Warrington Cheshire, WA3 6BL,
United Kingdom
Croft Filters Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Croft Filters and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Croft Filters employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Croft Filters has purchased the following applications: ANSYS Additive Print for Additive Manufacturing in 2018, Amazon EC2 for Application Hosting and Computing Services in 2020, Tawk.to for Chatbots and Conversational AI in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Croft Filters is running and its propensity to invest more and deepen its relationship with Ansys Inc. , Amazon Web Services (AWS) , Tawk.to or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Croft Filters revenues, which have grown to $5.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Croft Filters intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Ansys Inc. | Legacy | ANSYS Additive Print | Additive Manufacturing | PLM and Engineering | n/a | 2018 | 2018 | In 2018, Croft Filters implemented ANSYS Additive Print, an Additive Manufacturing Solution for product development and prototyping within its engineering organization. The deployment targeted distortion and warpage issues caused by residual stresses in printed parts, shifting engineering workstreams away from purely trial and error toward simulation guided analysis. Configuration emphasis centered on distortion simulation and residual stress prediction capabilities in ANSYS Additive Print, with models parameterized for build orientation, support strategy and process thermal sequencing. Simulation outputs were used to generate corrective geometry offsets and to inform support placement and process parameter adjustments during prototype builds. Simulation results were consumed directly by engineering and production planners to guide build planning and iterative prototyping cycles, aligning design review steps with print qualification activities. The scope of use focused on product development and prototyping workflows rather than enterprise level PLM integrations. Operational governance introduced simulation review gates into the prototype approval process, standardizing when and how simulation validation must occur before printing. By using ANSYS Additive Print to guide distortion problem solving, Croft Filters cut solution time in half and reduced prototyping expenses by about the same amount while addressing the risk of residual stress induced warpage. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 | ||
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Content Delivery Network | IaaS |
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2019 | 2019 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Tawk.to | Legacy | Tawk.to | Chatbots and Conversational AI | AI-Powered Application | n/a | 2021 | 2021 |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2016 | 2016 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Customer Experience | CRM |
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2011 | 2011 |
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Customer Experience | CRM |
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2014 | 2014 |
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Customer Experience | CRM |
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2020 | 2020 |
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Marketing Analytics, Lead Generation | CRM |
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2012 | 2012 |
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