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Secure multi-cloud AI infrastructure for European companies

Kishin Technologies helps organizations move from scattered AI experiments to governed, observable, cost-controlled production AI platforms across AWS, Azure, GCP, and private infrastructure.

Built by a senior cloud architect with 20 years of experience across networking, systems, DevOps, cloud architecture, automation, and AI infrastructure.

01 — The Problem

AI adoption is moving faster than infrastructure can control

Across many companies, AI starts the same way: a few experiments, a few tools, and a few teams moving quickly.

Then the risks appear.

Employees use different AI tools without central visibility. Sensitive data may leave controlled environments. Costs become difficult to attribute. Product teams add AI features without observability or evaluation. Cloud teams are asked to support AI without a reference architecture.

The result is not a lack of AI interest. The result is a lack of secure production infrastructure.

Kishin Technologies helps address

  • Uncontrolled AI tool usage
  • Data leakage risk
  • Unclear model access policies
  • No central logging or audit trail
  • No cost visibility by team, user, or application
  • Lack of AI gateway or control plane
  • Fragmented AWS, Azure, GCP, and private infrastructure
  • Weak readiness for GDPR and EU AI Act expectations
  • AI pilots that cannot safely move into production

02 — Positioning

From AI experiments to governed production platforms

Kishin Technologies designs and builds the infrastructure layer companies need to adopt AI safely.

This includes AI gateways, model access control, secure RAG foundations, private inference options, observability, cost controls, and technical governance patterns.

The approach is cloud-native, vendor-neutral, and production-focused. AWS, Azure, GCP, and private infrastructure are treated as deployment options, not as strategy constraints.

03 — Services

Productized services for secure AI adoption

Start with a focused readiness sprint, then move into implementation when the architecture is clear.

First Engagement

AI Platform Readiness Sprint

A 1–2 week technical assessment that maps your current AI usage, cloud environment, risks, architecture options, and implementation roadmap.

Best for:

Companies preparing to move from AI pilots to production.

Explore the Readiness Sprint
Implementation

Multi-Cloud AI Gateway MVP

A 2–4 week build of a secure AI gateway for controlled access to LLMs across selected providers, built on a custom LiteLLM deployment with authentication, logging, quotas, model routing, and cost visibility.

Best for:

Companies that need a central AI access layer.

View Services
Implementation

Secure RAG Platform Foundation

A production-ready foundation for internal knowledge assistants using secure document ingestion, retrieval, access control, observability, and cloud-native deployment.

Best for:

Companies building AI assistants on private business knowledge.

View Services

04 — Architecture

The core layers of a production AI platform

Kishin Technologies helps design and implement the technical foundations behind safe AI adoption.

  • AI gateways and LLM control planes
  • Model routing and provider abstraction
  • Authentication and authorization
  • Prompt and response logging
  • Usage quotas and cost tracking
  • Secure RAG pipelines
  • Private and hybrid inference
  • Observability and evaluation
  • Data protection and redaction
  • Infrastructure as code
  • Governance-ready architecture

05 — Why Kishin Technologies

Senior cloud architecture meets practical AI infrastructure

Kishin Technologies is built for companies that need more than AI ideas. The focus is on architecture, implementation, and operational control.

  • 20 years of infrastructure, networking, systems, DevOps, and cloud experience
  • Deep working knowledge of AWS, Azure, and GCP
  • Hands-on AI infrastructure experimentation with local and cloud inference
  • Practical understanding of APIs, gateways, identity, logging, cost control, and deployment
  • Strong focus on European security, privacy, and compliance expectations
  • Vendor-neutral approach across hyperscalers and private infrastructure
  • Reusable technical blueprints, not one-off consulting documents

06 — European Context

Built for European companies with real security and governance constraints

European organizations need AI infrastructure that respects data boundaries, procurement realities, cloud diversity, and regulatory expectations. Kishin Technologies helps teams design systems that are ready for serious internal review.

GDPR-aware architecture
EU AI Act readiness considerations
Controlled model access
Auditability
Data minimization
Secure cloud integration
Private or sovereign deployment options where justified

07 — Start Here

Start with an AI Platform Readiness Sprint

Before building an AI platform, companies need to understand their current risk, cloud readiness, cost exposure, and architecture options. The AI Platform Readiness Sprint gives leadership and technical teams a clear roadmap.

Sprint Deliverables

  • Current-state assessment
  • AI usage and risk map
  • Cloud architecture review
  • Security and governance gap analysis
  • Cost control recommendations
  • Multi-cloud architecture options
  • Prioritized implementation roadmap

Free Resource

AI Platform Readiness Checklist for European Companies

A practical checklist for assessing whether your organization is ready to move from AI experiments to secure production AI infrastructure.

Download the Checklist

Ready to move AI into production safely?

Kishin Technologies helps you design and build the infrastructure foundation for governed AI adoption.