--- title: "Improving Environment Data" ocid: "ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac" canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac" markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac.md" json_url: "https://d3tenders.com/contract/ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac.json" source: "Contracts Finder" current_stage: "Award" buyer: "THE NATIONAL LOTTERY COMMUNITY FUND" published: "2026-07-24" --- # Improving Environment Data Buyer: THE NATIONAL LOTTERY COMMUNITY FUND Current stage: Award OCID: ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac [View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac) [Download OCDS JSON](https://d3tenders.com/contract/ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac.json) ## Summary The procurement process for the "Improving Environment Data" project, led by The National Lottery Community Fund, has reached the award stage. This initiative falls under the research and development services industry category and aims to enhance data on environmental projects supported by the Fund. The awarded contract, valued at £74,937, commenced on 28 October 2025 and is expected to conclude on 30 April 2026. It encompasses services across locations including the United Kingdom, British Overseas Territories, and the Channel Islands. Although the procurement method was not specified, the process was initiated via tender. This contract presents significant opportunities for businesses specialising in research and development services, particularly those with expertise in machine learning and environmental data analysis. Small and medium-sized enterprises (SMEs) are encouraged to engage in similar opportunities as the procurement was deemed suitable for them. The project involves collaboration with the Fund’s Evidence and Impact Team, offering valuable exposure and the potential for long-term partnerships in the environmental consultancy domain. ## Notice The National Lottery Community Fund want to better understand and communicate the wide range of activities that community organisations undertake that benefit the environment. This project will establish a sound foundation from which we can generate quality data about the environment projects we fund. An external supplier (possibly a partnership of specialist expertise) is being procured to work with our Evidence and Impact Team and others in the Fund. It will combine two related (but distinct) workstreams into one project for efficiency and synergies: A. Environment Projects Typology - This will establish a common Proof of Concept (PoC) typology for the types of environmental projects that we fund. This work will: review, further develop, and test our typology(s) of environmental projects using machine learning (AI) that classifies the nature of the work we receive applications for and support, and proposes a sound typology for the future, including considerations on how we use and improve it in the short and medium terms. B. Improve Climate Action Fund (CAF) programme monitoring data - This will create a Monitoring Framework that works for the current CAF funded projects as well as future environmental funding in our UK Portfolio. This work will review current monitoring requirements and identify future requirements; assess options for approaches for data capture, analysis and reporting; refine and test existing survey tool; create implementation plan; and complete report on what is known about CAF to date. ## Key Details | Field | Value | | --- | --- | | Publication source | Contracts Finder | | Latest notice | https://www.contractsfinder.service.gov.uk/Notice/9b51c508-7b01-4548-8890-509fbae72a3a | | Notice type | Award Notice | | Procurement type | Standard | | Procurement category | Services | | Procurement method | Not Specified | | Procurement method details | Not specified | | Tender suitability | SME | | Awardee scale | Large | | All stages | Award | ## Dates | Field | Value | | --- | --- | | Publication date | 24 Jul 2026 | | Submission deadline | 8 Sep 2025 | | Future notice date | Not specified | | Award date | 21 Oct 2025 | | Contract period | 28 Oct 2025 - 30 Apr 2026 | | Recurrence | Not specified | ## Values | Field | Value | | --- | --- | | Tender value | £74,937 | | Lots value | Not specified | | Awards value | £74,937 | | Contracts value | Not specified | ## Status | Field | Value | | --- | --- | | Tender status | Complete | | Lots status | Not specified | | Awards status | Active | | Contracts status | Not specified | ## Buyer | Field | Value | | --- | --- | | Main buyer | THE NATIONAL LOTTERY COMMUNITY FUND | | Locality | BIRMINGHAM | | Post town | Birmingham | | Postcode | B15 1TR | | Country | England | | ITL 1 | TLG West Midlands (England) | | ITL 2 | TLG3 West Midlands | | ITL 3 | TLG31 Birmingham | | Local authority | Birmingham | | Electoral ward | Edgbaston | | Westminster constituency | Birmingham Edgbaston | | Delivery location | Not specified | ## Supplier | Field | Value | | --- | --- | | Number of suppliers | 1 | | Supplier names | CAG CONSULT LLP (TRADING AS CAG CONSULTANTS | ## CPV Codes ### Divisions - 73 - Research and development services and related consultancy services ### Codes - 73000000 - Research and development services and related consultancy services ## Release History - 24 Jul 2026 at 12:32 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/9b51c508-7b01-4548-8890-509fbae72a3a ## Documents - https://www.contractsfinder.service.gov.uk/Notice/9b51c508-7b01-4548-8890-509fbae72a3a 24th July 2026 - Awarded contract notice on Contracts Finder ## Notice URLs - https://www.tnlcommunityfund.org.uk ## Provenance This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-426814a6-f997-4768-b54f-17f095be6fac.json.