AI on AWS

Build secure, cost-efficient AI solutions on AWS with a clear strategy, production-ready architecture, and fast time-to-value.

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Our approach

Our Solution AWS AI Solutions

ROI-focused AI workshops
We help you identify realistic, high-value AI use cases based on your goals, data, and workflows — not generic ideation.
High-Impact POCs
We build practical, AWS-native proofs of concept to validate business value and technical feasibility within weeks.
AWS-Native architecture & integration
We develop secure, scalable AI solutions using Bedrock, SageMaker, vector databases, and serverless components.
Data, security & compliance by design
We ensure that your AI workloads meet strict security, privacy, and governance standards across your AWS environment.
Co-building with your team
We work alongside your engineers and product team to build, refine, and deploy AI features that deliver measurable outcomes.
From POC to production
We guide your transition from prototypes to fully deployed, optimized AI solutions with monitoring, scalability, and cost control.

What we can build with AI

1

Intelligent Content Generation

Generate domain-specific content such as reports, product descriptions, support messages, or compliance summaries — grounded in your internal data.
2

AI Assistants & Chatbots

Build task-driven assistants for customer support, troubleshooting, onboarding, or internal workflows, fully integrated with your systems and AWS services.
3

AI-Powered Search (RAG)

Enable semantic search across documents, knowledge bases, logs, or product data using embeddings, vector databases, and AWS - Bedrock models.
4

Document Summarization

Convert long articles, cases, or technical documents into concise, accurate summaries to accelerate understanding and decision-making.
5

Image Generation & Enhancement

Produce or refine images for product placement, creative workflows, or automated content production using AWS Bedrock or SageMaker models.
6

Personalization & Recommendations

Deliver relevant content or product recommendations powered by behavioral and contextual data.
7

Workflow Automation

Automate repetitive business processes, content pipelines, triage flows, or internal tasks using AI-driven logic.
8

Classification & Tagging

Automatically categorize documents, tickets, logs, or media files to improve searchability and operational efficiency.
our professional numbers
AWS
4-6weeks average delivery time
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35%cost optimization across workloads
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100+Architectures reviewed
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9.6/10customer satisfaction
Our Values

Real value we bring

Faster time-to-value

you move from idea to validated AI prototype in weeks, not months.

Lower risk through AWS-native security

your data remains private and controlled using secure, enterprise-ready AWS services.

Validated use cases with clear ROI

you invest only in AI initiatives that prove real business impact.

Scalable, production-ready architecture

every solution is built to grow, integrate, and operate reliably under real workloads.

Reduced operational cost

optimized inference pipelines and AWS-managed services help control AI-related spending.

Expert guidance

we bring practical insights from real industry AI implementations, not theory.

How it works

01

Workshop

Day 1

  • Foundations
  • Capability review
  • 10+ use cases
  • Prioritization
02

MVP Development

Weeks 1-3

  • Build 2–4 use cases
  • Demo-ready outputs
  • Technical feasibility tested
03

Optimization

Week 4

  • Feedback loop
  • Refinement
  • Integration improvements
04

Final Delivery

Day 30

  • Demo
  • Documentation
  • Production TCO
  • Next steps roadmap

Intelligence built for impact

Client Story
Adeline CorvetteAdeline Corvette
quote

In just seven weeks, Cloutive delivered the AI solution to We Are Eves, surpassing the initially agreed-upon use cases. As a result, We Are Eves seamlessly integrated AI without the need for internal experts, large budgets, or extensive development time.

Read full review
Adeline Corvette
Quint Mouthaan
Founder and CTO at We Are Eves
quote

Different from other service providers, they’re just one call or slack message away.

Read full review
Adeline Corvette
Aniel Raghoenandan
Head of IT at Coeo-Incasso Netherlands
quote

We hired Cloutive to bring the insight, experience and authority to clean-up the structure.

