Automate. Understand. Scale — with AWS AI

We help businesses unlock productivity using AWS pretrained and custom AI services — from document automation to generative assistants built on Amazon Bedrock, Textract, Comprehend, and SageMaker

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Talk to our AWS-certified architects about modernising your applications, scaling DevOps, and unlocking AI.

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AWS-Powered AI App Developer

We helps forward-thinking organizations accelerate their AI adoption journey. Using AWS’s pretrained AI services and custom ML models, we deliver intelligent automation and decision-making systems that improve efficiency, accuracy, and scalability.

AI Quick Start

Leverage AWS’s powerful built-in models to automate and scale instantly.

  • AWS Bedrock for generative AI
  • AWS Textract & Comprehend for document intelligence
  • AWS Rekognition for vision analytics
  • AWS Transcribe & Translate for audio and language AI

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Custom AI & ML

Design, train, and deploy models tailored to your business — built on AWS with RAG, LangChain, LangGraph and vector databases.

  • Generative AI Apps
  • Computer Vision
  • Natural Language Processing (NLP)
  • Predictive Analytics
  • AI Agents & API Integration

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DevOps

Make your Apps and Infra reliable, monitored, and compliant.

  • Infrastructure As Code
  • CI/CD Pipelines
  • Containerization
  • Cloud Management
  • Cost and performance optimization

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AWS AI for Every Industry

Legal

Contract summarization, compliance

Manufacturing

Predictive maintenance, quality control

Education

Exam grading, content generation

Healthcare

Data extraction, FHIR document processing

Agriculture

Image-based yield prediction

Case Study: Austrialian Construction Startup

Cubex Systems Pty Ltd has successfully enhanced the client's backend, meeting their expectations. Their effective communication and responsiveness have fostered a positive working relationship. In addition to their technical expertise, their exceptional customer service is a hallmark of their work.
Case Study
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Frequently Asked Questions

1. What does bCubex do?

bCubex (Cubex Systems Pty Ltd) helps businesses automate and scale using AI and cloud technologies. We design intelligent systems that read, understand, and act on data — from document automation and chatbots to RAG-based assistants and predictive analytics — all backed by strong DevOps foundations.

2. Who do you work with?

We work with startups, scale-ups, and enterprises that want to build or modernize AI-driven systems. Whether you’re validating a product idea or integrating AI into existing workflows, we help you go from prototype to production efficiently.

3. What makes bCubex different from other AI or DevOps agencies?

Unlike traditional agencies, we combine AWS-native AI expertise with production-grade DevOps. That means we don’t just build proofs of concept — we deploy secure, scalable, and cost-optimized systems that are ready for real-world use.

4. What kind of AI solutions can you build?

We build solutions like:

  • Intelligent document processing and form extraction

  • Conversational assistants and chatbots

  • RAG (Retrieval-Augmented Generation) systems using vector databases

  • Custom generative AI solutions for automation and insight generation

  • Integrating Agentic AI solutions in your existing workflows.
5. Do I need to have existing cloud infrastructure?

Not necessarily. We can help you migrate, modernize, or build from scratch on AWS or other cloud environments. Our team sets up the right DevOps pipelines, environments, and monitoring so your system is reliable and future-ready.

6. How much does an AI or DevOps project cost?

Costs depend on complexity and scope. Startups often begin with small proof-of-concept projects (from $5K–$15K) before scaling to enterprise-grade deployments. We provide clear milestones, deliverables, and pricing from the start.

7. How long does it take to implement AI automation?

Most pilot projects take 4–8 weeks. Full-scale production systems can take 3–6 months, depending on data availability, integrations, and testing requirements.

8. What technologies do you use?

We work primarily with:

  • AWS Bedrock, Textract, Comprehend, and SageMaker for AI

  • Python, Django, Node.js, and Next.js for application development

  • Docker, Terraform, and GitHub Actions for DevOps automation

  • LangChain, LangGraph, and PostgreSQL for RAG and vector databases

9. Do you provide long-term support?

Yes. We offer managed DevOps and MLOps support plans that keep your systems secure, updated, and optimized — so your team can focus on product growth, not maintenance.

10. How do we get started?

You can start with a free discovery call. We’ll discuss your goals, identify automation opportunities, and recommend a roadmap tailored to your needs.