---
title: "Adaptive DOE and advanced analytics Software"
ocid: "ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d.json"
source: "Contracts Finder"
current_stage: "Award"
buyer: "CENTRE FOR PROCESS INNOVATION LIMITED"
published: "2023-03-15"
---

# Adaptive DOE and advanced analytics Software

Buyer: CENTRE FOR PROCESS INNOVATION LIMITED  
Current stage: Award  
OCID: ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d

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## Summary

The Centre for Process Innovation Limited has awarded a contract for the provision of Machine Learning Software and Support Services. The contract, titled "Adaptive DOE and advanced analytics Software," falls under the services category with a value of £94,600. The procurement method used was direct, with a single tender action conducted below the threshold. The contract period begins on March 20, 2023, and extends until March 20, 2026, with the tender period ending on March 10, 2023.

This contract provides an opportunity for SMEs within the analytical, scientific, mathematical, or forecasting software package industry. Businesses specialising in machine learning software and support services, particularly those located in the North East region of the United Kingdom, may find this tender well-suited for competitive participation. The Centre for Process Innovation Limited, based in REDCAR, England, acted as the buying organisation in this procurement process, demonstrating a preference for engaging with small and medium-sized enterprises (SMEs) for this particular contract.

## Notice

Machine Learning Software and Support Services

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/5420a20c-f954-4d89-99bf-bf6725f9093a |
| Notice type | Award Notice |
| Procurement type | Standard |
| Procurement category | Services |
| Procurement method | Direct |
| Procurement method details | Single tender action (below threshold) |
| Tender suitability | SME |
| Awardee scale | SME |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 15 Mar 2023 |
| Submission deadline | 10 Mar 2023 |
| Future notice date | Not specified |
| Award date | 15 Mar 2023 |
| Contract period | 20 Mar 2023 - 20 Mar 2026 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £94,600 |
| Lots value | Not specified |
| Awards value | £94,600 |
| 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 | CENTRE FOR PROCESS INNOVATION LIMITED |
| Locality | REDCAR |
| Post town | Cleveland |
| Postcode | TS10 4RF |
| Country | England |
| ITL 1 | TLC North East (England) |
| ITL 2 | TLC3 Tees Valley |
| ITL 3 | TLC32 South Teesside |
| Local authority | Redcar and Cleveland |
| Electoral ward | Dormanstown |
| Westminster constituency | Redcar |
| Delivery location | TLC North East (England) |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | INTELLEGENS |

## CPV Codes

### Divisions

- 48 - Software package and information systems

### Codes

- 48460000 - Analytical, scientific, mathematical or forecasting software package

## Release History

- 15 Mar 2023 at 13:56 - Award - Award Notice - https://www.contractsfinder.service.gov.uk/Notice/5420a20c-f954-4d89-99bf-bf6725f9093a

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/5420a20c-f954-4d89-99bf-bf6725f9093a
  15th March 2023 - 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-f02798f6-d8a5-4224-b721-50b9991fb18d. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-f02798f6-d8a5-4224-b721-50b9991fb18d.json.