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AI & machine learning solutions

Turn business data into intelligent applications and automated workflows with AWS AI and machine learning. We help you find practical use cases and deploy them securely on AWS.

Who it is for

Businesses with repetitive document work, large amounts of data they cannot yet use, or a clear idea for an AI feature and no in-house machine learning team.

Cloud Dimex helps organizations use AI and machine learning to solve practical business problems such as prediction, classification, document processing, data analysis, intelligent automation and personalized experiences.

We design and deploy AI and ML workloads based on your data, business objectives, security requirements and expected return on investment, starting with a small proof of value before any larger build.

We build AI solutions for businesses in Lagos, across Nigeria and in West Africa, on well designed AWS foundations with data protection built in. Tell us about the problem you want to solve.

How we work

8 steps, each agreed with you before we start. You get a written scope, timeline and cost estimate early in the engagement.

  1. Step 1: AI and ML opportunity assessment

    We identify where AI can save time or money in your business.

  2. Step 2: Business problem and data analysis

    We check that the data exists and is good enough.

  3. Step 3: Solution and architecture design

    The right mix of managed AI services and custom models.

  4. Step 4: Data preparation and model selection

    Clean data and the right model or service for the job.

  5. Step 5: Proof of value

    A small working version measured against agreed success criteria.

  6. Step 6: AWS deployment and integration

    Connected securely to your existing applications.

  7. Step 7: Performance and cost optimization

    Tuning for accuracy, speed and monthly cost.

  8. Step 8: Monitoring and continuous improvement

    Tracking quality and cost as usage grows.

What you get

  • Practical AI and ML use cases
  • Automated business processes
  • Faster, data driven decisions
  • Less manual work
  • AI infrastructure that scales
  • Secure integration with existing applications
  • Clear visibility into AI costs and performance

AWS services we use

  • Amazon Bedrock
  • Amazon SageMaker
  • Lambda
  • S3
  • API Gateway
  • Step Functions
  • EventBridge
  • Textract
  • Rekognition
  • Comprehend
  • OpenSearch
  • Aurora
  • DynamoDB
  • CloudWatch

We choose services for each project based on your requirements and budget. AWS bills its services in USD.

A document processing workflow

A document processing workflowA scanned invoice or form lands in S3. Step Functions coordinates Textract to read it and Bedrock to classify and summarize it, then writes structured results your application can use.01UploadDocuments to S302OrchestrateEventBridge and Step Functions03ExtractAmazon Textract04UnderstandAmazon Bedrock05Store and serveDynamoDB and API GatewayData stays in your AWS account,encrypted and monitored in CloudWatch
A scanned invoice or form lands in S3. Step Functions coordinates Textract to read it and Bedrock to classify and summarize it, then writes structured results your application can use.

Find a practical first AI use case

Book a consultation. Tell us where you are today and where you need to be, and we will outline the scope, timeline and cost.

+234 816 667 7770+234 903 977 9559

info@clouddimex.com

7, John Ijeh Close, Okota, Lagos State, Nigeria
Monday to Friday, 9am to 5pm WAT

Book a consultationWhatsApp (opens in a new tab)