
Fast Data Science Ltd has officially been accepted onto the Artificial Intelligence DPS (Dynamic Purchasing System) framework as an Appointed Supplier. This status validates our ongoing commitment to delivering cutting-edge AI, machine learning, and data science solutions, while making our services directly accessible to contracting authorities across the UK public sector.
A DPS is always open to new suppliers. Unlike a traditional fixed “Framework Agreement” (which closes to new applicants once awarded for its 2–4 year duration), a DPS remains open continuously. Qualified suppliers can apply to join at any point throughout its lifecycle.
A DPS has a pre-qualification stage: To become an “Appointed Supplier,” companies must submit a Selection Questionnaire demonstrating their technical capability, compliance, and financial standing. There is no limit on how many suppliers can join as long as they meet the criteria.
Procurement via a DPS involves two stages:
Stage 1 (Qualification): Suppliers pass the criteria to join the DPS pool. You can see the list of approved suppliers here on the Government Commercial Agency: https://www.gca.gov.uk/suppliers
Stage 2 (Call-off Competition): When a public sector body needs an AI solution (such as discovery, machine learning development, or natural language processing), they filter the DPS list for relevant suppliers and invite them to bid in a mini-competition.
You can read more about the Artificial Intelligence DPS here: https://www.gca.gov.uk/agreements/RM1557.15
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Fast Data Science is listed on the UK Government’s Digital Marketplace under the G-Cloud 15 Framework and Digital Outcomes 6 as well as the Artificial Intelligence DPS.

Thomas Wood, director of Fast Data Science, and Dr Bettina Moltrecht of UCL will be appearing at DRIVE-Health, an event hosted at Kings College London, to present Harmony Meta on 24 September 2026.

Fast Data Science are pleased to announce the release Clinical Trial Data Lookup plugin for Google Sheets. It lets you look up data for multiple clinical trials by NCT ID and fills out information such as condition, sponsor, endpoints, or protocol URL in different columns.
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