Category: Technology
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Product vs Engineering Team: Can we ship Today ?
Product wants campaigns live today; engineering wants them tested. Journeys ship on the device, so both get their way without an app release.
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Ship a Father’s Day Campaign Without Shipping an App Update
App store reviews kill seasonal campaigns. See how a Father’s Day gift-finder goes live in minutes with DataSapien Journeys — no build, no review, no rollout.
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Introducing Pocket Models AI: A Free iOS App for Exploring Device Native AI
We’ve launched Pocket Models.AI, a free iOS app that lets you explore, experiment with, and discover what on-device AI can really do. It’s built on the DataSapien SDK and designed for two audiences: developers testing small language models on real mobile hardware, and brands looking to understand what Device Native AI means in practice. Download…
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DataSapien React Native SDK: On-device personalisation for React Native is live
We just shipped the first public Flutter release of DataSapien — bringing on-device MeData collection, local inference, audience segmentation, and journey activation to Flutter developers. The same core idea from our native iOS and Android SDKs: your app executes product logic locally, while the Orchestrator syncs logic, not user data.
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DataSapien Flutter SDK — On-device personalisation for Flutter is live
We just shipped the first public Flutter release of DataSapien — bringing on-device MeData collection, local inference, audience segmentation, and journey activation to Flutter developers. The same core idea from our native iOS and Android SDKs: your app executes product logic locally, while the Orchestrator syncs logic, not user data.
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GDPR Doesn’t Block Innovation. Centralised Architecture Does.
Most companies don’t have a legal problem. They have a design problem. Nearly all GDPR friction traces back to one architectural decision: centralising personal data. This friction isn’t inherent to building intelligent products—it’s inherent to building them on centralised stores. Change the architecture, and the friction collapses.
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Lab Report: Building a Real On-Device Intent Classifier with a Small Language Model
Most AI demos look impressive—until you try to ship them in a real mobile app. This technical walkthrough shows how to build a production-ready intent classifier that runs entirely on-device using Small Language Models. No cloud dependency. No user data leaving the device. Sub-second response times.
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SF Tech Week 2025: The Builders, the Boom, and the AI Future Beyond the Hype
StJohn Deakins reflects on SF Tech Week 2025 — from Small Language Models and the rise of Edge AI to the growing movement for trust, transparency, and personal intelligence. Discover why the future of AI is scaling down to the personal, and how DataSapien is helping shape it.
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SDKs: A Tale of Two Futures – From Data Extraction to Data Empowerment
SDKs have long powered mobile apps – but many became silent tools of surveillance. This post explores a new path: how DataSapien’s on-device SDK empowers users with personal intelligence, surfaces private insights, and enables trusted zero-party data sharing. A tale of two futures- one extractive, one ethical, and far more effective.
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DataSapien Lab Report: Running Google Gemma 3n on iOS
In this DataSapien Lab report, engineer Arda Dogantemur shares how he successfully ran Google’s Gemma 3n model natively on iOS—without Python or cloud dependencies. It’s a milestone for edge AI, private personalisation, and zero-shared data orchestration on mobile devices.