mscope Cuts ML Costs and Speeds Investment Insights
DoiT redesigned mscope's AWS stack with SageMaker, Step Functions, and Bedrock to fine-tune LLMs on multilingual data for smarter company classification.
Meet mscope
mscope.tech is a dynamic early-stage startup dedicated to maximizing the potential of data for informed investment decision-making. With a clear vision, its primary objective is to unlock and harness the value hidden within vast information. By leveraging cutting-edge technologies such as machine learning and AI, mscope aims to revolutionize data analysis. It focuses on developing state-of-the-art methodologies to summarize documents and extract crucial features from web-scraped data.
The Challenge
As an early-stage startup, mscope lacked in-house machine learning expertise and needed to establish infrastructure for training and deploying models. They required solutions for generating English text from multilingual web-scraped data using LLMs and implementing sophisticated multi-level classification systems for categorizing companies based on supply chain roles and product characteristics.
The Solution
DoiT provided comprehensive machine learning consulting including AWS cost budgeting, architecture design for fine-tuning transformer models like Mistral 7B with HuggingFace framework, and workflow optimization. DoiT recommended replacing expensive EMR clusters with SageMaker batch transform and Step Functions orchestration, and secured early access to Amazon Bedrock for cost-effective LLM experimentation.
Results
- Enhanced preprocessing of multilingual web scraping data leading to improved classifier algorithm performance
- Optimized processing times and reduced costs through architectural improvements
- Gained valuable insights from multilingual data enabling better investment decision-making
We are grateful for the tremendous support provided by DoiT. As an early-stage startup navigating complex challenges in machine learning new techniques, DoiT's expertise was instrumental. From budgeting AWS services to architecting a tailored solution, their guidance empowered us to harness advanced technologies effectively. DoiT's solution delivered profound results, enabling us to use our web scraping data more efficiently and gain more insight from them, improving our classification algorithm.
Marion Roussel, VP Data at mscope
What's Next
Based on the success of the collaboration, mscope would like to continue this partnership to build a new company classifier. Having enhanced the web scraping input data, its focus will now shift to further improving the mscope companies' classification. The partnership demonstrates the ongoing value of DoiT's expertise in helping startups leverage advanced cloud technologies for business growth.
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