01 — Computational privacy
Software, consulting, and research for privacy-first organisations.
§ 02 · Manifest
Our consulting work is grounded in primary statute and case law. Our products are built on a well-defined stack of privacy-enhancing primitives. Both inform each other.
── Citations
Law · Standards · Cases
── Primitives
Crypto · PETs · Architecture
Why we exist
The default model of modern software is extraction. We build the alternative. Computation stays local. AI runs on the user's device. Research is held to evidence the reader can verify.
§ 03 — In market
Each one is a proof point. The privacy choices we argue for in consulting and research are the ones we build with.
01 · AI-powered social media management
From brand brief to scheduled posts across every major platform. Closed learning loop on what performs. Hosted in the EU, no third-party trackers.
Visit socialneuron.com
02 · Evidence-based VPN comparison
28-criteria evaluation across 3,469+ sourced records. Methodology is public; placements are reproducible. No affiliate-driven rankings.
Visit thevpnmatrix.comWhat we build
01 / Social Neuron
LiveEnd-to-end content creation platform that takes you from brand brief to scheduled posts across YouTube, TikTok, Instagram, Facebook, and LinkedIn. Performance from each post informs the next. DPIA completed, EU-hosted, no third-party trackers.
Read more02 / TheVPNMatrix
LiveIndependent VPN comparison built around a published evidence methodology. 28 criteria, 3,469+ sourced records, no affiliate-driven rankings. Placement reflects the evidence, not the payout. Quarterly source audits, no third-party trackers.
Read more03 / Hearth
Coming soonA local-first AI runtime. Run capable language models on your own hardware (laptop, desktop, on-prem) with native context for your files, notes, and tools. No data leaves the device unless you choose to send it. Currently in private development.
§ 04 — Methodology
Every claim on TheVPNMatrix is backed by a record. Every record carries an Evidence Quality Score: eight components, computed from the source. If you disagree with a placement, you can examine the components that produced it.
Formula
Type
Primary, community-replicable, secondary, tertiary.
Grade
Awarded A–E on completeness and rigor.
Source quality
Academic, government, reputable press, blog, unverified.
Independence
Distance from the subject of the claim.
Scope
How comprehensive the underlying analysis is.
Reproducibility
Can someone else re-run the test and check the result?
Age
Fresh, recent, older, stale. Time decays score.
Conflict
Disclosed soft conflict, undisclosed hard conflict.
The full methodology lives in our research piece How we score VPN evidence. The database it produces is 3,469+ records and counting.
§ 05 — Specimen · Evidence record
A single record from the TheVPNMatrix evidence database, with every component of the Evidence Quality Score visible. This is what every claim on the site is backed by.
── Claim
Mullvad operates RAM-only VPN servers. No data persists to disk between reboots.
Primary source
Mullvad VPN AB · Server infrastructure
mullvad.net/servers · retr. 2026-04-12
Independent verification
Audit by Assured AB · July 2025
Methodology and findings published
── Score breakdown
EQS · 8 components
Type · Primary
Direct from provider
Grade · A
Comprehensive, with audit appendix
Source quality · Verified independent
Audited technical disclosure
Independence
Third-party audit by Assured AB
Scope
Full infrastructure documented
Reproducibility
Audit methodology published
Age · Fresh
Retrieved 2026-04-12
Conflict of interest · None
No undisclosed relationship
Evidence Quality Score
21/ 21
Classification
● Strong record
Eligible for public scoring
Every other claim on TheVPNMatrix carries one of these. If a placement surprises you, the records that produced it are public.
Evidence ledger
We avoid billboard statistics unless the source can be inspected. Public claims are treated as records with owners, cadence, and release-time checks.
EQS-003469
3,469 sourced records
Quarterly source audit
DPIA-SN-2026
Completed before public launch
Reopened on material feature change
SITE-TELEMETRY
No analytics pixel or tracking cookie
Checked on release
PETS-RESEARCH
Research mapped to implementation gates
Updated when claims change
§ 06 — Exhibit
An excerpt from our litigation-grade response to the Home Office consultation on facial recognition (DEP2025-0828).
── Submission · executive summary
“Mass biometric surveillance of public spaces without judicial pre-authorisation, statutory basis, or adequate equality protections is incompatible with ECHR Articles 8, 10, 11, and 14, Data Protection Act 2018 Part 3, and the Public Sector Equality Duty under the Equality Act 2010 s.149.”
Home Office DEP2025-0828 · response of record · 11 February 2026
Read the full submissionHow we help
Data protection, AI governance, and online safety compliance for UK organisations. Every engagement ends in a prioritised, specific remediation plan.
Technical foundation
The primitives we research, apply, and build with.
Math you can verify, not policies you have to trust.
Compute on data without seeing it.
Prove things about yourself without giving up everything.
What we are watching, testing, and contributing to.
Research
Our litigation-grade response to the Cabinet Office consultation on digital identity (CP 1498). Conditional support in principle, ten demands in primary legislation.
A transparent, reproducible evidence-scoring system across 28 criteria. Every claim on TheVPNMatrix.com is backed by a record in this database.
Privacy-by-Design is a legal requirement under UK GDPR, not just a best practice. This guide explains the seven foundational principles and how UK businesses can implement them.
