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Company profile

Plural Ai Limited

Plural AI, the knowledge engine for finance

Plural AI is an AI-enabled platform designed to help finance professionals manage their knowledge and make better investment decisions. We use cutting-edge tech to turn complex problems into easy solutions.

CRN
11048197
Founded
2017
Age
8

Overview

Legal name
PLURAL AI LIMITED
Region
East of England
Registered address
FARNELL CLARKE
EVOLUTION HOUSE ICENI COURT
DELFT WAY
NORWICH INTERNATIONAL AIRPORT
NORFOLK
UNITED KINGDOM
NR6 6BB
Insolvency history
No

Latest accounts

Financial period: 1 Jan 2024 to 31 Dec 2024

FULLACCOUNTS
Turnover
Unknown
Profit / Loss
Unknown
Employees
6

Company events

Reference milestones and recent Companies House filing stream events.

6 events
30 Sep
2027

Accounts due

Accounts Due

Next accounts due date

14 Nov
2026

Confirmation statement due

Confirmation Due

Next confirmation statement due date

31 Dec
2025

Accounts filed

Accounts

Last accounts made up date

31 Oct
2025

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Oct
2024

Confirmation Statement With Updates

Confirmation-statement

CS01 | Transaction MzQ0MTYwNTQyOGFkaXF6a2N4

Published 31 Oct 2024 12:34

06 Nov
2017

Incorporated

Inception

Company registered at Companies House

Public funding

2 awards
First funded
2019
Funded years
2019, 2020
Age at first award
1 years

Projects

2020 Feasibility Studies Lead participant

A data-driven 'knowledge engine' for financial analysis [continuity grant for project 33269]

1 Jun 2020 to 30 Nov 2020

Awarded
£81,582
Total cost £271,940

no public description

2019 Collaborative R&D Lead participant

A data-driven 'knowledge engine' for financial analysis

1 Oct 2019 to 31 Jan 2021

Awarded
£346,675
Total cost £495,250

Investment into companies is a fundamental driver of economic growth and competitiveness, helping to foster innovation and improve productivity, however research shows that 60% of M&A deals actually destroy value. The global M&A market is valued at ~$4 trillion, meaning ~$2.4 trillion is wasted. This can be attributed to poor quality data and unscientific...

Product types

Collaborative R&D Feasibility Studies