Empowering innovation with AWS
Combining ML6's machine learning expertise and AWS's cloud infrastructure accelerates digital transformation with seamless AI solution development and management, enhancing efficiency and competitive edge.
The collaboration with AWS represents a key development, leveraging AWS's comprehensive cloud infrastructure and services to improve the delivery of scalable, secure, and efficient AI solutions. This partnership provides access to a broad range of computing resources and innovative technologies, facilitating the development of advanced, client-specific solutions.
Simon Logghe
Managing director, ML6
Supporting businesses
The ML6-AWS partnership leverages strengths in ML and cloud computing to innovate and deliver top-tier solutions. Together, they excel in various domains.
Utilizing AWS's extensive cloud infrastructure, we develop and deploy AI solutions that are scalable, secure, and highly available. These solutions range from predictive analytics to natural language processing and computer vision applications.
We offer advanced data analytics services, enabling clients to process and analyze large volumes of data efficiently. This service helps businesses uncover valuable insights, make informed decisions, and stay competitive in their respective markets.
Leveraging AWS's state-of-the-art machine learning platforms, we build and train custom machine learning models tailored to the specific needs of our clients. These platforms facilitate faster development and deployment of ML models, reducing time to market.
Our team specializes in developing and deploying cloud-native applications using AWS's flexible and robust computing resources. This includes everything from web applications to complex enterprise systems.
AWS Tech Stack
The ML6-AWS partnership leverages strengths in ML and cloud computing to innovate and deliver top-tier solutions. Together, they excel in various domains.
AWS SageMaker
SageMaker is a fully managed service that streamlines machine learning for data scientists and developers by simplifying the build, train, and deployment process of models at scale, enhancing accessibility and efficiency.
AWS Lambda
This serverless architecture service enables the execution of code without the need to provision or manage servers, making it perfect for applications and back-end services requiring fast response to events and data changes.
Amazon EC2
Amazon EC2 offers scalable computing capacity in the AWS cloud, enabling the efficient management and operation of server instances across a range of applications for enhanced performance and flexibility.
AWS Glue
AWS Glue is a fully managed ETL service that simplifies the process of preparing and loading data for analytics, processing information from diverse sources and formats.
Amazon Bedrock
Amazon Bedrock is a fully managed AWS service that enables the development of generative AI applications by providing access to a variety of foundation models through a unified API. It simplifies the integration and deployment of AI technologies into user applications without requiring infrastructure management, offering features like model fine-tuning and serverless operation.
Amazon Q
Amazon Q is an AI assistant from AWS designed to enhance business operations by integrating with over 40 applications like Amazon S3 and Salesforce, providing data-driven suggestions and ensuring compliance with security and privacy standards.
Success Stories
Transforming Bolt’s customer service with a Large Language Model
With the AI solution built by ML6, customer service agents now have an accurate indicator for the language and category of an incoming customer service ticket. This enables the agents to focus on what’s really important, instead of sorting the tickets first, resulting in a time and efficiency gain.
Recommendation engine for their online shop
We built a recommendation engine to further increase the customer experience, click-through and conversion rate in the online shop as an engine for top line revenue growth. Using AI to enable high-quality recommendations: automate and expand the existing recommendation process and integrate it into the online shop
Dynamic pricing
Policy Expert, a tech-forward home and car insurer, leverages data to revolutionize insurance with transparent policies, fair prices, and exceptional service. Their shift to dynamic online pricing, crucial for standing out in a market dominated by aggregators, involves deploying a reinforcement learning-based AI model. This model, informed by analysis of past quote outcomes, aims to refine pricing strategies and is slated for launch within the year, with further segmentation and tuning to follow.
Blog Posts and Insights
Read our case studies and blog posts to learn more about autonomous agents.
