Don’t go to the digitalisation battle with tools of yesterday
Don’t go to the digitalisation battle with tools of yesterday
Battle of Appomattox (1865) One side used railroads, telegraphs, and new rifles to defeat the other side.
Battle of Appomattox (1865) One side used railroads, telegraphs, and new rifles to defeat the other side.
Who we are?
What problems do we solve?
AI-Bridge, founded in 2019, is a software consulting company in Data Science and AI. We design, develop, test, and scale up ideas/use cases of our customers.
ChatGPT is cool but how you could have one custom version for your own Business?
We believe every company needs an infrastructure to leverage Large Language Models for more productivity and automation. An efficient approach would be a RAG (Retrieval Augmented Generation) system. Are you curious to know how your business could benefit from such a system? Let’s book a demo to discuss the details.
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Hardware setup
In this journey you’ll have our support from very first steps of a ML project which is data acquisition. From Sensors, i.g. industrial cameras, for data acquisition to Multi-GPU machines that are needed for training ML models.
Data analysis
Based on your requirements, we will inspect and analyze data to design project roadmap. Different pre-processings is required to make data consumable for ML models. No data? we’ll build datasets via (semi) automated labeling tools that is enough for start.
Machine learning
As a central part of our consulting services, we give our best to provide state of the art models that deliver the required performance. ML based models can learn more and get optimized while the business pipeline is acquiring more date.
Production
It’s crucial. Since without a deployment pipeline that actually makes ML models consumable, target users cannot use models at scale. For that we leverage ci/cd pipelines and orchestration approaches. MLOPs is recently a trend used for launching ML models on the cloud.
