Technology and Data Professional Services Framework
The procurement contact named on the official notice.
This is a large award for IT Services — above three-quarters of comparable contracts. Based on 36,449 valued IT Services tenders in our corpus.
Ordnance Survey Limited (OS) is preparing to commence a competitive procurement process aimed at creating a new Technology and Data Professional Services Framework.
This initiative is designed to secure access to a broad range of specialist technology and data services, ensuring robust support for OS programmes and projects.
Through this framework, OS will establish a streamlined route to market, enabling the efficient delivery of essential services across the organisation.
Suppliers awarded onto the framework will be required to provide suitably qualified professionals who meet specific role definitions, capability standards, and resource requirements set out by OS.
The framework will be structured into four Lots, each aligned to distinct service areas and capability requirements, enabling suppliers to bid for one or more Lots relevant to their expertise.
This lotting approach is designed to encourage broad market participation, including SMEs, while ensuring clear alignment between service requirements and supplier capability.
The proposed lot structure is expected to include the following high-level categories: Lot 1: Geospatial Applications - To support the OS’s ability to capture geospatial data both manually & automatically and integrate it into core company datasets.
Lot 2: General Software Development - To support the delivery of OS and third party data via online portals, API’s (Application Programming Interface), downloads (machine to machine and manual), data refining and data sharing capabilities.
Lot 3: General Testing Services - To support OS in the successful delivery of their products and services by providing additional functional and non-functional testing services.
Lot 4: AI Services - To support the OS’s ability to design, develop, and deploy intelligent (AI) solutions across our technical landscape, including agentic systems and other advanced AI capabilities.
These lot categories are indicative and may be refined as part of the procurement process to ensure alignment with organisational requirements and market capability.
Suppliers will be appointed to the framework following a competitive tender process and will be ranked within each lot based on the results of the tender process.
Call-off contracts will be awarded either through further competition among suppliers appointed to the relevant Lot or through a direct award mechanism.
It is anticipated that there will be up to three Suppliers appointed per Lot.
OS does not commit to any minimum spend under the framework.
Call-Offs either through further competition or direct award will be subject to requirements.
What the supplier must deliver
This initiative is designed to secure access
This initiative is designed to secure access to a broad range of specialist technology and data services, ensuring robust support for OS programmes and projects.
Suppliers awarded onto the framework will
Suppliers awarded onto the framework will be required to provide suitably qualified professionals who meet specific role definitions, capability standards, and resource requirements set out by OS.
The proposed lot structure is expected
The proposed lot structure is expected to include the following high-level categories:.
To support the OS’s ability to capture
To support the OS’s ability to capture geospatial data both manually & automatically and integrate it into core company datasets.
To support the delivery of OS
To support the delivery of OS and third party data via online portals, API’s (Application Programming Interface), downloads (machine to machine and manual), data refining and data sharing capabilities.
Derived from the notice text — always confirm against the original documents.
Make the case to bid
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- OCID
- ocds-h6vhtk-0516aa
- Stage
- planning · planned
- Source
- Find a Tender
- Buyer ref
- 048237-2026
Contains public sector information licensed under the Open Government Licence v3.0. Source data © Crown copyright.
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