Apheris enables governed, private, and secure access to data for ML and analytics.

Berlin, Germany
Joined May 2018
Q: Are you comfortable providing access to your data for federated learning?
67%Yes
0%No
33%Depends on the situation
3 votes • Final results
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🚀Excited to launch Apheris Compute Gateway 3.0! A year of hard work with our partners and customers has enhanced data collaboration more than ever. 🌐 New features with @NVIDIAAIDev, top-grade security, and intuitive governance.
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🚀JT from @Apheris_AI explores real-world FederatedLearning applications. Discover how FL is finding its way from research to industry: hubs.li/Q02hR9BN0
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Join our CEO @RoehmRobin at the World AI Cannes Festival! Discover how to leverage AI to get high-quality, interoperable data, ensuring compliance & security while unlocking AI’s potential. #WAICF
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🔒 Discover how CISOs can secure data in the ML era and balance innovation with security, as explored by Ellie Dobson in @InsideBIGDATA. Learn about our Compute Gateway's role in this crucial endeavor. hubs.li/Q02hnp9X0 #DataSecurity #FederatedLearning #CISOChallenge
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Excited to partner with Europe’s IMPACCT RWE Summit 2024! Join us in Amsterdam as we champion secure, private federated learning in clinical research. Let's explore how it bridges clinical research and practice. #IMPACCT2024 #FederatedLearning #ClinicalResearch
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Tackle your predictive maintenance challenges: Overcome data scarcity, scaling difficulties and reduce security risks How? Through secure, governed, and private algorithmic access to federated machine data in the field: hubs.li/Q02gV1pY0 #PredictiveMaintenance
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Computational governance is key to safe, compliant AI. It ensures data compliance, ethical AI development, and risk-free data utility with federated learning. Learn how in our CEO’s @TechRadarPro piece: hubs.li/Q02gKS880
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🚀 Dive into VP Product, Ellie Dobson’s insights on transforming sensitive data into strategic assets. Leverage ML with quality data for a competitive edge. Explore how our Compute Gateway aligns with these strategies: hubs.li/Q02gz0t20 #DataProductization #AI #ML
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🔓 Unlock the power of NVFlare with the Apheris Compute Gateway ✔️ Our Compute Gateway ensures your NVFlare jobs meet the highest standards of data governance and security, fulfilling compliance requirements effortlessly. Learn more: hubs.li/Q02d8f8w0
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Our Compute Gateway ensures secure and compliant ML model development in TREs, fostering safe, cross-organizational collaboration. #Apheris #ML #DataPrivacy #HealthcareAI #SecureAI #FederatedLearning
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🚀 Excited to launch the Apheris Trust Center! • ISO 27001 & SOC 2 certified • Access best practices & expert resources • Stay ahead in compliance for ML & analytics See the impact on regulated industries hubs.li/Q02cYn2B0 #DataSecurity #Compliance #ApherisTrustCenter
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The EU AI Act is now guaranteed to be adopted. Read our EU AI Act infographic and unlock the keys to compliance. Learn about: • The risk-based approach and what it means for you • Compliance steps 🔗hubs.li/Q02cMRvD0
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#RETFound excels in medical AI, but why stop there? Customize FMs on your valuable dataset. Why? • Adapt to various clinical applications • Overcome data limitations • Outperform competitors With Apheris, do it securely & in compliance with GDPR. hubs.li/Q02csSzk0
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Unravel the regulatory maze for ML with our infographic. Dive into data privacy, AI laws, and compliance strategies to empower ML securely. Get your guide: hubs.li/Q02bZRXg0 #AIRegulations #DataPrivacy #MachineLearning #Compliance #Infographic #Apheris
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🚀 We revolutionize ML – our product keeps data in-house, sharing only privacy-preserving model weights. Perfect for data collaboration on sensitive data. #AI #DataPrivacy #FederatedLearning
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🚀 Announcing our CEO, @RoehmRobin as a keynote speaker at #CannesAIFestival! He'll be talking about AI interoperability with LLMs, exploring new horizons in structured data for robust AI applications. Join us in shaping the future of AI. #AIInnovation #LLM
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The #FinancialIndustry is ripe for #AI revolution, but data silos and compliance hurdles lead to slow progress. Apheris is based on a federated learning framework and provides governed, secure, and private computational access to data: hubs.li/Q029X6k80
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