Delivering a Scalable AI MVP

Delivering a Scalable AI MVP

Most companies struggle to deliver a scalable AI system into production. We have the data science, engineering and tools to get you there, fast.

We work with organisations to deliver their ambitious production AI projects, and we understand the need for speed, and for managing total cost of ownership.

Avoid getting stuck in "Proof of Concept" phase

In a recent survey of 1,093 industry professionals by Forbes, 64% of respondents agree that the challenges of implementing AI have been underestimated. 61% of the same group agree that many AI projects were having trouble getting beyond Proof of Concept and prototyping stages.

Deliver production value, quickly and early

At Data Language, we have seen all the common issues in the design, implementation and scaling of AI systems, and we can help you through this process. We specialise in delivering valuable MVPs quickly and early.

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64%

of industry professionals agree that the challenges of implementing AI have been underestimated (Survey: "Informa Tech and Forbes AI Survey December 2019" data from 1,093 respondents)

61%

of industry professionals agree that most AI projects in their industry remain in the experimental/pilot stage. (Survey: "Informa Tech and Forbes AI Survey December 2019" data from 1,093 respondents)

85%

Of large organisations surveyed are not using AI in Production (and 14.6% are). Survey data from CXs in large organisations: 63% of respondents in Financial Services sector, 26% of respondents in Healthcare sector, and the remaining 11% across multiple sectors. Survey by NewVantage Partners, cited in Forbes, January 2020.