Delivering world class engineering expertise in data science, linked data, big data and semantic technologies.
To deliver useful data platforms, you need to be great engineers as well as brilliant data scientists.
At Data Language we combine vast experience in technical solutions engineering with cutting edge data science. This allows us to not just do magic with data, but build systems that are robust, scalable, and maintainable.
Whether it's big data, linked data, machine learning or AI, we design and build practical and pragmatic technical solutions.
From startups to multinational corporations, we help clients make sense of their data, unlock its full potential and deliver tangible value that lasts.
Enterprise technology strategy
Technical and data architecture
Data science solutions
Linked data & semantic technologies
Full stack software delivery
Incremental, adaptive delivery driven by commercial opportunities.View Service
A robust and pragmatic data engineering approach to AI and Machine LearningView Service
From insights to analytics, from data science to machine learning: when more is more.View Service
Pragmatic, domain-driven solutions for ontology modelling and linked data at scale.View Service
Our engineering team can deliver quality end-to-end solutions, big or smallView Service
Structured approach to governance for complex, matrixed, multi-tenancy clients’ needs.View Service
If not properly structured, governed and aligned with your business strategy, data may become a hindrance to growth rather than a revenue generating asset. Today’s new breeds of data (big, heterogeneous, unstructured, fast) can quickly compound into a frustrating problem. It just gets in the way.
Linked data and semantic technologies can help to simplify your data, make it easier to understand, govern, and exploit to the fullest. By aligning data with your business, we can unlock its potential to support your strategic technical roadmap.
If you would like to know more about Data Language or have a project you would like to discuss with us, then please get in touch
Call us on: 01372 365803 Email us: email@example.comMake an enquiry