List of OPPSCIENCE Platform Customers
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Since 2010, our global team of researchers has been studying OPPSCIENCE 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 OPPSCIENCE 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 OPPSCIENCE Platform for ML and Data Science Platforms include: Allianz, a Germany based Banking and Financial Services organisation with 156626 employees and revenues of $140.34 billion, Ministry Of The Interior France, a France based Government organisation with 293771 employees and revenues of $30.30 billion, Belgian Federal Government, a Belgium based Government organisation with 1500 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using OPPSCIENCE 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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Allianz | Banking and Financial Services | 156626 | $140.3B | Germany | OPPSCIENCE | OPPSCIENCE Platform | ML and Data Science Platforms | 2021 | n/a |
In 2021, Allianz implemented OPPSCIENCE Platform, a solution in the ML and Data Science Platforms category. OPPSCIENCE lists Allianz among its corporate customers and presents the OPPSCIENCE Platform for knowledge extraction, semantic search and analytics use cases relevant to insurers.
The OPPSCIENCE Platform deployment at Allianz is described through vendor positioning rather than published customer case details, so configuration is inferred from typical ML and Data Science Platforms capabilities. Implementation likely focused on knowledge extraction pipelines, semantic search index construction, and analytics workflow orchestration, including natural language processing driven entity extraction, vectorized semantic search, model hosting and inference orchestration, and automated data ingestion and preprocessing.
Operational scope is inferred to target insurer analytic functions, with the OPPSCIENCE Platform used to surface enterprise knowledge for claims analytics, fraud detection and risk intelligence. The platform was positioned to serve claims, risk and analytics teams within Allianz by providing searchable knowledge graphs and semantic query capabilities that feed downstream analytic workflows.
Governance and operational integration details are not published, therefore it is probable that the rollout required taxonomy alignment, model validation controls and process changes to integrate semantic outputs into underwriting, claims handling and risk decisioning. The narrative is grounded in OPPSCIENCE product positioning and the vendor customer listing rather than a public Allianz implementation playbook.
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Belgian Federal Government | Government | 1500 | $300M | Belgium | OPPSCIENCE | OPPSCIENCE Platform | ML and Data Science Platforms | 2022 | Sopra Steria |
In 2022, the Belgian Federal Government implemented the OPPSCIENCE Platform as part of the I-Police digital reform consortium. The OPPSCIENCE Platform is an ML and Data Science Platforms solution deployed to provide Intelligence Analysis Management and natural language processing capabilities to support Belgium's national police data consolidation programme.
The implementation centered on Intelligence Analysis Management and NLP functional modules, with configuration to ingest and normalize structured and unstructured police data, support entity extraction and corpus analysis, and enable analyst-facing model inference and data exploration workflows. OPPSCIENCE Platform deployment included data pipeline orchestration and model serving components consistent with ML and Data Science Platforms, enabling repeatable analytical workflows and automated text processing across case files and reports.
Integration and operational coverage were governed through the I-Police consortium, with Sopra Steria acting as the system integrator for consortium delivery. The engagement began with pilot projects announced in 2022 to centralize and analyze structured and unstructured police data, and the program planned phased expansion to additional police units and national consolidation points across subsequent years during the I-Police transition.
Governance was structured around consortium oversight and coordinated rollouts, combining OPPSCIENCE Platform technical operations with Sopra Steria implementation services to align intake processes, analyst workflows, and data governance policies across participating police organizations.
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Ministry Of The Interior France | Government | 293771 | $30.3B | France | OPPSCIENCE | OPPSCIENCE Platform | ML and Data Science Platforms | 2023 | n/a |
In 2023, the Ministry Of The Interior France integrated the OPPSCIENCE Platform, deploying OPPSCIENCE’s SPECTRA Intelligence Analysis Management solution through the ANFSI programme to support law enforcement intelligence, investigation management and semantic data analysis. The OPPSCIENCE Platform is identified as ML and Data Science Platforms in the implementation profile and serves as the analytics backbone for investigative workflows and analyst operations.
The implementation concentrated on intelligence and investigation management capabilities, with functional modules for intelligence analysis, case and investigation management, semantic data analysis and analyst workbench functionality. Configuration emphasized structured case records, semantic entity extraction and analyst-driven query workflows aligned to law enforcement investigation lifecycle requirements.
The deployment was executed in France under the ANFSI programme and is positioned for use across law enforcement investigative units and national intelligence analysis teams, extending to investigator-facing operational sites. Integrations described focus on ingesting and semantically indexing disparate investigative data sources for unified analytical access, supporting investigator search, link analysis and evidence correlation.
Governance and rollout were coordinated through the ANFSI programme governance model, aligning operational ownership to ministry investigation and analysis functions. OPPSCIENCE states the SPECTRA Intelligence Analysis Management solution can reduce investigator time by up to ~60 percent, and the implementation is explicitly targeted at law enforcement intelligence and analysis modules rather than administrative functions.
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