Augmented intelligence, expertly engineered​
69 Carter Lane
London EC4V 5EQ
Machine Learning Accelerator
Getting a prototype ML model to deliver a measurable business benefit is a significant challenge. To reap the benefits of your Machine Learning models you need to rapidly deploy, test and optimise them in production.Â
Typical Challenges
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Optimising and retraining models once they're released is time consuming and unreliable
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Models that showed promise when prototyped aren't performing as expected in production.
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Getting models from prototype to production takes too long
What we do
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Provision the infrastructure needed (including GPUs/TPUs where neccessary) to power AI applications (using Terraform)
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Perform feature engineering
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Bring domain knowledge of most suitable algorithms and features for specific machine learning problems.
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Rapidly engineer Dataflow ELT process based on templates, patterns and bespoke encoders
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Implement parallel processing using Dataflow for large batch (millions) predictions
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Deliver secure APIs for your end-users or other applications to consume
What you get
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A state of the art machine learning layer, built of data pipelines
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Optimal hardware provisioning for your use case
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Tooling for model training and hyperparameter tuning
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Model retraining capability through feedback loops
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APIs to consume the model output