Award

AISI - AI Research - Multi modal models, Jailbreaking pipeline, Bio data obfuscation and Spear-phishing

BEIS

This public procurement record has 1 release in its history.

Award

16 Jan 2024 at 10:04

Summary of the contracting process

The Department for Business, Energy & Industrial Strategy (BEIS) has awarded a contract for AI Research to Faculty Science Ltd. The tender titled "AI Research for the AI Safety Institute - Multi modal models, Jailbreaking pipeline, Bio data obfuscation and Spear-phishing" falls under the Research and Development services category. The procurement method used was Direct Award, with a contract value of GBP 1,054,475. The tender period ended on January 1, 2024, with a contract period from January 11, 2024, to April 11, 2024. The project is located in London, United Kingdom.

This tender from BEIS provides an opportunity for businesses, especially those in the AI research and development sector, to grow their operations. Small and medium-sized enterprises (SMEs) would find this tender particularly suitable due to its focus on AI research. Businesses interested in multi modal models, jailbreaking pipeline, bio data obfuscation, and spear-phishing technologies are well-suited to compete for this contract. With a contract already awarded, interested parties can explore collaboration or subcontracting possibilities with the winning supplier, Faculty Science Ltd.

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Notice Title

AISI - AI Research - Multi modal models, Jailbreaking pipeline, Bio data obfuscation and Spear-phishing

Notice Description

AI Research for the AI Safety Institute - Multi modal models, Jailbreaking pipeline, Bio data obfuscation and Spear-phishing.

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-858dff65-a20e-47ad-88f8-d3a6650e4936
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/a887ffd6-1942-4893-88f5-bceae5d1e041
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Standard
Procurement Category
Works
Procurement Method
Not Specified
Procurement Method Details
Other - Direct Award
Tender Suitability
SME
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services


CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£1,054,475 £1M-£10M
Lots Value
Not specified
Awards Value
£1,054,475 £1M-£10M
Contracts Value
Not specified

Notice Dates

Publication Date
16 Jan 20242 years ago
Submission Deadline
1 Jan 2024Expired
Future Notice Date
Not specified
Award Date
1 Jan 20242 years ago
Contract Period
11 Jan 2024 - 11 Apr 2024 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Contracting Authority (Buyer)

Main Buyer
BEIS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SW1A 2BQ
Post Town
South West London
Country
England

Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
TLI London

Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

FACULTY SCIENCE

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

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