Elevate Your Business with Machine Learning
When executed well, artificial intelligence (AI) and machine learning (ML) enable businesses to transform products, services, and processes by automating much of what engineering teams do manually. ClearScale can help you realize the full potential of ML across your business using powerful, purpose-built solutions from Amazon Web Services (AWS).
Achieve More With ClearScale and AWS
Identify and eliminate redundant processes by delegating manual tasks to intelligent ML programs.
Solve Complex Challenges
Forecast trends, optimize pricing, and proactively mitigate risk by relying on ML algorithms designed to accelerate innovation.
Deliver Better Services
Process massive volumes of customer data to determine how you should invest in product development and improve the customer experience.
Why Choose ClearScale as Your Machine Learning Consulting Partner?
Proven AI/ML Success
ClearScale earned the AWS Machine Learning Competency, validating our team’s ability to bring AI/ML applications to life for our clients. We have deep experience working with customers in diverse industries to build intelligent, data-driven ML solutions that improve over time and improve bottom-line profitability.
Mastery Over AWS AI/ML Solutions
Our ML experts are well-versed in AWS’s most powerful AI/ML services, including Amazon SageMaker, Amazon Forecast, Amazon Translate, Amazon Comprehend, Amazon Personalize, and more. By implementing these services, we enable companies to transform their businesses for the digital age in the most innovative manner possible.
Common Machine Learning Use Cases
Study end-user behaviors en masse and train up recommendation engines that can deliver tailored results to both new and returning customers.Read more
Automate the lifecycle of ML algorithms in production — from initial model training to retraining against new data. Identify duplicate data to ensure only one copy is stored while the rest is marked as duplicate for further analysis.Read more
Create robust forecasting models based on past data that enable you to plan more effectively for future demand.Read more
“We worked with ClearScale to help set up and configure our initial solutions and data pipelines. We needed to leverage insights faster and launch something in months rather than years. Their experts set up an AWS cloud configuration and related services for using Amazon Personalize to help save us a tremendous amount of effort and thousands of engineering hours.”
- Mikey Centrella, Director of Product ManagementRead Case Study
“ClearScale demonstrated both its technical cloud expertise and creativity through our recent project. It was clear from the get-go that ClearScale had done this type of data management revamp time and time again. Their expertise in machine learning was a valuable complement to our own application experts. We're now well-positioned to create even greater value for everyone in the SRM Ecosystem from manufacturers, to our dealers, fleets and partners.”
- Satish Joshi, Chief Technology Officer, DecisivRead Case Study
“ClearScale recognized the importance of AWS’ Machine Learning paradigms to SeligoAI’s value proposition and their ability to generate probability-based intelligence. Complex AI algorithms also continuously modify the Working Dataset and continually refine the predictive model which refreshes the probability analyses. Essential to this set of core calculations is AWS’ ML platform.”
- Gregory Jordan, SeligoAIRead Case Study