Jersey City, 7302, NJ,
United States
Sagesure Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Sagesure and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1500 Sagesure employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Sagesure has purchased the following applications: Quantemplate Analytics for Analytics and BI in 2019, One Platform for Insurance Claims Management in 2022, Quantemplate Machine Learning for ML and Data Science Platforms in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Sagesure is running and its propensity to invest more and deepen its relationship with Quantemplate , One Inc 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 Sagesure revenues, which have grown to $250.0 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 Sagesure 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Quantemplate | Legacy | Quantemplate Analytics | Analytics and BI | Analytics and BI | n/a | 2019 | 2019 | In 2019, Sagesure implemented Quantemplate Analytics to automate data preparation, storage and self service BI across its managing general underwriting operations. The deployment emphasized Analytics and BI capabilities to standardize underwriting reporting and broaden access to analytical datasets for business teams. Quantemplate Analytics was configured to centralize data ingestion and ETL workflows, enforce standardized data mapping and curate unified analytical datasets used for reporting and underwriting analysis. The implementation included persistent data storage and model curation, transformation pipelines and published reporting artifacts to enable business consumption. Configuration prioritized repeatable pipelines for underwriting data and templated reports aligned to managing general agency workflows. Operational scope targeted underwriting and operations functions, with reporting use cases prioritized to support rapid product and geographic expansion in the United States. Public materials do not enumerate specific third party integrations, the project documentation highlights automated data preparation and storage as the technical foundation. The deployment produced self service BI artifacts and operational dashboards intended for underwriting decision support and routine reporting. Governance activities established data stewardship and access controls to democratize data access across business teams, coupled with curated datasets and role based access for reporting and analysis. The implementation focused on operationalizing reporting for underwriting and operations and supported Sagesure in scaling product offerings and geographic coverage as described in the vendor announcement. |
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| One Inc | Legacy | One Platform | Insurance Claims Management | ERP Services and Operations | n/a | 2022 | 2022 | In 2022, Sagesure expanded its use of One Inc's One Platform to add outbound digital claims disbursements as part of its Insurance Claims Management capabilities. The implementation centralized inbound and outbound payment flows on One Platform, creating a single payment orchestration layer to support digital claims payouts across the United States. One Platform was configured to deploy outbound digital claims disbursements using One Inc's ClaimsPay functionality and to consolidate inbound and outbound payments into a unified payment processing workflow. Functional capabilities implemented included digital payee routing and choice, enabling payees to receive funds via Venmo and PayPal, and transaction handling designed to speed and secure claims payments as part of the insurer's claims payment lifecycle. Operational coverage focused on claims operations, payments and customer service touchpoints, with the One Platform rollout scoped to U.S. claims disbursements and payee channel management. The deployment required integration of payee channels Venmo and PayPal into the insurer payment routing logic, and aligned payment handling with existing claims adjudication and customer communication processes. Governance changes emphasized centralizing payment orchestration and updating reconciliation and payment workflows to support both inbound and outbound flows on One Platform. The stated objectives of the 2022 implementation were to speed and secure claims payments, reduce processing costs, and create a more cohesive customer payment experience. |
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Quantemplate | Legacy | Quantemplate Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2019 | 2019 | In 2019, Sagesure implemented Quantemplate Machine Learning, an ML and Data Science Platforms application, to centralize data preparation, storage and business intelligence for its US residential property business. The deployment targeted underwriting teams and program growth initiatives, consolidating disparate data streams into a single preparation and storage layer. Sagesure configured Quantemplate Machine Learning to apply AI-driven mapping and automated data preparation workflows, enabling consistent feature engineering and standardized datasets for downstream analytics. The implementation included model training orchestration and dataset versioning capabilities typical of ML and Data Science Platforms, configured to support underwriting analytics and pricing model inputs. These capabilities were used to democratize access to prepared data and accelerate reporting for actuarial and underwriting stakeholders. The unified data layer supported underwriting decision processes and program management workflows across the United States, focusing operational coverage on US residential property underwriting and program teams. Governance emphasized data stewardship, standardized preparation pipelines and self-service reporting to reduce manual ETL handoffs between actuarial and underwriting functions. The initiative aimed to support underwriting and program growth by delivering faster, more consistent data for business intelligence and model development. |
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