Build AI agents on PromptOwl, deploy them under your name. Custom domain. Your logo. Your colors. Connect your own Stripe account and set your own prices. Clients pay you directly. 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 and set your own prices
- ✓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. Clients pay you directly.
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.
How you get paid
Connect your own Stripe account and set your own prices. Clients pay you directly. PromptOwl bills you for the credits your agents use.
What this means Monday morning.
You keep using Claude, ChatGPT, and Cursor exactly like you do now — just connect them to ContextNest, and PromptOwl takes it from there.
Answers you can trace.
Every answer comes with its source, not a confident guess. Click through to the exact approved document it drew from.
You stay in charge.
The AI drafts, you approve. Nothing acts on sensitive context without a human in the loop — decisions route to the right person first.
Never start over.
Switch to a better AI model the day it ships, without re-teaching it your business. Your context is portable — the model is interchangeable.
It keeps getting smarter.
Every correction makes the system smarter — permanently, not just for that conversation. Nothing walks out the door when an employee does.
Everyone and every agent works from the same brain.
Update a policy once, and it's live immediately — sales, support, legal, someone's first day, and any agent reading from the vault. No version drift between departments or bots, no waiting for someone to loop everyone in.
See the difference context makes.
Claude Sonnet 5, asked the same question twice. The only variable is what it can see.
“A few real threads worth posting on today: the tracking-loss story — the LinkedIn campaign that surfaced a 99% click-tracking loss (527 clicks, 6 recorded sessions) after the Next.js migration — and ContextNest as an upcoming feature, once the journalist program is confirmed.”
“Checked the Nest. Best pick: the ‘Four Rulebooks for Enterprise AI’ post. It went live Aug 4, and per the content log its social push still has open items to finish — so today's the day.”
Six months old — never meant to go public
Wrong — ContextNest shipped in February
Shipped last week — confirmed live, promotion still open
ContextNest is what your AI knows. PromptOwl is what it can do — and who controls it.
Agents that act on your context. Tools that connect to your stack. Role-based access and a cryptographic audit trail when your org needs it — one governed system, not just a smarter chat window.
The case has been made.
The governance gap is documented, published and argued independently.
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
The AI Executive: Harnessing the Ungoverned Machine
Misha Sulpovar. For leaders deploying AI in organizations where accuracy and accountability aren't optional.
Research Preprint
ContextNest: Verifiable Context Governance for Autonomous AI Agents
arXiv preprint, 2026. Co-authored with Benn R. Konsynski, Goizueta Business School, Emory University. Results (stale-version test, small corpus): 97% answer pass rate vs 90–93% for BM25, at about a third of the input tokens.
Everything you need to evaluate PromptOwl.
For enterprise buyers
For resellers & agencies
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 open-source 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, and that stays free. Everything past a local vault is PromptOwl: agents, RAG, approval workflows, role-based access, the audit trail, and models supplied for you. Same service, same account. The CLI is where it starts.
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.
What does "white-label" mean in practice?
Your clients see your brand: your logo, your domain, your product name. PromptOwl provides the infrastructure. Connect your own Stripe account and set your own prices. Clients pay you directly. PromptOwl bills you for the credits your agents use. Your clients never see PromptOwl.
Where does our data go?
Where you configure it. Cloud deployments are isolated per organization. Self-hosted deployments of the governed knowledge layer run within your infrastructure. PromptOwl does not use customer data to train models.
Can PromptOwl be used with protected health information?
Yes, on Enterprise. Every plan runs on the same SOC 2 and HIPAA controls. SOC 2 certification and reporting and a HIPAA BAA come with Enterprise. Talk to us about your specific requirements.
Can we try it before committing?
Yes. The ContextNest CLI and desktop app are free. Install one and start building your vault today. PromptOwl Free covers up to 10 users with 1,000 credits per user each month and your choice of model, no card required. Paid plans are free for a month. A trial can be extended up to six months on request.
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.
Get a demo
We'll walk you through the governance architecture, answer your compliance questions, and scope the deployment.
Explore the Reseller Program
See how agencies and organizations are packaging PromptOwl for their clients. Deployed under your own brand.