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Company profile

Auquan Ltd

Auquan | Important Insights First

Generate insights, create custom datasets or receive real-time updates from unstructured data in minutes

CRN
11437288
Founded
2018
Age
8

Overview

Legal name
AUQUAN LTD
Region
Unknown
Registered address
OFFICE # 01 - 107
5 MERCHANT SQUARE
LONDON
ENGLAND
W2 1AY
Insolvency history
No

Company events

Reference milestones and recent Companies House filing stream events.

11 events
31 Mar
2027

Accounts due

Accounts Due

Next accounts due date

26 Jan
2027

Confirmation statement due

Confirmation Due

Next confirmation statement due date

12 Jan
2026

Confirmation statement filed

Confirmation

Last confirmation statement made up date

30 Jun
2025

Accounts filed

Accounts

Last accounts made up date

12 Nov
2024

Capital Allotment Shares

Capital

SH01 | Transaction MzQ0MjgwMDM0M2FkaXF6a2N4

Published 12 Nov 2024 11:50

12 Nov
2024

Capital Allotment Shares

Capital

SH01 | Transaction MzQ0MjgwMDIzMWFkaXF6a2N4

Published 12 Nov 2024 11:49

12 Nov
2024

Capital Allotment Shares

Capital

SH01 | Transaction MzQ0Mjc5OTg4OGFkaXF6a2N4

Published 12 Nov 2024 11:47

12 Nov
2024

Capital Allotment Shares

Capital

SH01 | Transaction MzQ0Mjc5ODkyM2FkaXF6a2N4

Published 12 Nov 2024 11:41

12 Nov
2024

Capital Allotment Shares

Capital

SH01 | Transaction MzQ0Mjc5NzY5NmFkaXF6a2N4

Published 12 Nov 2024 11:33

20 Aug
2024

Accounts With Accounts Type Micro Entity

Accounts Awaiting analysis

AA | Transaction MzQzMjc2ODA1MWFkaXF6a2N4

Published 20 Aug 2024 15:01

28 Jun
2018

Incorporated

Inception

Company registered at Companies House

Public funding

5 awards
First funded
2022
Funded years
2022, 2023, 2024
Age at first award
3 years

Projects

2024 Unknown Lead participant

Leveraging GenAI on unstructured and geospatial data sets to develop first of its kind risk/price benchmark for "nature positive" risk metrics to facilitate discovery by private investors

1 Sep 2024 to 31 May 2025

Awarded
£236,194
Total cost £337,420

Nature-Positive is a global societal goal defined as 'Halt and Reverse Nature Loss' by 2030 on a 2020 baseline. Nature positive puts nature at the centre of business decision-making, in the same way as financial returns and human wellbeing. The challenge is that the market known as "nature finance" is in its infancy, not least because there remains no eas...

2024 Collaborative R&D Lead participant

Pioneering "RAG AI" (Retrieval Augmented Generation) to address drawbacks of generative AI for risk intelligence and develop a personalised and comprehensive KYC/KYB risk monitoring tool

1 May 2024 to 30 Apr 2025

Awarded
£199,663
Total cost £285,233

Information overload is a common problem, particularly in data-heavy industries like professional and financial services, specifically in regulatory compliance, where keeping track of regulatory developments across multiple geographies and asset classes is a major challenge. Unstructured text such as KYC/KYB risks and the associated discussions, contain m...

2023 Collaborative R&D Lead participant

Developing a "state of the art" reasoning engine to extract forward looking and actionable insights for financial institutions from unstructured data sets

1 Apr 2023 to 31 Mar 2024

Awarded
£199,681
Total cost £285,259

Information overload is a common problem, particularly in data-heavy industries like professional and financial services, specifically in regulatory compliance, where keeping track of regulatory developments across multiple geographies and asset classes is a major challenge. Unstructured text such as regulatory updates and the associated discussions, cont...

2022 Small Business Research Initiative Lead participant

An Innovative Knowledge Graph approach to extract high volumes of climate and environmental structured and unstructured data

1 Jun 2022 to 31 Aug 2022

Awarded
£49,759
Total cost £49,759

Information overload is a common problem, particularly in data heavy industries like finance. Unstructured text, such as company reports, news, transcripts, emails and memos, contain much valuable information that is often missed by data analysts and key decision makers, for example when assessing risk and investments. Access to scientifically robust clim...

2022 Collaborative R&D Lead participant

Developing a knowledge inference and reasoning engine to extract meaningful insights from unstructured data using a novel neighbourhood graph approach

1 May 2022 to 30 Apr 2023

Awarded
£277,549
Total cost £396,498

Information overload is a common problem, particularly in data heavy industries like finance. Unstructured text, such as company reports, news, transcripts, emails and memos, contain much valuable information that is often missed by data analysts and key decision makers, for example when assessing risk and investments. Current solutions do not visually di...

Product types

Collaborative R&D Small Business Research Initiative Unknown