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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AWS-Powered AI Services
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.
Pretrained AWS AI Services
Leverage AWS’s powerful built-in models to automate and scale instantly.
- Bedrock for generative AI (Claude, Titan, Llama)
- Textract & Comprehend for document intelligence
- Rekognition for vision analytics
- Transcribe & Translate for audio and language AI
Custom AI & ML Engineering
Design, train, and deploy models tailored to your business — built on AWS SageMaker, LangChain, and vector databases.
- Custom GPT-like chatbots
- Predictive analytics pipelines
- API integration with enterprise data
- Fine-tuning and prompt optimization
- API integration with enterprise data
MLOps & DataOps Enablement
Make your AI stack reliable, monitored, and compliant..
- Model deployment & versioning
- Data pipeline orchestration
- Continuous training & governance
- Cost and performance optimization
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
Frequently Asked Questions
Q1. What does BCubex do as an AWS AI agency?
A: BCubex helps businesses deploy, fine-tune, and scale artificial intelligence on AWS.
We specialize in pretrained AWS services like Bedrock, Textract, and Comprehend, and also build custom AI models on SageMaker. Our team designs end-to-end solutions including MLOps, data pipelines, and GenAI applications tailored to your business goals.
Q2. What’s the difference between pretrained and custom AWS AI services?
A: Pretrained AWS AI services like Bedrock, Comprehend, and Rekognition offer ready-to-use models for language, vision, and generative AI tasks.
Custom AI services use tools such as SageMaker to train or fine-tune models using your own data — ideal for proprietary or industry-specific intelligence.
Q3. Why choose AWS Bedrock for Generative AI?
A: AWS Bedrock provides secure access to foundation models like Claude, Titan, and Llama through an API — allowing you to build GenAI features without managing infrastructure.
It’s ideal for chatbots, content generation, and enterprise automation with AWS-native reliability and compliance.
Q4. How does BCubex ensure data security in AI projects?
A: We use AWS-native controls such as IAM, KMS encryption, and private VPC endpoints to ensure data never leaves your cloud boundary.
Our deployments comply with AWS best practices and industry standards for data privacy and model governance.
Q5. Can BCubex help integrate AI into my existing software or workflows?
A: Yes. We integrate AI directly into your current AWS or non-AWS systems using secure APIs and automation pipelines.
This includes document intelligence, conversational AI, and predictive analytics — powered by AWS Bedrock, Textract, Comprehend, and Lambda.
Q6. What industries does BCubex specialize in?
A: We apply AWS AI across key verticals:
Healthcare – predictive analytics, clinical documentation
Legal – contract review and summarization
Manufacturing – predictive maintenance and inspection
Education – AI grading and engagement tracking
Each solution uses AWS services configured for your data and compliance needs.
Q7. What is MLOps and why is it important?
A: MLOps (Machine Learning Operations) automates the deployment, monitoring, and versioning of ML models.
BCubex implements MLOps using AWS SageMaker Pipelines, CodePipeline, and CloudWatch to ensure your AI models remain accurate, auditable, and scalable over time.
Q8. How quickly can I launch an AI project with BCubex?
A: For pretrained AWS AI services (like Bedrock or Comprehend), setup can take as little as 2–4 weeks.
Custom AI or MLOps implementations typically take 6–12 weeks, depending on complexity and data readiness.
Q9. Does BCubex only work with AWS?
A: Our primary specialization is AWS, but we integrate hybrid architectures where needed — including Azure OpenAI or GCP Vertex AI — ensuring full interoperability while maintaining AWS as your core AI platform.
Q10. How do I get started with BCubex?
A: You can book a discovery call to assess your AWS AI readiness.
We’ll identify whether pretrained models or custom ML solutions best fit your goals, then design a proof-of-concept and roadmap to production.
