For a century, marketing has modelled the customer from a distance. We built the layer that meets them where they live.
DataSapien is a Device Native AI personalisation platform. It runs inside your customer’s own app, on their own device, with their permission. It gives the rest of your stack something it has never had: your customer’s real context, in the moment it matters. We are the missing layer beneath the tools you already run, not a replacement for them.
What We Do
Most personalisation platforms work from one side of the relationship. They know what you sell and what a customer once bought. They never know the life the customer is actually living. DataSapien closes that gap.
We embed a software development kit into your existing app. Personal data is processed on the customer’s own device, never uploaded to a corporate cloud. The customer decides what to share back, and when. Your CDP, your loyalty engine, your campaign tools and your analytics layer all keep their jobs. They get fed better, more honest signals from a far smaller surface of risk.
The commercial point is simple. Customers are in-market a tiny fraction of the time, but they are living their lives all of the time. Cloud-based systems can only reach the sliver of context a customer is willing to hand to a distant server, and that sliver is shrinking every year. DataSapien reaches the rest, on the device, where the richest context already lives. The result is personalisation that arrives at the right moment in the right context, measured against the outcomes a business actually cares about: revenue, customer lifetime value, retention and operational risk.
We call this OmniPersonal Marketing. Not hyper, which means more, deeper and narrower. Omni, which means everywhere the customer is, on their terms.
Why Now
The capability to run capable AI directly on a phone did not exist until recently. It does now, and three developments have opened the window.
Apple Intelligence actively encourages developers to run AI workloads inside their own iOS apps. That validates on-device processing and makes enterprise buyers comfortable with it. We build Apple’s rules into the platform as guardrails rather than working against them.
Google’s open, multi-modal models running locally on Android demonstrate the sophistication now possible without a round trip to the cloud, and accelerate enterprise adoption.
And NVIDIA, the company that profits most from centralised cloud AI, has published research arguing that small language models are the future of agentic AI. When the incumbent says the centre of gravity is moving to the edge, the argument is effectively settled.
None of this is why we started. We were building toward on-device intelligence before the infrastructure existed to support it. This is why the rest of the market is now arriving at the same place, and why the moment for brands to act is now rather than later.
Who We Are
DataSapien is the product of two long arcs that have finally met.
The first is a marketing one. In 2000, while advising the T-Mobile UK board, our CEO StJohn Deakins coined the concepts of digital channel and omnichannel marketing. The vision was a single, unified customer experience across every touchpoint, with the customer at the centre. The industry built the infrastructure but lost the customer along the way. Omnichannel became about managing channels, not understanding people. OmniPersonal is the completion of that original idea, now that the technology exists to deliver it.
The second is a technical one. Our founding engineering team has spent close to a decade solving the hard problems of personal data on personal devices. Together they built the world’s most widely used on-device personal data store, serving 500,000 monthly active users, and the first commercial personal data exchange used by leading global brands and the UK Government. While others are only now discovering edge processing, this team has already worked out how to orchestrate complex data on the device, how to hold security at consumer scale, and how to keep the experience seamless when the intelligence runs locally rather than in the cloud.
We did not pivot to on-device AI because it became fashionable. We have been building toward it for years. That is why we understand the architectural problems newer entrants have not yet run into.
Management Team
A founding team that has already built consumer-scale personal data technology, and is now building the layer that completes it.
We hold patents for on-device data vaults, edge intelligence, and personal AI orchestration. Our core founding team has been creating human-centered commerce solutions using privacy-preserving edge data intelligence since 2013, with deep operational experience and a track record of consistently delivering cutting-edge technology to market.
StJohn Deakins
CEO, Co-Founder,
London UK
Recognised expert in personal data, AI, marketing, ethics and regulation technology. Serial entrepreneur with successful exits across six continents. Coined the term omnichannel in 2000 and is now building the technology to fulfil that original vision. Credentials: Mini MBA, CLMP, ECA, Chartered Institute of Marketing, MyData Vice-Chair, DataIQ 100 Alumni.
Arda Dogantemur
Technical Lead, Co-Founder, Istanbul Turkey
Technical Lead, Co-Founder. Istanbul, Turkey. Mobile architect and edge data intelligence expert. A leading authority on in-app intelligence systems and mobile SDK development for consumer-scale platforms. Credentials: MBA in Organisational Learning (published, USA). Visiting lecturer on Agile and mobile development.
Hamit Hasanhocaoglu
Lead Architect, Co-Founder, Istanbul Turkey
Lead Architect, Co-Founder. Istanbul, Turkey. Backend, DevOps and security expert with ten years of high-assurance information security experience. Specialises in distributed systems architecture and enterprise-scale security. Credentials: Lecturer on Java, full stack and innovation development.
Metecan Duyal
Mobile SDK Dev Lead, Co-Founder, Istanbul Turkey
Mobile SDK Dev Lead, Co-Founder. Istanbul, Turkey. Edge data, AI and mobile development lead with deep expertise in on-device data processing and edge-AI innovation. A domain specialist in mobile SDK architecture. Credentials: Android and iOS expert. Mobile SDK domain specialist.
The Infrastructure Advantage
Predictable cost. Pricing scales with the number of users served, not the number of interactions. No per-token fees, no usage spikes, so finance can forecast it.
Scales with growth, not against it. Because the intelligence runs on each customer’s device, every new user brings their own processing power. Performance improves as the user base grows rather than buckling under server load.
Real-time by design. On-device processing removes the network round trip, so personalisation feels instant and responds to the customer’s live context.
Composes with your stack. API-first integration sits cleanly beneath your CRM, CDP and marketing technology. It adds a layer, it does not force a rebuild.
Privacy as architecture. Because personal data is processed on the device and never has to leave it, the privacy and regulatory exposure that comes with cloud personalisation is never created in the first place. GDPR and CCPA compliance follow from how the system is built, not from something bolted on afterwards.
This is the foundation that lets brands serve customers at scale with genuinely relevant experiences while controlling cost, reducing risk and earning trust. We are not building better marketing technology. We are building the layer the marketing stack has been missing.