Tag: EdgeAI
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Beyond VPN Metering: How On-Device AI Is Changing Panel Data Collection
VPN metering has powered panel behavioural data collection for over a decade, but battery drain, respondent churn, and tightening platform restrictions are mounting. On-device AI offers a fundamentally different approach — processing data on the respondent’s device and sharing only consented inferences. Here’s how the two architectures compare.
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On-Device AI vs Cloud AI
Cloud AI or on-device? The answer depends on your latency, privacy, and cost constraints—not the hype cycle. A quick framework for choosing.
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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.
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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.