Company Active LTD

Company profile

Claytex Services Limited

Simulation solutions for systems engineering and virtual testing - Claytex

Modelling and simulation solutions for automotive, aerospace and building systems focused on systems engineering and virtual testing of complex systems

CRN
03539836
Founded
1998
Age
28

Overview

Legal name
CLAYTEX SERVICES LIMITED
Region
West Midlands
Registered address
EDMUND HOUSE, RUGBY ROAD
LEAMINGTON SPA
WARWICKSHIRE
CV32 6EL
Insolvency history
No

Corporate ownership

Updated 06 Jun 2026 16:52

1 level 1 ultimate controller
1
Company Active LTD
Claytex Services Limited
CRN 03539836
2
Direct and ultimate controller
556291-3185
CRN 556291-3185

Company events

Reference milestones and recent Companies House filing stream events.

5 events
05 May
2027

Confirmation statement due

Confirmation Due

Next confirmation statement due date

30 Sep
2026

Accounts due

Accounts Due

Next accounts due date

21 Apr
2026

Confirmation statement filed

Confirmation

Last confirmation statement made up date

31 Dec
2024

Accounts filed

Accounts

Last accounts made up date

02 Apr
1998

Incorporated

Inception

Company registered at Companies House

Public funding

6 awards
First funded
2015
Funded years
2015, 2017, 2019, 2020, 2023
Age at first award
16 years

Projects

2023 BEIS-Funded Programmes Lead participant

Sim4CAMSens

1 Sep 2023 to 31 Mar 2025

Awarded
£600,407
Total cost £1,200,814

**An exciting project focussed on developing and maturing the simulation, modelling and physical testing supply chain for UK-centric CAM perception sensor and systems developers.** Sim4CAMSens will build a UK supply chain that will advance the quality of modelling, simulation, test and characterisation capability in the UK to accelerate and de-risk the de...

2023 BEIS-Funded Programmes

DeepSafe: High-definition sensor-real edge-case training frameworks for the next generation of robustly trained AVs

1 Aug 2023 to 31 Mar 2025

Awarded
£298,072
Total cost £596,144

Autonomous Vehicle (AV) pilot studies have demonstrated that AVs can handle "normal" driving; 99% of our day-to-day driving experience. However it is proving harder than expected to train AVs to deal with the multitudinous unusual events that can happen on the road, known as edge-cases. When an AV fails to understand an edge-case, driving behaviour become...

2020 Collaborative R&D

Synthetic EnvironmEnt Risk analytics for autonomous UAS (SEER)

1 Dec 2020 to 31 May 2022

Awarded
£146,140
Total cost £208,772

This project will combine risk analytic methods with high-fidelity physics-realistic simulations to rigorously assess the first- and third-party risk associated with Unmanned Aircraft Systems (UAS) and Urban Air Mobility (UAM). The project-level outputs from phase 2 will be an online risk analytics tool and a realistic physics-based simulation environment...

2019 Collaborative R&D

D-RISK: Validating the autonomous vehicle safety-case using simulation and adaptive test generation

1 Nov 2019 to 30 Sep 2022

Awarded
£304,573
Total cost £435,104

"**Need.** Simulation will be a vital component in the Connected Autonomous Vehicle (CAV) safety-case, enabling the validation and certification of autonomous Vehicle Control Systems (VCS). This is essential in cities where the density and diversity of other agents, including road-users, pedestrians, infrastructure and signage, as well as intermodal-conne...

2017 Collaborative R&D

StreetWise

1 Sep 2017 to 31 Mar 2020

Awarded
£147,008
Total cost £210,342

StreetWise aims to develop and demonstrate the technology, safety validation methods, insurance and service models for delivering an autonomous personal mobility solution targeted at replacing the urban commuter car. The project will show that the technology is now sufficiently mature to be safe in urban environments, sufficiently intelligent to co-exist ...

2015 Collaborative R&D

MOdel-based Real-time Systems Engineering (MORSE)

1 Jan 2015 to 31 Dec 2016

Awarded
£154,327
Total cost £269,369

In today's competitive market, Automotive Manufacturers and Suppliers must achieve faster time to market as well as improved quality and reliability. Additionally they must satisfy customer and regulatory demand for greater powertrain efficiency and refinement. Product development and design must be optimised and verified with limited number of available ...

Product types

BEIS-Funded Programmes Collaborative R&D