Harnessing Modern Cloud Solutions

Processes and technologies for acquiring data from multiple systems and streams, cleaning, processing, and storing it as a single source of truth in schemas and standards suitable for AI model use.

Widely used data clouds featuring tools tailored for AI data storage. These platforms can run on major hyperscalers like

AWS

Azure

Google Cloud Platform

, offering lakehouse solutions that meet most data acquisition, processing, and storage needs.

Feature stores such as

Feast

and

Hopsworks

store cleaned, modified and created data so that it's ready for evaluation, improving the performance and accuracy of your model.

General Member Linux Foundation AI & Data Generative AI Commons

Model Openness Framework (MOF): Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI

We are deeply involved in the Linux Foundation AI & Data Generative AI Commons, and through our chairmanship of the Models, Applications and Data workstream, we are deeply involved in the Model Openness Framework (MOF) and Model Openness Tool (MOT).

The MOT enables you to know immediately what it is you're actually getting and whether a supposedly open source model actually is open source, or whether it is instead an example of “openwashing”.

Generative AI

Developing and deploying advanced generative models; leveraging AI
to create content, art, and interactive experiences.

CloudGeometry continuously reviews new updates and compares
both open-source and commercial LLM options for each business case.

Content Generation

Unlock the power of AI to automatically create high-quality, tailored content across various formats, streamlining your marketing efforts and enhancing customer engineering.

Design & Prototyping

Accelerate your design & product development cycles with AI-driven tools that generate rapid prototypes, automate design processes, and inspire innovative ideas.

Automated Data Synthesis

Generate synthetic data sets with AI to fill data gaps, enhance model training, and simulate complex scenarios, driving more accurate and robust AI solutions.

Personalization Engines

Create highly personalized customer experiences at scale with AI-powered engines that tailor content, recommendations, and interactions to individual preferences.

Generative AI in Industry Applications

Generative AI is transforming industries like healthcare, finance, retail, and entertainment with innovative applications that drive efficiency, personalization, and growth.

Explore CloudGeometry Generative AI Services

Data Engineering

Building and optimizing data pipelines;
integrating data from multiple sources for analysis & machine learning.

Data Analysis & Planning

Evaluating data needed by AI model

Planning data collection

Selecting storage technologies

Establishing an update strategy

Saves 80%+ time for Analytics and AI projects, by providing advanced capabilities that enable a company to leverage industry-specific universal schemas and start AI experimentation by Day 2, bypassing the need for complex and time-consuming mapping analysis of the data scattered across ERP & Analytics systems.

Once the AI models are defined and the business benefits are confirmed, the exact data requirements for the models will be specified. Claritype technology then analyzes the company data, identifies gaps with the universal model, and helps set up data pipelines.

Kubeflow — Cloud Native Computing Foundation — CloudGeometry — CNCF Partner

Provides a way to easily string together operations on a dataset into a coherent pipeline. These open-source tools make it possible to consistently perform the same cleaning and preprocessing actions on both the training and inference data.

Popular and stable open-source framework for large-scale data processing.

Data Acquisition & Pipelines

Processes and technologies for acquiring data from multiple systems, cleaning, processing, and storing it in schemas and standards suitable for AI model use.

Data Storage

Secure vault for the information that fuels your intelligent models. It provides the foundation for growth, ensuring your AI has the data it needs to perform at its best.