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Design Partner Program →Bring the AI in. Make it your own.
Deploy a complete AI foundation into your cloud in 30 minutes. Connect your data, build agents for your workflows, shape AI to how your business actually works — without the $500K build.
Latest · Introducing Corral AI: Enterprise AI in Your Cloud →The product · in three moves
Phase 01 · Deploy
One click. Your cloud.Running.
Deploy from Azure Marketplace directly into your tenant. Your infrastructure, your network, your compliance boundary.
- ~30 minutes from click to a working instance
- Entra ID native — SSO and RBAC from day one
- Runs in your Azure subscription, not ours
Phase 02 · Shape it
Connect your data.Build your agents.
Shape AI to how your business actually operates — not a generic chatbot. Your data sources, your workflows, your language.
- Data sources behind private networks
- Visual agent builder + sandbox
- IT approval gates and permission scoping
Corral · Agent BuilderSupport Agent
scope: read:tickets · write:drafts
Phase 03 · It’s yours
Configure it.Extend it.Build a product on it.
Go as deep as you want. Ops teams configure agents. Developers extend with custom code. Product companies ship entire products on the foundation.
- API, MCP, OpenAPI — override anything
- White-label or embed — your surface, our foundation
- Every interaction governed and auditable
your positioning
Your product. Your surface. Your AI.
Corral runs underneath. Your customers never need to know.
02 · The Gap
The model works. Getting it to work your way is the hard part.
Enterprise AI projects fail at 50%. Not because the intelligence isn't there — because the system around it is incomplete. Skip any single layer and you're stuck building infrastructure instead of building your AI.
The model is an API key away. That was never the hard part.
The hard part is wiring it all together — the right model with the right data and the right tools at the right time — and doing it safely, in a way your security team will approve and your users will actually adopt.
Today, getting AI that works the way your business works costs $500K+ and takes 6-12 months before you can even start customizing. We think that's broken.
Read the thesisWhat you're trying to ship
Your AI.
What everyone else sells as "AI"
The model.
Skip any one layer — stuck building infrastructure instead of building your AI.
03 · Three Paths
Three ways to make AI yours. Only one that works.
Build it yourself, pay someone $500K+ to build it for you, or deploy a foundation that's already built — and start shaping it to your business on day one.
| SI Engagement | Internal Build | Corral | |
|---|---|---|---|
| Cost | $500K – $2M+ | $500K – $1M+ in eng time | Platform subscription |
| Timeline | 6 – 12 months | 6 – 12 months | 30 minutes to deploy |
| Outcome | Someone else’s vision of your AI. | 6-12 months before you make it yours. | Start shaping AI on day one. |
| Week 2 | Still in procurement. | Still building auth. | Building agents for your workflows. |
Cost
$500K – $2M+
$500K – $1M+ in eng time
Platform subscription
Timeline
6 – 12 months
6 – 12 months
30 minutes to deploy
Outcome
Someone else’s vision of your AI.
6-12 months before you make it yours.
Start shaping AI on day one.
Week 2
Still in procurement.
Still building auth.
Building agents for your workflows.
If your engineers would rather ship the AI that makes your business unique than rebuild the seven layers everyone else is rebuilding — keep reading. Or skip ahead.
04 · Control & Sovereignty
Control what AI does. Own where it runs.
The architecture that lets you customize AI safely is the same architecture that meets your regulators. Security and sovereignty are two consequences of one design decision.
Part A · Control what AI does
Agents are a new type of user. And user behavior has always been the hard security problem.
Agents can be manipulated through their inputs: prompt injections from emails, tainted reasoning from web content, chained tool calls that propagate untrusted data into trusted systems.
Corral's Cumulative Restrictions Framework tracks what an agent has been exposed to and constrains what it can do next. It's not a bolt-on filter — it's the architecture. That's what makes safe extensibility possible.
Hidden injections are surfaced as visible text requiring human review.
// agent exposed to untrusted content
$ agent.read("inbox/support-ticket-882")
→ taint: tracked
→ next_action: issue_refund()
→ gate: human approval required
// CRF applied, not a policy check
An agent reads an email, webpage, or file from an untrusted source.
Hidden injections are surfaced as visible text requiring human review.
Subsequent actions are restricted — elevated approval, scoped tools, human-in-the-loop.
Every decision logged with full context. Immutable. Queryable.
