Applied AI Services

"Cloudaeon AI services refer to a suite of tools, platforms, and solutions offered, typically by cloud providers or specialized vendors, that enable businesses to build, deploy, and manage AI models without the need to create them from scratch. These services often abstract away the complexities of AI, allowing users to harness its power via APIs, pre-trained models, or customizable solutions."

Amol Malpani (CTO, Cloudaeon)

Key Use Cases
  • Customer Support: Use chatbots and virtual assistants for 24/7 support.
  • Image Recognition: Implement image or video analysis for applications like surveillance or product quality checks.
  • Speech-to-Text: Transcribe spoken content automatically for accessibility or data analysis.
  • Forecasting: Use AI to predict sales, stock requirements, or maintenance needs.
  • Recommendation Systems: Offer product or content recommendations in e-commerce or streaming platforms.
Key Benefits
  • Complexity: Businesses can utilize AI without deep expertise.
  • Cost: Avoid the high costs of setting up AI infrastructure and resources from scratch.
  • Time: Rapidly deploy AI solutions without the prolonged process of model design, training, and validation.
  • Scalability: Leverage the cloud infrastructure to handle varying loads efficiently.
What We Offer
  • Pre-trained Models: Models that are already trained on vast datasets and can be directly used or fine-tuned for specific tasks.
  • Custom Models: Tools that allow users to train their models using proprietary data.
  • Infrastructure & Hardware: Often cloud-based resources optimized for AI computations (e.g., GPUs).
  • APIs: Interfaces through which developers can access the AI capabilities.
  • Software Development Kits (SDKs): Collections of software tools and libraries that facilitate the development of AI applications.
How We Work
  • Requirement Analysis: Identify the business problem that needs AI intervention.
  • Service Selection: Choose a suitable AI service (e.g., vision, speech, custom model training).
  • Data Collection & Preprocessing: Gather and preprocess data if custom training is needed.
  • Model Training (if necessary): Use the platform's tools to train a model on your data.
  • Integration: Use APIs or SDKs to integrate the AI capability into applications, websites, or systems.
  • Evaluation & Feedback Loop: Monitor the model's performance and gather feedback for iterative improvements.
  • Scaling & Deployment: Use the platform's infrastructure to deploy and scale the AI solution as per demand.

Managed Services

  • Consultation & Strategy Development: Understand the enterprise's goals and devise a suitable AI strategy.
  • Data Management: Assist in collecting, preprocessing, and managing data for AI applications.
  • Custom Solutions: Design, develop, and deploy tailored AI solutions when generic services don't suffice.
  • Integration Support: Seamlessly integrate AI capabilities into existing enterprise systems.
  • Continuous Monitoring & Optimization: Monitor AI solutions, ensure they perform optimally, and make necessary adjustments.
  • Training & Capacity Building: Educate enterprise teams on using and benefiting from integrated AI services.
  • Security & Compliance: Ensure AI solutions adhere to industry standards and regulations, emphasizing data privacy and ethical considerations.

Readiness Check

In 10 minutes, get a score to assess your Readiness & Maturity. You'll get a clear score to help your identify areas of improvement.

Getting Started

If you are ready to engage with us and would like do dive deeper into the subject, go ahead and book in a Discovery Workshop with our Practice Leads.