Stellenbosch, 7600,
South Africa
Pollen Finance Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Pollen Finance and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 30 Pollen Finance employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Pollen Finance has purchased the following applications: Microsoft 365 for Collaboration in 2016, Glib AI Platform for Intelligent Document Processing in 2024, Calltracking Platform for Call Tracking and Recording in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Pollen Finance is running and its propensity to invest more and deepen its relationship with Microsoft , Glib.ai , Automattic 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 Pollen Finance revenues, which have grown to $3.0 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 Pollen Finance 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.
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Glib.ai | Legacy | Glib AI Platform | Intelligent Document Processing | Content Management | n/a | 2024 | 2024 |
In 2024, Pollen Finance deployed the Glib AI Platform to operationalize Intelligent Document Processing for its MSME lending and credit appraisal workflows across South Africa and Namibia. The Glib AI Platform was applied directly to lending operations to automate bank statement ingestion and to generate market-specific credit appraisal outputs, aligning the application name Glib AI Platform with the Intelligent Document Processing category and Pollen Finance lending functions.
The implementation centered on three functional modules, Automated Bank Statement Analysis, an Enhanced Credit Appraisal Memo module, and Tailored Market Analytics. The Automated Bank Statement Analysis used Glib.ai’s IDP capabilities to extract, validate, and categorize transactions from roughly 200 monthly statements, 90% of which were in searchable formats, delivering reported extraction accuracy of 99.5 percent. The Enhanced Credit Appraisal Memo module produced CAM sheets aligned to South African financial standards capturing cash flow patterns, spending behavior, and financial health indicators, with automated CAM generation reducing preparation time by over 85 percent.
Integration and deployment were executed with on-premise infrastructure and API connectivity to Pollen Finance’s digital lending platforms, ensuring data residency and compliance with South African data protection laws. The solution workflow was instrumented end to end, from customer submission of statements through IDP categorization, cross-validation of extracted data, automated CAM generation, and market-specific analytics feeding AI-driven scoring to accelerate credit decisioning and disbursal.
Operational governance included staged rollout and testing, with User Acceptance Testing beginning in December 2024 and an expected production delivery by the end of January 2025. Process changes shifted routine manual review tasks toward automated extraction and CAM preparation, enabling underwriting teams to focus on exception handling and strategic decision-making while maintaining auditability and compliance controls within the on-premise deployment.
Documented outcomes from the Glib AI Platform deployment include an estimated 80 percent reduction in manual effort for statement processing and CAM preparation, a reported reduction in turnaround time from 24 hours to 12 hours, and a potential 20 percent increase in disbursals enabled by faster decisioning. The instantiated Intelligent Document Processing framework preserved regulatory compliance through on-premise hosting, delivered 99.5 percent extraction accuracy as stated, and established a scalable architecture to support higher loan volumes without proportionate increases in operational cost.
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Web Content Management | Content Management |
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2017 | 2017 |
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Web Content Management | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Calltracking | Legacy | Calltracking Platform | Call Tracking and Recording | CRM | n/a | 2016 | 2016 |
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Customer Experience | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2015 | 2015 |
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Tag Management | CRM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2023 | 2023 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Security (AppSec) | CyberSecurity |
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2022 | 2022 |
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Identity and Access Management (IAM) | CyberSecurity |
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2024 | 2024 |
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