Regulatory reality
GDPR
EU data protection
EU AI Act
EU AI governance
HIPAA
US healthcare
FedRAMP
US government
SOC 2
Controls attestation
Data residency requirements vary by region, contract, and jurisdiction. On-tenant deployment is the architecture that meets them by design — not by policy amendment.
Part B · Own where it runs
Control isn't a preference. It's becoming law.
The EU AI Act. GDPR. HIPAA. FedRAMP. Sector-specific rules in healthcare, finance, government, and education. Control over where your AI runs isn't a nice-to-have anymore — it's a compliance line item.
Your AI runs in your Azure tenant. Your data never leaves your jurisdiction. Corral can't access it — not because we pinky-promise, but because we architected it that way from the start.
Your data never leaves your tenant. Not by policy — by architecture.
05 · Who It’s For
Built for the people who actually ship AI inside companies.
Not just developers. Not just the CISO. The ops manager automating workflows. The IT lead governing what everyone else is building. The SI delivering AI to their clients. The product company shipping AI features instead of AI plumbing.
Inside your company —
Ops & Product Teams
Ship AI without a six-month procurement cycle.
Working agents, shaped to your workflows. When legal asks about residency, the answer is architectural. When the CFO asks about cost, it’s a marketplace subscription — not a capital project.
See the use caseIT & Security Teams
Govern everything. Block nothing.
Full visibility into every agent, every action, every data flow. Entra ID native. Sandbox-to-production promotion. The governance layer your org needs before anyone ships AI safely.
See the use caseDevelopers & Engineers
Stop rebuilding the stack. Start building what’s yours.
API-first. MCP and OpenAPI extension points. Replaceable UI. Override anything. Every hour of your time goes into the AI that makes your company unique — not rebuilding the seven layers everyone else is rebuilding.
See the use caseAnd the ones building AI for others —
Service Providers & SIs
You deliver the 20% that wins the deal.
Corral is the 80% foundation you can extend into any client tenant. Your IP, their cloud, your margin. White-label ready. Repeatable deployments so you stop rebuilding the foundation for every engagement.
See the use caseProduct Companies
Build a product. Not a platform.
Orchestration, security, governance, infrastructure — invisible underneath your product. Multi-tenant SaaS or per-customer deployment, your choice. Your team focuses on the domain expertise that makes your product unique.
See the use case06 · What You Get
Everything you need to make it yours.
Six capability layers. One foundation. Every one is a chapter on its own page — here’s the shape of the whole thing.
User Surfaces
Where your people meet AI.
- The Hub — per-user assistant with file system + code execution
- Embeddable widgets for customer-facing surfaces
- Teams, Slack, and API access for custom entry points
you → Summarize Q4 pipeline
hub → 14 opps · $2.3M weighted · 3 slipping
Agent Builder
Configure, test, ship — with IT in the loop.
- Visual configuration — scope, permissions, behavior
- Sandbox testing with eval suites
- Publish flow with admin approval gates
agent "Support" {
scope = ["read:tickets"]
handoff = "human if refund > 100"
}
Security & Governance
Control what AI does, not just what it sees.
- Cumulative Restrictions Framework
- Per-agent, per-user, per-source permission scoping
- Immutable audit trail for every action
untrusted: inbox/*
on_taint : gate("human_review")
log : immutable
Connectors & Integrations
Wire AI into the systems where your business runs.
- Azure AI Search, Cognitive Services, OpenAI deployments
- MCP and OpenAPI extension points
- Private-network access — no public egress
→ azure.search · indexed, scoped
→ mcp://crm · private net
→ openai · your deployment
Admin & Observability
See everything. Govern everything.
- Real-time monitoring — behavior, performance, cost
- Role-based access via Entra ID
- Central catalog — version and manage your fleet
agents 14
events/m 2.1k
cost/day $42
alerts 0
Deployment & Infrastructure
One-click into your cloud.
- Deploy from Azure Marketplace into your tenant
- Runs on your infrastructure — managed by us
- AWS and GCP coming 2026
$ az marketplace corral deploy --tenant=acme
✓ deployed in 28m · running in your tenant
Bring the AI in. Make it yours. Today.
30 minutes from Azure Marketplace to a working instance in your cloud. Connect your data, build agents for your workflows, and start shaping AI to your business — without the $500K build.