We don't expose trade secrets. We expose silence.
Axiocore scores every company using AI on what they disclose, what data they use, and whether users are meaningfully informed. The index is public. The standard is clear.
Pro-transparency. Not anti-AI.
We score what companies disclose about their AI use, not how sophisticated their technology is. Companies keep their secret sauce. What belongs to the public is whether users know AI exists, what data it uses, and why.
Every company. Not just big tech.
The restaurant using AI for scheduling. The insurer scoring your claim. The hiring tool reading your resume. Axiocore covers every company that uses AI to make decisions about people, at every scale, across every industry.
Standards-led. Not pay-to-play.
Companies can earn a seat at the table by committing to our published standards and pursuing certification. What they cannot do is buy a better score. The methodology is fixed, public, and ours alone.
Indexing AI use across every major industry
AI is embedded in decisions that affect your health, finances, career, and daily life. Axiocore tracks it all.
AI is reading your records. Patients should know.
Healthcare providers and insurers are deploying AI to assist in diagnoses, flag risk factors, and influence treatment pathways. When a model influences your care, you have a right to know it was involved, what data it used, and how confident it was.
What we score
- Diagnostic assistance tools
- Insurance risk scoring
- Treatment recommendation systems
- Patient data used for training
AI approves or denies you. Transparency is non-negotiable.
Banks, lenders, and fintech platforms use AI to make credit decisions, flag fraud, and personalize financial products. These decisions have direct consequences on people's lives. The criteria and data behind them must be disclosed.
What we score
- Credit scoring and lending decisions
- Fraud detection false positives
- Personalized product targeting
- Risk profiling and pricing
Your resume is being screened by a model. Know what it looks for.
AI tools are embedded throughout the hiring process, from resume screening to interview analysis to culture-fit scoring. Candidates rarely know these systems exist, let alone how they work. That lack of disclosure affects millions of job seekers every year.
What we score
- Resume and application screening
- Video interview analysis
- Culture-fit and personality scoring
- Workforce management and monitoring
Your premium was set by an algorithm. You should know why.
Insurance companies use AI to price policies, assess claims, and detect fraud. The data inputs into these models, including behavioral, location, and social data, are rarely disclosed to policyholders who have no meaningful recourse.
What we score
- Policy pricing and underwriting
- Claims processing and denial
- Fraud detection models
- Behavioral data used in scoring
Dynamic pricing and personalization run on your data.
Retailers use AI to personalize product recommendations, adjust prices in real time, and predict purchasing behavior. Consumers are rarely informed that the price they see may differ from the price shown to someone else, or why.
What we score
- Dynamic and personalized pricing
- Product recommendation engines
- Purchase behavior profiling
- Inventory and demand prediction
Three things every consumer deserves to know
Transparency is not about revealing how AI works. It is about confirming that users know it exists, know what data it uses, and know why. Those three things. Nothing more, nothing less.
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The Axiocore Index
A searchable, public database of companies scored on how transparently they use AI. Every industry. Every scale. Updated continuously.
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The Transparency Score
Our methodology evaluates what companies disclose about their AI use, what data is involved, and whether users are meaningfully informed. Not whether their technology is good.
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The Axiocore Seal
Companies that meet our published standard earn a certification consumers and regulators can trust. The Seal signals not just disclosure, but that data is handled responsibly, retained only as needed, and that user rights are respected. Transparency and safety. Both. Together.
Transparency requires safety.
When a company earns an Axiocore score, it signals more than disclosure. It means the data behind that AI is handled responsibly, with protection, limits, and accountability to the user.
Protected by default
Disclosure is not protection. Companies that meet our standard show how data is stored, who can access it, and what controls are in place.
Retained responsibly
Data collected for one purpose should not live forever. Our scoring requires defined retention limits, not just a policy on paper but a practice in place.
User rights, enforced
Access, correction, and deletion. We check whether these rights are genuinely usable, not just buried in a legal page.
How the index works
No black boxes. No pay-to-play ratings. Our scoring methodology is fully published so anyone can understand how a company earns or loses its score.
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Step 01
We research
Our team analyzes company disclosures, terms of service, privacy policies, and AI usage statements using a consistent, published methodology.
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Step 02
We score
Every company receives an Axiocore Transparency Score. A clear rating based on what they disclose, not on how sophisticated their AI is.
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Step 03
You decide
Scores are public, searchable, and free. Consumers, journalists, regulators, and businesses can see exactly where every company stands.
Why this matters
Consumers, advocates, and companies all need the same thing: a clear, honest standard. Not fine print. Not a press release. A score.
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“I had no idea the app I use every day was using AI to make decisions about what I see, what I buy, and what I believe. I just want to know. That should not be too much to ask.”
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“The EU AI Act is a start, but compliance without visibility is just paperwork. What Axiocore is building is the missing public layer. The part regulators cannot do alone.”
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“We want to be transparent. We just did not have a clear standard to measure against. A published, independent framework gives us something concrete to build toward.”
The index is being built. Be first to know.
Axiocore launches with transparency scores for companies across six industries. Preview the index and request a walkthrough before launch.
Sample report
A searchable view of how companies score on AI transparency. This is demo data.
- Meridian Health Healthcare
- CoverPoint Mutual Insurance
- FinanceFlow Financial Services
- RetailMind Retail & Commerce
- HireCore HR & Hiring
- PolicyAI Insurance
- ShopSmart Retail & Commerce
TikTok
Social MediaScore breakdown
- Disclosure Clarity 84
Publishes AI labels on some features; gaps remain on feed ranking transparency.
- Data Scope 79
Documents watch history and engagement signals; third-party data use is vague.
- Purpose Transparency 76
Explains ad personalization at a high level; moderation AI criteria are limited.
- Safety & Retention 85
Retention policy is published; user deletion path is documented.
What they do well
- Published safety center documents how AI supports content moderation and ad delivery.
- Clear in-app labels on some AI-assisted creative and recommendation features.
Where they can improve
- Behavioral prediction models that shape the For You feed are not explained to users.
- Content moderation decision criteria are not available in plain language.
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