Anapolis, 75080-410,
Brazil
Unimed Technographics
Unimed Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Unimed and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150000 Unimed employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Unimed has purchased the following applications: Metadados Vibe for Performance and Goal Management in 2019, Hi Platform Chat for Chatbots and Conversational AI in 2012, UpFlux Process Mining for Process Mining 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 Unimed is running and its propensity to invest more and deepen its relationship with Metadados , Kenoby , Interact Solutions 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 Unimed revenues, which have grown to $3.00 billion 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 Unimed 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.
Unimed Tech Stack and Enterprise Applications
Unimed HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Metadados | Legacy | Metadados Vibe | Performance and Goal Management | HCM | n/a | 2019 | 2020 |
In 2019, Unimed Nordeste-RS contracted Metadados to modernize HR across payroll, recruitment, occupational health and training in Brazil. The engagement deployed the Metadados HR suite and is inferred to include Metadados Vibe, with Metadados Vibe positioned in the Performance and Goal Management category to centralize performance and goal workflows within HR operations.
Functional scope spanned payroll administration, recruitment processing, occupational health case management and training administration, and the implementation is inferred to have configured Performance and Goal Management capabilities. Metadados Vibe is inferred to provide standard Performance and Goal Management workflows such as goal setting, appraisal workflows, performance tracking and alignment of development plans with training modules, reflecting common category capabilities for objective management and employee performance lifecycle.
Operationally the effort covered Unimed Nordeste-RS HR teams in Brazil and focused on digitizing processes and standardizing HR workflows across the specified domains. Governance and rollout emphasized process digitization and operational consistency in HR execution, and reported outcomes included greater digitalization and expected efficiency gains following the Metadados deployment.
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Recruiting, Applicant Tracking System | HCM |
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2021 | 2021 |
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Succession and Leadership Planning, Talent Management | HCM |
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2016 | 2018 |
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Unimed AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Hi Platform | Legacy | Hi Platform Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2012 | 2012 |
In 2012, Unimed implemented Hi Platform Chat as its website conversational interface. Unimed is a Brazil based healthcare cooperative with 150000 employees and deployed Hi Platform Chat on its public website to handle member and patient inquiries through an embedded chat channel.
The deployment uses a web chat widget providing conversational flows, FAQ automation, and session routing to human agents, reflecting capabilities typical of the Chatbots and Conversational AI category. Configuration and conversation design emphasize intent recognition, scripted dialogue trees, and automated response templates to manage common inquiries and reduce manual handling. The implementation also captures conversation analytics to inform iterative tuning of dialogue content and entry point behavior.
Operational coverage is focused on Unimed’s public website, supporting patient support and member services teams rather than internal back office systems. Governance centers on conversation content management, agent escalation rules, and channel monitoring to maintain response quality and alignment with service policies. Unimed Hi Platform Chat Chatbots and Conversational AI is positioned as the organization’s customer facing conversational layer for digital engagement on the website.
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Unimed Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| UpFlux | Legacy | UpFlux Process Mining | Process Mining | Analytics and BI | n/a | 2019 | 2019 |
In 2019, Unimed implemented UpFlux Process Mining. UpFlux Process Mining, in the Process Mining category, was adopted to analyze core operational and clinical workflows within Unimed's healthcare operations.
The implementation emphasized standard process mining capabilities including automated process discovery, conformance checking, variant analysis and performance bottleneck identification, with UpFlux Process Mining ingesting event logs and transaction traces from operational and clinical systems. Functional usage targeted patient flow, appointment scheduling, billing and claims processes, using visual process maps, time-to-event analytics and root cause analysis to inform operational analysts and process owners. Governance and operationalization focused on embedding process insights into continuous improvement workflows and operational review routines, with dashboards and prioritized remediation lists used to drive process improvement across healthcare operations.
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Unimed Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2011 | 2011 |
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Collaboration | Collaboration |
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2012 | 2012 |
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Collaboration | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2023 | 2023 |
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Survey and Questionnaire | Collaboration |
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2024 | 2024 |
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Unimed Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Document Management | Content Management |
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2024 | 2024 |
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Web Content Management | Content Management |
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2017 | 2017 |
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Unimed CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2015 | 2015 |
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Customer Experience | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Unimed ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Remote Monitoring and Management | ITSM |
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2023 | 2023 |
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Unimed PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Quality Management | PLM and Engineering |
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2024 | 2024 |
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Unimed PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2012 | 2012 |
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Apps Development | PaaS |
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2017 | 2017 |
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Unimed 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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2025 | 2026 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Digital Workspace | IaaS |
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2015 | 2015 |
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IT Decision Makers and Key Stakeholders at Unimed
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Unimed Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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