Category: Technology
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WWDC25: Apple & Google Move AI to the Edge, DataSapien Leads.
Apple and Google just shifted AI to the edge with on-device models like Apple’s Foundation Models and Google’s Gemma 3n. Combined with hundreds of deployable models on Hugging Face, the era of private personalisation is here. DataSapien enables brands to orchestrate these capabilities with no-code, privacy-first personal AI journeys.
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On-Device LLMs And Agentic AI…
On-device LLMs promise privacy and personalisation, but they aren’t yet agentic. DataSapien bridges that gap with a rules- and ML-powered intelligence stack that acts proactively, understands context, and runs entirely on-device. The result? A dependable, private personal AI agent that gets real jobs done — no cloud dependency required.
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Data Is the New AI Gold, and Customer-First Companies Will Win
Personal data is the real fuel for AI. The 5 V’s: Volume, Velocity, Variety, Veracity, and Value – define how customer-first companies can unlock insight and competitive edge. Learn how on-device intelligence and zero-party data are reshaping personalisation and trust in the AI era. Discover the new gold of digital strategy.
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Zero-Party Data Rewards: DataSapien’s Latest Loyalty Innovation
Discover how DataSapien’s new Rewards integration transforms loyalty programs by combining points, cash, and discounts with ethical data-sharing. Empower customers to exchange insights for rewards using our Private Personalization platform. Elevate engagement, trust, and value in participatory customer journeys. A game-changer for loyalty brands seeking innovation and transparency.
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DataSapien Edge Architecture: 3) Data Orchestration
The Data Orchestrator is the control surface for the DataSapien edge architecture. Brands define the data types that can be gathered and stored in their branded app, on the device, and the combinations of on-device Personal Intelligence deployed to process the data. Once deployed, the Orchestrator is capable of managing the data types, flows and…
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DataSapien Edge Architecture: 2) Personal Intelligence
This is the second in a series of three posts covering DataSapien edge Architecture. This post covers the DataSapien Personal Intelligence capabilities. DataSapien offers Personal Marketing Technology to brands. Its edge architecture is focused on providing better customer outcomes. It is comprised of a bundle of components that are embedded inside existing customer apps, as…
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DataSapien Edge Architecture: 1) Personal Data Storage
DataSapien offers Personal Marketing Technology to brands. Its edge architecture is focused on providing better customer outcomes. It is comprised of a bundle of components that are embedded inside existing customer apps, as a Software Development Kit, or SDK. These components include 1) On-Edge Personal Data Storage and 2) On-Edge Personal Intelligence technology. The in-app SDK is controlled…
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The Proven Power of DataSapien Edge Architecture
DataSapien offers Personal Marketing Technology to brands. Its edge architecture is focused on providing better customer outcomes. It is comprised of a bundle of components that are embedded inside existing customer apps, as a Software Development Kit, or SDK. These components include 1) On-Edge Personal Data Storage and 2) On-Edge Personal Intelligence technology. The in-app SDK is controlled…
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Privacy By Design – The Future of Customer-Centric Data Protection
Introduction As the technology in the world around us rapidly advances, privacy has become a paramount concern. Recent high-profile data breaches, data misuses and increasing public awareness have underscored the urgent need for robust privacy protections. At DataSapien, we recognize Privacy By Design (PbD) as not just a trend but a necessity. With industry leaders…
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Zero-Party Data Is Incomplete: Introducing “Zero-Shared Data”, the Missing Link for Personal Data Marketing
Zero-Party Data is currently a busted flush. The original intent has been diluted and it’s come to mean a tactical mix of website polls, gamified quizzes and even aggregated customer reviews. These all miss the huge dormant value for brands and for customers. How do we fix it? First, Zero-Party Data needs to include rich,…