What kind of AI solutions does Rakri AI build?

We build four types of AI solutions: Custom AI Systems (end-to-end), Self-Hosted Private Models (fine-tuned LLMs on your infrastructure), AI SaaS Applications (full product development), and AI Workflow Automation (automating repetitive business processes).

Do I own the code and models Rakri AI builds?

Yes, 100%. Everything we build — code, models, data pipelines — is fully owned by you. No vendor lock-in, no recurring license fees for what we build.

How long does a typical AI project take?

Most projects are delivered within 3-6 weeks, depending on complexity. We scope honestly upfront so there are no surprises.

Is my data kept private?

Absolutely. We specialize in self-hosted and private AI deployments. Your data never leaves your infrastructure unless you choose otherwise.

Case Studies / Mijn AI Omgeving

The Suri Ecosystem — A Private, Multi-Tenant AI Infrastructure for Mijn AI Omgeving

Client

Mijn AI Omgeving, Netherlands

Context

Mijn AI Omgeving needed more than a single AI feature — they needed a foundation: private AI infrastructure they fully control, deployable across multiple product lines without rebuilding the groundwork each time.

The problem

Standing up isolated, one-off AI integrations per product doesn't scale, and for a Netherlands-based company operating under strict European data-handling expectations, infrastructure built ad hoc through a portal isn't auditable or reproducible.

Approach

We designed and built the Suri ecosystem as a shared foundation other products are built on top of, not a single application.

Four independently-scalable Next.js applications in a Turborepo monorepo with a shared component library and domain-level multi-tenancy.
The entire cloud footprint provisioned as code — 16 modular Azure Bicep files covering Container Apps, Azure AI Search, Cosmos DB, Key Vault, Blob Storage, Azure SQL, Application Insights, and Container Registry — zero manual portal configuration.
Production workloads run on Kubernetes (Azure AKS), which we deploy and operate directly, including pod scaling, rollouts, and cluster-level operations.
GitHub Actions CI/CD automates build, test, and deployment of both the Next.js and .NET 8 services across development, staging, and production.

GDPR-compliant architecture — data residency, controlled access, no unauthorized third-party data exposure — was a design constraint from day one, not a feature bolted on later.

Architecture

Turborepo monorepo→4 Next.js applications→Shared component library

.NET 8 services→Azure AKS (Kubernetes)→Azure Container Apps

16 Bicep IaC modules→GitHub Actions CI/CD→Dev / Staging / Production

Outcome

Independently-scalable SaaS applications

Modular Bicep IaC files, zero manual config

AKS

Production Kubernetes operated directly

Two flagship products run on top of this foundation today — a RAG-based support copilot and an autonomous content publishing engine — each documented as its own case study.

Stack

Next.js (Turborepo monorepo).NET 8Kubernetes (Azure AKS)Azure Bicep IaCAzure Container AppsAzure AI SearchCosmos DBKey VaultGitHub Actions CI/CD

Metrics reported by client and Rakri AI engineering logs as of the current engagement period.

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Approach

We designed and built the Suri ecosystem as a shared foundation other products are built on top of, not a single application.

Four independently-scalable Next.js applications in a Turborepo monorepo with a shared component library and domain-level multi-tenancy.

The entire cloud footprint provisioned as code — 16 modular Azure Bicep files covering Container Apps, Azure AI Search, Cosmos DB, Key Vault, Blob Storage, Azure SQL, Application Insights, and Container Registry — zero manual portal configuration.

Production workloads run on Kubernetes (Azure AKS), which we deploy and operate directly, including pod scaling, rollouts, and cluster-level operations.

GitHub Actions CI/CD automates build, test, and deployment of both the Next.js and .NET 8 services across development, staging, and production.