4.9/5 on Clutch — 13 verified reviews

Cloud Architecture Design Services

We design cloud architecture on AWS, Azure, and Google Cloud that keeps AI workloads fast, secure, and cost-efficient. For Diesel Laptops, that's a self-hosted AWS environment cutting technician search time by 85% across 160,000+ records, one of 51 AI-powered products shipped across 25+ industries.

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TRUSTED BY ENTERPRISES

Your AI models are only as reliable as the cloud they run on. When architecture is an afterthought, costs climb, deployments stall, and workloads buckle under real traffic. We design the foundation first.

Our Core capabilities

  • Secure landing zones built on AWS, Azure, or Google Cloud Platform.

  • Multi-cloud and hybrid designs that avoid costly vendor lock-in entirely.

  • Well-Architected Framework reviews that catch risks well before you deploy.

  • Infrastructure as Code so your environments rebuild in minutes, not weeks.

  • Cost-optimized architecture that keeps your monthly cloud bill predictable.

  • Disaster recovery designed to keep AI workloads always running.

IN THE NEWS

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51

AI-powered products

Top-Rated

AI development company

94%

Client retention rate

PhD-Level

Expert Team

Cloud Architecture Design Services, Six Capabilities

Every workload has a right home. Our cloud architecture design services map yours across AWS, Microsoft Azure, and Google Cloud Platform, scored against the Well-Architected Framework's six pillars, then built into the foundation, guardrails, and automation that keep it fast, secure, and reliably affordable.

Landing Zone & Cloud Foundation Design

Most cloud problems start at the foundation. We design a secure landing zone with serverless-ready networking and identity, before a single workload ships.

Account & Network Setup

We set up your cloud accounts, roles, and networks so early risk stays low.

Serverless-Ready Design

Your AI runs on demand, and you pay only for what it actually uses.

Not Sure Your Cloud Can Handle What's Coming?

Most teams only find their architecture limits during an outage or a surprise bill. A call surfaces the risks before they cost you.

Architecture Proven in Production

Diesel Laptops

Fleet technicians at Diesel Laptops lost more time searching records than fixing trucks. Kodexo built an agentic search system across 160,000 technical records, self-hosted inside the client's own AWS VPC for data control. Technicians now find the right part in seconds, an 85% drop in lookup time, at an Inc. 5000 company.

85%

Faster Lookup

160,000

Records Searched

AWS VPC

Self-Hosted

Diesel Laptop

Extensiv

Extensiv's operations team waited on engineers for every data question they had. We built an agentic system on LangGraph that reads plain-English questions and answers them straight from their own operational database. This Inc. 5000 logistics company now self-serves at 90%+ accuracy across 207 tables and 4 databases, with no engineering ticket required anymore.

90%+

SQL Accuracy

207

Tables

04

Databases

Extensiv
PokeMon Cards

Pokemon Card

The trading-card market moved faster than manual tracking could follow, so deals vanished before collectors acted. Kodexo Labs built an ETL pipeline on Apache Airflow and LangChain processing 260,000+ daily data points.

50,000+

Users

30+

Countries

$5M+

Revenue

Pokemon Cards
DRAG

What Clients Say About The Team

Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.

Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham

MD President, Brigham and Associates, Inc.

WATCH VIDEO

  • HIPAA-compliant cloud architecture
    Hybrid on-premise deployment
    Protected health data isolation
    Compliance-first from day one

Cloud Architecture Built for the Way Your Industry Operates

Every industry runs different workloads, and each one breaks in its own way under load. A hospital's compliance needs are not a warehouse's scale needs. We design the architecture around how your specific sector actually operates today.

Your Next AI Workload Deserves Architecture That Was Planned First

The difference between a cloud bill that scales and one that spirals is usually a decision made early. A short conversation surfaces where FinOps, resilience, and scale need attention before you ever commit.

Compliance and Cloud Security Architected In From Day One

Compliance cannot be bolted on after launch. When auditors come knocking, the architecture either holds or it does not. We design cloud security, access controls, and data residency directly into the foundation. SmartMedHx has run HIPAA-compliant from day one, across 42 of its providers.

