Chances are, your firm isn’t Google or Baidu, with machine learning deeply embedded in your business DNA from day one and the resources to lead research in this space. However, you have probably noticed that data science is transforming almost every market, including yours. So how do you leverage artificial intelligence (AI)’s potential in a…
Our solutions have achieved world‑leading performance levels
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What we can do for you
We can help your business to achieve the following and more:
Machine learning expertise
We work together with you to ensure that your machine learning solution is fully integrated into your business, updated with the latest AI technology as it becomes available, and properly maintained. All our work is conducted in‑house.
Machine learning process
Strategy & advisory
We always start by understanding your business and pain points. If an area of your business can be improved through machine learning, we will work closely together to prepare a roadmap which applies state-of-the-art techniques while minimizing the disruption to your existing business.
Machine learning requires data at scale. Consultivate has the in-house data science expertise to explore and maximise your data’s usability for AI applications. If you lack data, new custom high-quality datasets can be created by our annotation team, no matter the size of the dataset. 70% of a machine learning project comes down to data analysis, data engineering and pre-processing.
Proof of concept
A working tailor-made prototype architecture can be available within weeks. Our team uses state-of-the-art deep learning neural networks, training up to a few thousand variations of the same model in parallel on cloud GPUs, while tuning key hyper parameters in order to leverage the best scores for the metrics that define your business.
Once trained and tuned, your model will be released in the format of your choice, such as an API, a mobile app or a dashboard. You will then receive a full performance & analysis report. To support your evolving business, we can maintain your models and keep working with your team to update them with new data and objectives, all within short iteration sprints.