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DSIT - Revelio Labs

Department for Science, Innovation & Technology

This public procurement record has 3 releases in its history.

Award

26 Aug 2026 at 12:06

UK7 - Contract Details Notice
Award

12 Aug 2026 at 15:36

UK6 - Contract Award Notice
Award

04 Aug 2026 at 15:50

UK5 - Transparency Notice
Summary of the contracting process

The Department for Science, Innovation & Technology, through its AI Security Institute, procured access to an existing commercial workforce-intelligence dataset. The requirement is for data supply rather than consultancy or bespoke analytical services. The dataset is intended to provide granular firm-level information such as job postings, employee profiles, skill taxonomies and workforce flows. DSIT will use it to examine how artificial intelligence changes skill demand and workforce composition, validate measures of AI exposure, study early-career labour-market outcomes, inform retraining and education policy, and identify early indicators of wider employment disruption. The buyer is based in London. The selected supplier, Revelio Labs, is an SME based in New York, United States. The work is classified as data supply services under CPV 72319000.

The procurement is complete and was awarded through a direct award. The stated rationale was an urgent requirement, following market engagement through the Sparks DPS that produced no viable supplier able to meet the need; the department identified Revelio Labs as suitable. One lot was completed. The award was dated 12 August 2026 to Revelio Labs for £80,000 excluding VAT, or £96,000 including VAT. A further active award entry names the same supplier. The contract was signed on 25 August 2026 and runs from 26 August 2026 to 25 August 2027. The active contract value is £50,000 excluding VAT, or £60,000 including VAT. The arrangement has no extension options and was evaluated on single-supplier technical reasons.

This procurement indicates demand from DSIT for established, commercially available workforce-intelligence data that can support public-policy research on artificial intelligence and labour markets. Suppliers seeking to compete when a comparable requirement returns would need a substantial, structured dataset covering job postings, employee or workforce profiles, skills, firm-level characteristics, workforce flows and career trajectories. The data should support comparisons between firms adopting AI and those that are not, measurement of changing skill composition, replication of published research, and monitoring of emerging skill gaps. Credible providers would also need to demonstrate data granularity, analytical usefulness, UK policy relevance and the ability to supply access rather than consultancy. Experience supporting rigorous quantitative research, evidence validation and early-warning analysis would strengthen their position with this buyer.

How relevant is this notice?

Notice Information

Notice Title

DSIT - Revelio Labs

Notice Description

This procurement is a proportionate, time-limited 12-month data access arrangement designed to meet an urgent evidence need for DSIT/AI Security Institute. The requirement is for access to an existing commercial workforce intelligence dataset, rather than consultancy or bespoke analytical services, and will enable DSIT to test, validate and strengthen the evidence base on AI adoption and labour market impacts. The arrangement is capped at PS80,000, with no extension options or open-ended spend commitment, and will be managed within existing programme budgets and governance. DSIT's AI Security Institute is looking to direct award Revelio Labs for workforce intelligence data to support DSIT's research programme on AI adoption and its impact on the labour market, with a particular focus on skill dynamics, workforce composition, and career trajectories. Objectives: 1. Understand how AI adoption reshapes skill demand and supply at the firm level. By acquiring granular, firm-level workforce data (job postings, employee profiles, skill taxonomies, and workforce flows), DSIT's AI & the Future of Work Unit will measure how skill composition evolves at firms actively adopting AI compared to those that are not. 2. Provide an empirical benchmark for AI exposure measurement. Workforce intelligence data enables DSIT to identify which skills actually co-occur with AI adoption at the firm level, providing ground-truth validation of theoretical classifications and improving future measurement frameworks. 3. Replicate and extend published research on early-career labour market outcomes. To credibly replicate, validate, and extend these estimates for UK policy purposes, DSIT requires access to comparable data of equivalent granularity and structure. 4. Inform UK workforce and education policy. The evidence generated will directly support policy advice on (examples): which skills retraining programmes should prioritise; where skill gaps are emerging; how curricula should adapt to changing employer expectations; and whether skill dynamics can serve as leading indicators of broader labour market disruption. 5. Establish early warning capability. By tracking skill shifts that may precede larger employment effects, DSIT aims to build an analytical early warning system that identifies workforce risks before they become visible in aggregate official statistics. The Arrangement is intended to be entered into by the Secretary of State for Science, Innovation and Technology. It is anticipated that the rights and liabilities of the Secretary of State for Science, Innovation and Technology, including those arising under this Arrangement once executed, will in due course transfer to the Secretary of State for the Cabinet Office pursuant to an Order in Council (secondary legislation) made under section 2 of the Ministers of the Crown Act 1975.

Procurement Information

We are looking to direct award this contract after a market engagement EOI was conducted under the Sparks DPS with no viable supplier who can conduct this requirement. The EOI responses were moderated and reviewed by the department's data aquisition team and they confirmed given the urgency of this requirement, we should direct award this tender following no suitable suppliers. This tender will aid the work that is carried out by the AI Security Institiute (AISI) in DSIT. The AISI team found a supplier in the US (Revelio Labs) who are able to carry out these requirements and this was also reviewed by DSIT's data aquisition team which they were satisfied with. We will advise Revelio Labs to join a DPS Framework.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06db98
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/081204-2026
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Direct award
Tender Suitability
Not specified
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72319000 - Data supply services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
£80,000 Under £100K
Contracts Value
£50,000 Under £100K

Notice Dates

Publication Date
26 Aug 20261 months ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
12 Aug 20261 months ago
Contract Period
26 Aug 2026 - 25 Aug 2027 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Active

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Department for Science, Innovation & Technology
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 2EG
Postcode Area
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
Not specified
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

Revelio Labs

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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