About Us
What if the prevailing “One AI to rule them all” assumption about Big Cloud AI is wrong?
What We Do
While Big Tech pursues centralised AI that processes personal data in distant cloud servers, we’re building the infrastructure for a fundamentally different approach: billions of personal AIs running directly on customers’ smartphones. What if every mobile app could deliver deeply personal experiences without compromising user privacy or inflating operational costs?
We’re building the operating system for Personal Edge-AI—the foundational infrastructure that enables billion-scale deployment of intelligent, private personalization. DataSapien creates the Device Native AI (DNA) category, powering the $107B market opportunity where AI processing happens directly on customers’ smartphones, not in distant cloud servers.
Our Personal Edge-AI & Orchestration Software transforms how brands connect with customers by processing Zero-Shared Data entirely on-device. This breakthrough architecture delivers up to 44X engagement improvements while maintaining absolute privacy and cost predictability—solving the impossible equation of maximum personalization with maximum privacy at maximum profit.
We’re not just creating a platform—we’re architecting the infrastructure layer that will power the next generation of customer experiences. Every smartphone becomes a private AI assistant, every app becomes contextually intelligent, and every brand interaction becomes precisely relevant to what customers are trying to accomplish in that moment.
Our mission is to achieve one billion SDK installs, a scale that could mean hundreds of millions of people each with several apps with our technology embedded. At this scale, we can nudge our digital world toward a better, more human-centric place where personal data serves the person first. We have built the foundational technology that makes this vision scalable, secure, and economically sustainable for consumer organisations worldwide.
Why Now: The Perfect Platform Convergence
The Next Major AI Platform Shift is Here. And it’s Personal.
Three critical technology developments are converging in 2025-2026 to create the ideal deployment window for Personal Edge-AI:
- Apple Intelligence (2025): Apple’s developer ecosystem approach encourages app developers to deploy AI workloads inside iOS applications, validating the market shift to edge processing and creating enterprise acceptance for local AI deployment. Our SDK independently deploys AI hosting environments like OLLAMA, enabling hundreds of open-source small and nano language models to run locally on any device.
- Android Gemma (May 2025): Google’s ecosystem approach to on-device AI development creates the market infrastructure for edge-AI deployment. Their cutting-edge open-source, multi-modal models demonstrate the sophistication now possible with local processing, accelerating enterprise adoption of on-device personalisation architectures.
- NVIDIA’s Declaration (June 2025): Remarkably, the company profiting most from centralised Cloud AI has declared that “Small Language Models are the future of agentic AI,” validating the edge-processing architecture we’ve been building even as it challenges their own revenue model.
This confluence means brands can finally deploy AI that processes rich personal data locally—eliminating the privacy risks and escalating costs that make cloud-based personalisation unsustainable at scale. The 31.7% CAGR growth in Device Native AI isn’t just a market trend—it’s the inevitable shift as mobile operating systems gain the capabilities our platform orchestrates.
Who We Are: A Decade-Long Vision Made Real
Our core founding team has been working toward a vision of personal data on personal devices for almost 10 years. As such, we are world experts on what is possible—and what isn’t—when it comes to on-device data orchestration and edge-AI deployment.
While others are just discovering edge processing, we’ve been methodically solving the fundamental challenges: how to orchestrate complex data relationships on-device, how to maintain security at consumer scale, how to build systems that promote trust and transparent consent, how to create seamless user experiences when processing happens locally rather than in the cloud. This decade of focused innovation means we understand the architectural complexities that newcomers haven’t even encountered yet.
We didn’t pivot to Personal Edge-AI because it became trendy—we’ve been building toward this vision since before the technology infrastructure existed to support it. Now that Apple Intelligence and Android edge capabilities are finally arriving, we’re the only team with both the technical depth and operational experience to orchestrate Personal AI at the billion-user scale that the market demands.
Management Team
DataSapien is pioneering Device Native AI orchestration with a world-class team that has proven experience building consumer-scale platforms. Our international engineering team has collectively created the world’s most popular on-device Personal Data Store application, serving 500,000 monthly active users, and built the first commercial Personal Data Exchange used by leading global consumer brands and the UK Government.
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 & Regulation technology. Serial entrepreneur with successful exits across 6 continents. Invented ‘Omnichannel’ marketing in 2000 and is now building the technology to fulfil that original vision.
Credentials: MiniMBA, CLMP, ECA, Chartered Institute of Marketing, MyData V-Chair, DataIQ 100 Alumni.
Arda Dogantemur
Technical Lead, Co-Founder, Istanbul Turkey
Mobile architect and edge data intelligence expert. 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 & Mobile Development
Hamit Hasanhocaoglu
Lead Architect, Co-Founder, Istanbul Turkey
Backend, DevOps, and security expert with 10 years military-grade information security experience. Specialises in distributed systems architecture and enterprise-scale security implementations.
Credentials: Lecturer on Java, Full Stack, and innovation development
Metecan Duyal
Mobile SDK Dev Lead, Co-Founder, Istanbul Turkey
Edge Data/AI and Mobile Development Lead with specialised expertise in on-device data processing and edge-AI innovation. Domain expert in Mobile Software Development Kit architecture.
Credentials: Android & iOS expert, Mobile SDK domain specialist
Our Infrastructure Advantage
Zero Data Movement Architecture: All AI processing happens on-device—no sensitive personal data needs to leave the customer’s smartphone, eliminating privacy risks and regulatory compliance complexity.
Infinite Scalability: Our edge-native design means performance improves with user growth rather than degrading. Each new user adds processing power to the network rather than creating server load.
Sub-100ms Response Times: Edge processing eliminates network latency bottlenecks, enabling real-time personalisation that feels instant and natural. No network access required.
Cost Predictability: Flat licensing fees eliminate usage spikes and budget surprises. Unlike cloud AI services that charge up to $0.10 per action or fluctuating costs per token, our pricing only scales based on users served, not engagement levels.
Military-Grade Security: Customer data stays within their device ecosystem; the ultimate zero-trust architecture with built-in GDPR and CCPA compliance.
Platform-Native Integration: API-first design enables clean integration with existing CRM, CDP, and marketing technology stacks without architectural compromises.
This is the infrastructure foundation that enables brands to serve billions of customers with personalised experiences while maintaining privacy, controlling costs, and building genuine trust at scale. We’re not just building better marketing technology; we’re architecting the future of how intelligent systems serve human needs.
