Enjins
We build Machine Learning engines for fast growing tech scale-ups and innovative businesses. While modelling is rapidly becoming a commodity, successful implementation of ML systems is not. We believe in a combination of data science, engineering and business to deliver successful ML systems.
We are driven by impact, and so is our vision on Machine Learning. We don’t want a data scientists’ laptop to be a graveyard for brilliant models.
We build Machine Learning engines for fast growing tech scale-ups and innovative businesses. While modelling is rapidly becoming a commodity, successful implementation of ML systems is not. We believe in a combination of data science, engineering and business to deliver successful ML systems.
We are driven by impact, and so is our vision on Machine Learning. We don’t want a data scientists’ laptop to be a graveyard for brilliant models.
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We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re…
We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re one of the proud founders of Deeploy, a platform to keep ML explainable and accountable. We involve content experts in the process of creation and feedback. We distinguish ourselves by going quickly to a working solution including a continuous feedback loop.
We love to work with entrepreneurs, from scale-ups to SMEs. We believe every use case starts with a business case, roadmap and a technical blueprint to deliver ML solutions. We believe in the combination of data science and engineering. Not just a theoretical model, but an ML engine in production.We believe ML should always be explainable, accountable and transparent. We’re one of the proud founders of Deeploy, a platform to keep ML explainable and accountable. We involve content experts in the process of creation and feedback. We distinguish ourselves by going quickly to a working solution including a continuous feedback loop.
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