Read full review
Adeline Corvette
Martin Kooij
Program Manager at AXXS
quote

I’m pleased to see that Cloutive is maintaining the same level of service for maintenance/support tickets

Read full review
Adeline Corvette
Vincent van Beusekom
Co-Founder & COO/CTO at Technology Catalogue
quote

Cloutive’s careful infrastructure management, strong security practices, and excellent compliance measures allowed Bilink’s development team to focus on core business operations.

Read full review
Adeline Corvette
Billink B.V.
Financial institution in Gouda, Netherlands
quote

Cloutive provided Architect, Dev(Ops) and Project Management roles which formed the core team essentials for us to lean on.

Read full review
Adeline Corvette
Rob Spekschoor
Strategy Lead Development at CentralPoint (Dustin)
quote

Cloutive promptly worked with us and presented a target architecture and migration plan in a remarkably short time

Read full review
Adeline Corvette
Guclu Bigay
CTO at Digital Audience
quote

Cloutive’s communication and project management were exemplary, keeping us informed and addressing concerns promptly.

Read full review
Adeline Corvette
Jeroen van Overbeek
CTO at WAIR (Fashion AI Forecasting)
quote

Cloutive developed a AI-powered image generation project, which uses existing data and images in order to generate images to place products for the end customers.

Read full review
Adeline Corvette
Vontage Point
GenAI Image Generation Project
quote

Cloutive’s migration strategy has allowed us to migrate our full platform from a privately-hosted windows-based setup on the AWS ECS within just three month’s time.

Read full review
Adeline Corvette
Lammert Dijkstra
Technical Director at Ockto B.V.
quote

Cloutive’s expert DevOps-as-a-Service team has helped us move our AWS infrastructure to the next level, ensuring stability and scalability. They are a reliable partner on our growth journey.

Read full review
Adeline Corvette
Clubee
SportsTech company
quote

All in all, Cloutive is open, practical and focused on long-term value. That makes them a trusted AWS partner and a pleasure to work with.

Read full review
Adeline Corvette
Roeland Steenge
Manager IT at Impress BV
Delivery Philosophy
No layers, no pass-offs — our engineers work directly with customer teams to build and scale together.
01
We don't count hours.
Fixed-fee and always value-aligned.
02
Slack, standups, or on-site —
we stay close to your team so we solve problems before they grow.
03
We enable, upskill, and document so your team gains autonomy, not dependency.
04
We grow with our customers.
Most of our relationships span years.
05

GenAI use case discovery guide

A short guide that helps teams identify realistic, high-value GenAI opportunities based on their data, workflows, and ROI potential.
Download guide
faq

01

What kind of GenAI use cases can you help us validate?

We focus on high-value scenarios: summarization, intelligent search, assistants, workflow automation, classification, and domain-specific tasks for SaaS, fintech, and enterprise environments.

02

What can we realistically expect from a GenAI MVP in 4–6 weeks?

A validated use case, a working demo, clear feasibility results, and a roadmap for production. No "hello world", only practical outcomes tied to your data and workflows.

03

How do you ensure data privacy and security when using GenAI on AWS?

We use AWS-native services like Bedrock and SageMaker with private models, isolated IAM permissions, encryption, and strict governance controls. Your data stays inside your AWS environment.

04

How do you keep GenAI costs under control on AWS?

We optimize model selection, inference pipelines, vector DB usage, and scaling strategies. You also get transparency through AWS-native cost tools and clear recommendations.

05

What GenAI technologies on AWS do you use?

We use AWS-native GenAI services such as Amazon SageMaker, Amazon Bedrock, AWS Inferentia, and AWS Trainium. As an AWS Partner, we combine these technologies to build secure, efficient, and scalable GenAI solutions that deliver real business value.

06

What do we need to prepare before starting a GenAI project?

Basic access, a quick overview of your data sources, and clarity on the business problem you want to solve. We guide the rest during the workshop.

07

Can you help us move from POC to production?

Yes. We design the production architecture, improve the MVP, integrate with your systems, set up monitoring, and prepare the deployment plan with security and cost guardrails.

Still have questions?

Book a free consultation
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