Private data, shared intelligenceIntelligence
Piprate builds infrastructure for trusted data exchange in an AI-driven world.
We create secure, identity-centric data environments where people and organisations keep ownership, share selectively, and unlock value - with context, provenance, governance, and autonomy built in.
From regulated industries like insurance to emerging personal data spaces, Piprate powers privacy-preserving collaboration and AI-ready intelligence.
our products
MetaLocker is Piprate’s core data-sharing infrastructure. It enables organisations and individuals to exchange sensitive data through private, encrypted lockers - without centralising custody or creating unnecessary copies.
Each exchange is governed by explicit access rules, cryptographic provenance, and auditable consent. Data remains controlled by its owner, while still being usable by the parties that need it.
This approach reduces operational friction, cyber risk, and compliance overhead - while restoring trust in shared data.
Sequel lets communities, teams, and ecosystems collaborate around shared services - without pooling their underlying data.
Instead of uploading data into yet another platform, participants connect their own data lockers and define how insights, comments, or outcomes are shared. The result is a new class of applications: social, analytical, and collaborative - built on shared logic, not shared databases.
This model is especially powerful for regulated industries, cross-company collaboration, and emerging data commons.
Piprate also works with partners to design next-generation personal data systems - where individuals can safely accumulate, reason over, and selectively deploy their own data.
This work is paving the way for Persona: a future personal intelligence layer that helps people make sense of their data and interact with AI systems on their own terms - without surrendering raw information.
Persona is not a product announcement. It is a direction: toward human-centred AI grounded in consent, context, and control.
About Piprate
Built for trust, not extraction
The dominant data economy was built on extraction: collect everything, centralise it, monetise later. That model is increasingly incompatible with regulation, security realities, and public expectations - and it breaks down entirely in an AI-first world.
Piprate takes a different approach. We treat data as a valuable asset that remains with its owner, and intelligence as something that can be derived without indiscriminate exposure.
Our systems are designed to make trust explicit, enforceable, and machine-readable.
From enterprise infrastructure to personal systems
Piprate’s roots are in solving some of the hardest data-sharing problems in insurance and financial services - where provenance, auditability, and privacy are non-negotiable.
Those same foundations now enable broader use cases:
- cross-organisation collaboration
- privacy-preserving analytics
- AI systems that work with private data, not against it
- personal data environments that scale over time
What started as enterprise infrastructure is becoming a general-purpose architecture for trusted data exchange.
A long-term view on AI and data
AI does not just need more data - it needs better relationships with data.
As synthetic data proliferates and regulatory pressure increases, the next wave of AI advantage will come from systems that can:
- access high-quality, real-world data with consent
- preserve context and provenance
- respect individual and organisational boundaries
Piprate is building toward that future - one where AI augments human and organisational intelligence, without eroding trust.
A decade building for data sovereignty
Piprate has spent years solving a problem most of the AI industry is only now confronting: how to preserve ownership, provenance, and privacy in a data-driven world.
MetaLocker pioneered secure, consent-based data exchange and personal data vaults.
Sequel extended that foundation to digital legacy - preserving what matters, on your terms.
These products weren’t experiments. They were infrastructure.
And they led us to the next, inevitable step.