---
title: "NPCC ANPR Analytics Tool"
ocid: "ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "Police Digital Service"
published: "2026-08-13"
---

# NPCC ANPR Analytics Tool

Buyer: Police Digital Service  
Current stage: Award  
OCID: ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc

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## Summary

The Police Digital Service procured an analytics software service for the National ANPR System. The tool processes exported NAS CSV files to identify vehicles of interest and unusual patterns, enabling analysts to produce intelligence packs for local police teams and inform potential county lines-related stop-and-search activity. This is a machine-learning development phase for the NPCC ANPR Analytics Tool, intended to deliver region-specific county lines insights and evidence for possible wider national adoption across regional organised crime units and other crime types. The work is classified as software packages and information systems and is delivered in the United Kingdom. The requirement is a service and was identified as suitable for small and medium-sized enterprises.

The procurement has been awarded and is complete. It used a selective procedure as a call-off from a framework agreement. The tender submission deadline was 3 July 2026 at 2pm, and the contract was awarded to Faculty Science Limited on 10 July 2026. The awarded value is £527,497.50 including the stated currency of GBP. The contract period runs from 20 July 2026 to 31 December 2026. The award is active. There is one requirement rather than separate lots. The procurement concerns machine-learning development and analytics capability for the existing ANPR tool; the recorded procurement category is services. The source describes the operational purpose and prior trials, but records no separate evaluation weighting or award criteria.

This award shows demand for suppliers able to develop and improve machine-learning tools that work with National ANPR System data, including reliable processing of exported CSV files, vehicle-of-interest identification and detection of unusual patterns. Relevant capability includes data science, machine-learning model development, analytics product engineering and the conversion of analytical outputs into intelligence packs that police analysts can use. Experience of county lines investigations, stop-and-search intelligence, regional organised crime units or policing data would be directly relevant to the requirement. Credible competitors would need to combine technical delivery with an understanding of operational policing, regional variation and the governance needed to support wider use of an analytics tool across police organisations and crime types.

## Notice

The AAT identifies vehicles of interest (VOIs) by using the National ANPR System (NAS). The AAT allows users to upload NAS exported .CSVs and, once processed, it provides analysis on the data by identifying VOIs and unusual patterns. Analysts can then create intelligence packs to inform local police on potential County lines related stop and search opportunities. The tool was trialled by the North West (NW) ROCU in 2022 and then, due to significant increases in the success rate of CL-related stop and searches, the trial was expanded in 2024 under Operation Ignition to an additional 2 ROCUs - Yorkshire & Humber (YH) and South East (SE) ROCUs. During that second trial, areas of tool development were identified, alongside the need for further ML in order that the tool could be made more widely available across all ROCUs and other crime types in the future. This Machine Learning (ML) phase will ensure that the AAT can deliver region specific insights into County lines and provide the evidence required to inform future national adoption.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/c04981cd-2522-4c06-ad1b-9f7e1ca6aa87 |
| Notice type | Award Notice |
| Procurement type | Framework |
| Procurement category | Services |
| Procurement method | Selective |
| Procurement method details | Call-off from a framework agreement |
| Tender suitability | SME |
| Awardee scale | Large |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 13 Aug 2026 |
| Submission deadline | 3 Jul 2026 |
| Future notice date | Not specified |
| Award date | 10 Jul 2026 |
| Contract period | 20 Jul 2026 - 31 Dec 2026 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £527,497 |
| Lots value | Not specified |
| Awards value | £527,497 |
| 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 | Police Digital Service |
| Locality | LONDON |
| Postcode area | Central London |
| Postcode | EC2M 4WN |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI4 Inner London - East |
| ITL 3 | TLI43 Haringey and Islington |
| Local authority | Islington |
| Electoral ward | Clerkenwell |
| Westminster constituency | Islington South and Finsbury |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | Faculty Science Limited |

## CPV Codes

### Divisions

- 48 - Software package and information systems

### Codes

- 48000000 - Software package and information systems

## Release History

- 13 Aug 2026 at 10:20 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/c04981cd-2522-4c06-ad1b-9f7e1ca6aa87

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/c04981cd-2522-4c06-ad1b-9f7e1ca6aa87
  13th August 2026 - Awarded contract notice on Contracts Finder

## 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-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-7dec97af-4fb4-4c86-8545-946d97e42abc.json.