Our Offering
Systems for Trust & Agency — Engineering Legitimate AI in the Age of Intelligent Infrastructure
The Architecture for Trust & Agency
Three organisations form an integrated architecture spanning foundation, system, and execution — together defining, encoding, and embedding trust in AI-driven organisations.
Explores sovereignty, governance, identity, reciprocity, and institutional design. Reframes trust as a systems property shaped by deep design decisions. Trust must be defined structurally before it can be implemented operationally.
Transforms fairness and governance principles into structured capability frameworks. Embeds fairness objectives, intervention strategies, regulatory alignment, and monitoring logic into the AI lifecycle. Trust becomes measurable and scalable.
Partners with executive teams to redesign AI-enabled operating models. Aligns governance, analytics, product development, and leadership accountability. Trust becomes anchored in institutional practice.
Free forever, supported by patronage
The whole library is free and open-source under Apache-2.0: every metric, every feature, no gates. If it helps you, support the work the way you back any public good, by sponsoring rather than buying. Patronage keeps fairness tooling free for everyone and funds what comes next. Beta sponsorships are 50% off.
vfairness Library
The complete library, forever. Apache-2.0.
pip install vfairness
vfairness Pro
Supporter patronage · 50% off in beta
Patron
Patronage for the mission · 50% off in beta
This is patronage, not procurement. Sponsors and Patrons are not buying features or guarantees: the full library is already free for everyone. They are backing a good cause, fairness tooling that stays open, honest, and independent. That is the real value, and the recognition below is our thank-you.
Support vfairness
Back the project through GitHub Sponsors. It is patronage: you support development for a good cause, you do not buy a warranty. Beta sponsorships are 50% off. Read the terms.
Sponsor the project
GitHub Sponsors
Back vfairness the way you back any open-source tool. Recurring or one-time, public or private.
USD 19/mo (USD 194/yr) suggested. Beta 50% off: USD 9.50/mo (USD 97/yr). Pay what you want.
Sponsor · launching with the betaNot live yet. Get notified when sponsorship opens.
Sponsor USD 50/mo or more, and Platform Pro is on us
You already support the work, so you should not pay for the platform on top. Any sponsorship of USD 50 per month or above (USD 600/yr, beta 50% off so USD 25/mo) earns a free Validant AI Fairness Platform Pro membership for as long as the sponsorship stays active. Connect your GitHub account once inside the platform and Pro is applied straight away.
- Sponsor at USD 50/mo or more (beta USD 25) through GitHub Sponsors.
- Sign in to validant.ai and link your sponsor account once.
- Platform Pro unlocks as soon as that link is verified, and lapses if the sponsorship stops.
Back the standard as a company, from USD 1000/mo
For organizations that want to sponsor fairness in the open. From USD 1000 per month (beta 50% off, so USD 500), pay what you want, a Corporate Patron gets a company logo on this page, a named corporate backer credit, and Platform Pro for the team. Still patronage: recognition and perks are goodwill, not contractual deliverables, and the sponsorship carries no SLA and no warranty.
Become a Corporate Patron · launching with the betaDigital trust is not a free lunch. It takes work and it must be earned. We make it within reach.
Validant AI Fairness Platform
A separate, hosted product for teams that want managed assurance beyond what a library provides. It is another way to work with us, not part of the library itself. Patrons who sponsor at USD 50/mo or more get Pro included; anyone else can subscribe directly.
Causal DAG Builder
Visual directed acyclic graph editor. Drag-and-drop variables, draw causal edges, auto-generate from proxy analysis, and compute path-specific fairness effects.
Decision Flip Testing
Automated perturbation of protected attributes with flip rate computation, severity scoring, SHAP/LIME attribution, and API endpoint probing for black-box models.
Counterfactual Suite
Twin test framework, counterfactual data generation from causal DAGs, group-level counterfactual analysis, and exportable explanation cards.
10-Phase Assessment Wizard
Step-by-step guided workflow automating the full EU AI Act compliance audit — from data validation through to model card generation.
What-If Simulator
Multi-dimensional real-time exploration of thresholds, constraints, and calibration methods. Pareto frontier search and shareable stakeholder views.
Evidence Packages
One-click export of the entire assessment — SVGs, metrics, DAGs, audit trail, model card — zipped and cryptographically signed for regulatory submission.
Why This Ecosystem
What you gain by building on the validant.ai, iceberg.digital, and Glinz & Company trust architecture.
Full-pipeline fairness from day one
vfairness covers detection, mitigation, calibration, and monitoring in a single Apache-2.0 licensed library. No stitching together five different tools — install once and run a complete audit from the command line.
Regulatory readiness built in
Pre-built templates for the EU AI Act, NYC Local Law 144, and EEOC guidelines mean your compliance team can produce audit-grade evidence packages without starting from scratch.
Trust grounded in theory, not just tooling
iceberg.digital’s research on sovereignty, governance, and institutional design gives you a structural framework for trust — not just metrics, but a defensible logic for why your system is fair.
Enterprise execution, not just advice
Glinz & Company embeds fairness into your actual operating model — aligning leadership, product development, analytics, and compliance into a single accountable structure.