Corral

Why Corral

The complete AI foundation — deployed into your Azure tenant, maintained by us, shaped by you. Here's why that matters.

Enterprise AI has a deployment problem. Not a capability problem.

The models work. GPT-4, Claude, Gemini, Llama — intelligence is commodity. You can have a working AI prototype in an afternoon.

Getting it into production — shaped to how your business actually works, inside your compliance boundary, connected to your systems? That takes 6-12 months and costs $500K+. Not because the AI is hard. Because the system around it is hard: authentication, model orchestration, guardrails, tool integration, user interfaces, governance, compliance, deployment architecture. Seven layers, all interdependent. Skip any one and you're stuck building infrastructure instead of building your AI.

50% of enterprise AI projects fail. Not because the AI doesn't work — because the system around it is incomplete, so nobody ever gets to the part where AI delivers value for their specific business.

The model is an API key away. That was never the hard part.

Your AI should work the way your business works. Getting there shouldn't cost $500K.

A model gateway doesn't ship AI. A guardrails layer doesn't ship AI. A chat widget doesn't ship AI. What ships AI is the complete system: models connected to tools connected to data, surfaced through interfaces people actually use, governed by controls IT actually trusts, deployed in an architecture that passes compliance. And then shaped to how your business actually operates.

You can't customize something that's half-built. You're too busy finishing the foundation to start shaping AI to your workflows, your data, your business logic. The complete stack is what creates the surface area for making it yours.

Anyone can build a piece of this. The complete, cohesive, maintained system — that's what's hard. That's what costs $500K and takes a year. And that's what Corral ships in 30 minutes from Azure Marketplace — so you can start making it yours on day one, not month six.

Three ways to make AI yours. Only one that scales.

Cost

SI Engagement

$500K – $2M+

Internal Build

$500K – $1M+ in eng time

Corral

Platform subscription

Timeline

SI Engagement

6 – 12 months

Internal Build

6 – 12 months

Corral

30 minutes to deploy

Outcome

SI Engagement

Someone else's vision of your AI, at $500K+.

Internal Build

6-12 months before you can start making it yours.

Corral

Start shaping AI to your business on day one.

Maintenance

SI Engagement

Back to the SI every time something changes.

Internal Build

Your team maintains it forever.

Corral

Managed. Updates ship continuously.

Security

SI Engagement

Bolted on. Varies by engagement.

Internal Build

Only as good as your team's security expertise.

Corral

Built into the architecture. CRF governs across every layer.

Extensibility

SI Engagement

Locked into the SI's architecture.

Internal Build

Fully custom, but fully your burden.

Corral

API-first. MCP/OpenAPI. Override anything.

Week 2

SI Engagement

Still in procurement.

Internal Build

Still building auth.

Corral

Building agents for your workflows.

If you have the team, the time, and the appetite to maintain a complete AI stack while the landscape shifts weekly — build it yourself. Seriously. Some companies should.

But if you'd rather spend your engineering time on the AI that makes your business unique instead of rebuilding the same seven layers everyone else is rebuilding — that's what Corral is for. The foundation is ours. What you build on it is yours.

Ready to see it? Get in touch

You've been building this yourself. We know. So have we.

You're the engineer (or the team of one) who's been wiring together auth, model routing, guardrails, a chat UI, an admin console, observability, and deployment infrastructure. You're good at it. And 80% of your time goes to plumbing that every company rebuilds from scratch.

Corral doesn't replace you. It gives you your time back. Every hour you spend on the foundation is an hour you're not spending on the AI that makes your company unique.

The platform is extensible down to the code level — API-first, MCP and OpenAPI extension points, replaceable UI components. Build on top of it. Override pieces of it. Extend it with your own business logic, custom tools, and integrations. You're not locked out. You're unlocked.

On day one, an internal build feels like ownership. On day 90, it feels like maintenance. Corral's ownership is durable — you keep shaping your AI while the foundation stays maintained underneath.

Control isn't optional. It's becoming law.

GDPR. The EU AI Act. HIPAA. FedRAMP. Sector-specific regulations in healthcare, finance, government, and education. Data residency requirements that vary by region, contract, and jurisdiction. This isn't slowing down. The EU is actively pushing for technology sovereignty. Global volatility is accelerating the demand for infrastructure that doesn't depend on a foreign vendor's cloud.

Healthcare

HIPAA, patient data residency, PHI protection

Government & Education

FedRAMP, data sovereignty, public sector procurement requirements

Financial Services

Regulatory data handling, audit trail requirements, cross-border data restrictions

EU-based Enterprises

GDPR, EU AI Act, digital sovereignty mandates

Contractual

Any organization with data residency clauses

On-tenant deployment isn't just our architecture — it's the architecture that survives regulatory and geopolitical shifts. Your AI, your cloud, your jurisdiction. SaaS means you're renting someone else's AI. On-tenant means it's genuinely yours.

Your data never leaves your tenant. Not by policy — by architecture. We can't access it.

Need help or guidance?

We're here. Contact us for any reason — whether you're evaluating Corral, planning a deployment, or just have questions about enterprise AI.