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HIPAA

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SOC TYPE 2

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ISO 27001

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GDPR

PCI-DSS

PCI-DSS

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CCPA

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NIST AI RMF

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FERPA

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COPPA

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EU AI Act

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HIPAA

SOC TYPE 2 Logo

SOC TYPE 2

iso-27001

ISO 27001

gdpr-compliance

GDPR

PCI-DSS

PCI-DSS

ccpa-compliance

CCPA

NIST AI RMF Logo

NIST AI RMF

FERPA Logo

FERPA

COPPA Logo

COPPA

EU AI Act Logo

EU AI Act

Why Growing Companies Choose Kodexo Labs for Cloud Architecture Design Services

Plenty of teams can spin up a cloud account. Far fewer design infrastructure that stays fast, affordable, and reliable once real AI traffic hits it. Here is what separates the architecture we ship for you.

data-collection

Real-Time Data, Not Batch

Dynasty Pulse ran live calls on data fifteen minutes stale. We rebuilt the pipeline on a real-time AWS event design and latency fell 98%. Waits became thirty seconds, so your team acts now.

Cost-Optimized From Day One

Cloud bills double before anyone sees it. We build FinOps into the design on day one, tagging and right-sizing each AWS resource. Zendrop cut launch costs 50% and shipped its products 45% faster.

Monitoring That Finds Problems

Most systems flag a break only after users feel it. We design cloud-native monitoring across Azure and AWS. For Vital Connect, that layer tripled early detection and cut time to diagnosis by 40%.

Human Review

Reviews Before We Build

Rushing to build before a review is how costly rework starts. We run your design through the AWS Well-Architected Framework first. That is how we have now shipped 51 products across 25+ industries.

Design the Architecture Before You Scale It

Get the foundation right, and cost, security, uptime, and scale get easier.Bring your workload and budget, we'll map where AWS, Azure, or Google Cloud fits before you commit.

Recognized, Ranked, Verified

These rankings come from independent review platforms, not our marketing. Clutch and Upwork audit real client engagements before awarding them, so every badge below traces to verified work.

Top Clutch Artificial Intelligence Company 2024 Award
Top Artificial Intelligence Companies 2022 by TopAppFirms
Clutch Spring Champion 2024
Top Clutch Machine Learning Company San Francisco 2026
Top Clutch Chatbot Company 2024 Award
Top Artificial Intelligence Company
Top AI Development Company by Selected Firms
Upwork Top 1% · Top Rated
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026
Top Clutch Artificial Intelligence Company 2024 Award
Top Artificial Intelligence Companies 2022 by TopAppFirms
Clutch Spring Champion 2024
Top Clutch Machine Learning Company San Francisco 2026
Top Clutch Chatbot Company 2024 Award
Top Artificial Intelligence Company
Top AI Development Company by Selected Firms
Upwork Top 1% · Top Rated
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026

Overcoming Cloud Architecture Design Services Challenges

Cloud architecture rarely fails on day one. It fails months later, when bills balloon, a migration stalls, or traffic spikes and nothing holds. These are the five failure modes we design against before your first workload ever ships to production.

Problem

Cloud Costs Spiral Unchecked

Nobody tags resources, idle instances run overnight, and the monthly bill climbs quietly until finance asks a question no one can answer.

Solution

  • We tag and right-size every resource by team, so spend never hides again.

  • FinOps guardrails flag idle compute and cut waste before your next invoice arrives.

  • Zendrop cut launch costs fifty percent because savings were designed into the foundation.

Problem

Legacy Migrations Stall Mid-Project

A lift-and-shift starts fast, then hits undocumented dependencies and stalls halfway, leaving half your systems in the old environment and half stranded.

Solution

  • First we map every dependency, then migrate in small, reversible, tested increments only.

  • Terraform defines each environment as code, so any failed step rolls back cleanly.

  • A Well-Architected Framework review catches migration risks on paper before they reach production.

Problem

Multi-Cloud Sprawl Creates Risk

Teams open accounts across AWS, Azure, and Google Cloud with no shared guardrails, and every project widens the gap where security breaks.

Solution

  • We enforce one governance layer with shared identity, policy, and tagging across clouds.

  • Terraform codifies your guardrails once, so every account inherits the same security baseline.

