SOLUTIONS – Tempered

Solutions

At Tempered AI, our solutions are the product of experience and dedication. By enlisting our seasoned consultants, who have navigated similar projects, we not only expedite progress but also enhance the likelihood of success. Our track record attests to the resilience of our solutions, as they are forged in the crucible of real-world challenges.

Trust Tempered AI to accelerate your journey to success with solutions rooted in proven expertise.

Our Solutions

Databricks Migrations:

Seamlessly transition your data, pipelines and workloads to Databricks for enhanced analytics and performance.

Databricks Optimizations:

Fine-tune your Databricks pipelines, compute resources, and data storage for maximum efficiency and cost-effectiveness.

Databricks CI/CD Pipelines:

Implement CI/CD pipelines in Databricks to automate workflows with databricks repos & databricks asset bundles.

Databricks MLOps:

Empower your machine learning projects with robust MLOps practices for model deployment, monitoring, and management.

LLMs Application Development:

Create and deploy Language Models (LLMs) to power natural language understanding and generation applications.

Spark Code Optimization:

Enhance the speed and efficiency of your Spark code to process data faster, reduce costs, and reduce out of memory errors.

ML Model Monitoring:

Implement monitoring solutions to continuously track the performance and health of your machine learning models.

ML Model Evaluation:

Ensure the quality and accuracy of your machine learning models with comprehensive reviews and improvements.

Churn Model Creation:

Develop predictive models to identify and mitigate customer churn, enhancing retention strategies.

Recommendation Engines:

Leverage data-driven recommendation engines to enhance user experiences and drive engagement.

AI Vision Consulting:

Explore the possibilities of AI vision technologies and harness their potential for your business applications.

Vector Indices Optimization:

Deploy and optimize vector indices for LLMS (and beyond) for efficient and high-performance similarity search in large datasets.