DareData Engineering

DareData Engineering is a data and AI consultancy that works with enterprise teams on turning AI plans into working software. Its engagements run from early discovery and audits through to prototypes, custom models and production deployment. The firm also runs GenOS, its own platform for deploying and governing generative AI.

What DareData Engineering offers

• AI strategy and audits — reviews of data maturity and governance needs, and a shortlist of use cases worth building before any code is written.
• AI MVP development — rapid prototypes that test business value within a few weeks and move into deployed applications.
• Custom data science — predictive models, optimisation algorithms and classical machine learning, including demand forecasting and image or video analysis.
• Data engineering and MLOps — data pipelines, including IoT sources, cloud infrastructure tuning, plus model monitoring and retraining when drift appears.
• GenOS platform and applications — a layer for running, monitoring and improving generative AI agents, with integrations for SharePoint, legacy systems and internal knowledge bases.
• Talent agency — access to a network of data and AI specialists placed alongside a client's own team.

Who it works with

DareData focuses on regulated and high-volume sectors, naming financial services and insurance, life sciences and health, and the public sector. Earlier work also covered retail forecasting, sales and marketing, finance and risk, and heavy and automation industries.

Key facts

• Projects: more than 75 data and AI projects completed over a three-year period
• Platform: GenOS, its own system for enterprise generative AI