  • You keep workloads portable across providers, without a single vendor holding you hostage.

Problem

Architecture Fails Under Load

The design works fine in a demo, then a real traffic spike arrives, latency climbs, requests time out, and everything falls over.

Solution

  • We load-test the design against your real peak traffic before a single deploy.

  • Auto-scaling adds capacity the moment demand rises, then releases it once traffic calms.

  • If one region drops, failover reroutes traffic in seconds, so users notice nothing.

Problem

Cloud Costs Spiral Unchecked

Nobody tags resources, idle instances run overnight, and the monthly bill climbs quietly until finance asks a question no one can answer.

Solution

  • We tag and right-size every resource by team, so spend never hides again.

  • FinOps guardrails flag idle compute and cut waste before your next invoice arrives.

  • Zendrop cut launch costs fifty percent because savings were designed into the foundation.

Problem

Legacy Migrations Stall Mid-Project

A lift-and-shift starts fast, then hits undocumented dependencies and stalls halfway, leaving half your systems in the old environment and half stranded.

Solution

  • First we map every dependency, then migrate in small, reversible, tested increments only.

  • Terraform defines each environment as code, so any failed step rolls back cleanly.

  • A Well-Architected Framework review catches migration risks on paper before they reach production.

Problem

Multi-Cloud Sprawl Creates Risk

Teams open accounts across AWS, Azure, and Google Cloud with no shared guardrails, and every project widens the gap where security breaks.

Solution

  • We enforce one governance layer with shared identity, policy, and tagging across clouds.

  • Terraform codifies your guardrails once, so every account inherits the same security baseline.

  • You keep workloads portable across providers, without a single vendor holding you hostage.

Problem

Architecture Fails Under Load

The design works fine in a demo, then a real traffic spike arrives, latency climbs, requests time out, and everything falls over.

Solution

  • We load-test the design against your real peak traffic before a single deploy.

  • Auto-scaling adds capacity the moment demand rises, then releases it once traffic calms.

  • If one region drops, failover reroutes traffic in seconds, so users notice nothing.

The Stack Behind Your Cloud Architecture

We design on proven, vendor-neutral tools across AWS, Azure, and Google Cloud, chosen to fit your workloads.

Python
Python

Cloud Architecture Design, Delivered in Five Phases

1

Cloud Assessment

We start by mapping your current workloads, data flows, and growth targets across AWS, Azure, and Google Cloud. No design work happens until we understand what you run today and where you are heading next.

2

Landing Zone Design

Next we design the landing zone: accounts, networks, identity, and guardrails that keep everything secure and organized from the start. This is where your architecture gets its shape, reviewed with you before any code is written.

Design & Prototyping
3

Infrastructure as Code

With the design approved, we define every environment as code using Terraform and CloudFormation. Nothing is clicked together by hand, so your infrastructure is versioned, repeatable, and quick to rebuild the moment anything ever fails.

Development and Integration
4

Migration and Validation

Then we migrate workloads in small, reversible steps, testing each one against real traffic before moving on. You get validation at every stage, not a single risky cutover where half your systems could stall midway.

5

Well-Architected Review and Handover

Finally we run a full AWS Well-Architected Framework review across security, cost, reliability, and performance, then hand over clear documentation so your own team can confidently operate and extend it.

Related Insights

Reactive vs. Proactive AI Agents: What’s the Difference?

August 2025 · By Kodexo Labs

Explore the differences between reactive and proactive AI agents, their decision-making processes, business applications, and implementation strategies. Learn how reactive AI excels in real-time responses (e.g., customer service chatbots) and proactive AI drives long-term value through predictive analytics (e.g., predictive maintenance), with hybrid approaches delivering 40% better performance.

Top 15 AI Development Companies in 2026 [Expert-Ranked]

March 2026 · By Kodexo Labs

List of the top 15 AI development companies in 2026, based on Clutch verified reviews, production-grade capabilities, measurable ROI, compliance, and 2026-ready technologies like agentic AI and RAG.

AI in Adaptive Learning: Benefits, Challenges, and Best Practices for 2024

November 2024 · By Kodexo Labs

A practical guide to AI in adaptive learning, covering benefits, challenges, platforms, ROI, and best practices for personalized education in 2024.

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