List of Semantix SDP Data Platform Customers
Pinheiros, 05423-180,
Brazil
Since 2010, our global team of researchers has been studying Semantix SDP Data Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Semantix SDP Data Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Semantix SDP Data Platform for ML and Data Science Platforms include: Cielo Brazil, a Brazil based Banking and Financial Services organisation with 5955 employees and revenues of $2.18 billion, Hospital Alemao Oswaldo Cruz Brazil, a Brazil based Healthcare organisation with 3817 employees and revenues of $240.0 million, Vindi Group, a Brazil based Banking and Financial Services organisation with 200 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using Semantix SDP Data Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cielo Brazil | Banking and Financial Services | 5955 | $2.2B | Brazil | Semantix | Semantix SDP Data Platform | ML and Data Science Platforms | 2018 | Semantix Sweden |
In 2018, Cielo Brazil engaged Semantix Sweden as reseller and implementation partner alongside Zoomdata to deliver near-real-time and predictive analytics using the Semantix SDP Data Platform. The engagement targeted payment transaction analytics for Cielo's payments and finance business functions in Brazil, and the work is categorized under ML and Data Science Platforms.
The implementation centered on data ingestion and analytics pipelines that processed payment transaction streams and batch feeds, and on model scoring and predictive analytics workflows to support targeted marketing and promotions. Semantix SDP Data Platform was used to host machine learning model artifacts and orchestration, while analytic workflows emphasized feature engineering, automated scoring, and dashboard-ready datasets to enable hourly analytic refreshes.
Zoomdata was integrated to provide visualization and interactive BI over the analytic outputs, with Semantix Sweden responsible for delivery as the reseller and implementer. Operational coverage focused on the payments domain across Cielo Brazil, connecting transactional sources to the ML and Data Science Platforms stack and surfacing insights for commercial and marketing teams.
The stated outcome from the engagement was a reduction in analytic latency to hourly and the enablement of targeted marketing and promotions within the payments area. Governance and rollout emphasized productionizing predictive scoring and operational analytics, aligning data pipelines and visualization for business users in the payments and finance functions.
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Hospital Alemao Oswaldo Cruz Brazil | Healthcare | 3817 | $240M | Brazil | Semantix | Semantix SDP Data Platform | ML and Data Science Platforms | 2021 | n/a |
In 2021, Hospital Alemão Oswaldo Cruz partnered with Semantix to deploy the Semantix SDP Data Platform to develop an AI-assisted CT chest diagnostic solution for COVID-19. The implementation used the Semantix SDP Data Platform within the ML and Data Science Platforms category to accelerate imaging triage and clinical decision workflows.
Implementation concentrated on imaging data pipelines, model development and operationalization, and inference orchestration. Functional capabilities implemented included data ingestion and preprocessing for CT images, annotation and model training support, automated inference pipelines for chest CT scoring, and model lifecycle management to move models from development into clinical use.
Deployment was scoped to clinical and diagnostics workflows at Hospital Alemão Oswaldo Cruz and was reported as being disseminated to other hospitals across Brazil. The project received funding from FINEP-MCTI, and Semantix reported that the Semantix SDP Data Platform solution is being shared with additional hospital sites to improve diagnostic speed and resource allocation.
Governance emphasized clinical validation and embedding automated triage outputs into diagnostic workflows to support faster decision-making at the point of care. The Semantix SDP Data Platform provided the core ML and operational capabilities to support radiology and emergency department decision points while enabling standardized model deployment and inference services across hospital sites.
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Vindi Group | Banking and Financial Services | 200 | $30M | Brazil | Semantix | Semantix SDP Data Platform | ML and Data Science Platforms | 2022 | n/a |
In 2022, Vindi Group implemented the Semantix SDP Data Platform to automate payment processes and API integrations across finance and CRM operations in Brazil. The Semantix SDP Data Platform was deployed as a solution in the ML and Data Science Platforms category to centralize payment orchestration and API-driven data workflows for the companys payments stack. The implementation concentrated on API integration capabilities for invoicing, payment reconciliation, and boleto cancellations, with platform configuration focused on orchestrating API calls, automating reconciliation workflows, and normalizing payment event data. Semantixs Integration Experience team supported the integrations and automation efforts, building connectors to e-commerce platforms and to Salesforce and exposing APIs to reduce manual intervention in payment processing. Operational coverage targeted Vindis finance and CRM functions in Brazil, with the SDP Data Platform handling boleto lifecycle events, reconciliation feeds, and invoicing pipelines. Governance and rollout included process automation and workflow restructuring to shift manual tasks into API-driven processes, explicitly reducing manual work and errors in payments operations as reported.
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