Product Surface
The browser layer for visibility, explanation, and control.
Veynra is a local AI privacy browser that turns hidden web behavior into evidence you can understand and act on.
Core Story
- Explain third-party script behavior in plain English.
- Surface who touched the page and what was blocked.
- Let users escalate with strict mode, policies, and isolated sessions.
Feature Pillars
The product story behind the Veynra wedge.
Veynra wins by making the modern web visible, explainable, and controllable without cloud dependency.
Request + Script Audit
Inspect both what the page requests and what downloaded JavaScript actually tries to do.
- Request interception
- Script-body capture
- Reasoned decisions
Fingerprint Defense
Shape browser identity surfaces before they can be stitched into a profile.
- Navigator masking
- Screen and timezone shaping
- Whitelist control
Control Surface
Go from “what happened?” to “stop it” without leaving the product.
- Strict mode
- Per-site policy rules
- Isolated tabs
Screenshots
Product frames that show how Veynra works.
These panels show the activity, the explanation, and the control layer in one place.
Security Activity
Threat pulse and watcher visibility.
Turn noisy tracking behavior into a live summary users can actually follow.
Threat pulse81
Companies watching6
Trackers detected14
FP attempts8
DoubleClickTracker rule match + blocked request
Unknown CDNObfuscated third-party script
Explainability
Plain-English script reasons instead of vague warnings.
Show the exact signal cluster that moved the score.
Canvas readUsed to generate browser fingerprints
Storage accessThird-party script touched browser storage
Function constructorRuntime code generation raised suspicion
Explainable
Local
Auditable
AI Firewall Ops
Make the local learning loop visible without looking like magic.
Versioning, samples, and reviews give the site a serious product edge.
Active modelv2
Feature count31
Seed corpus60
Trusted local0
Promotion gateWaiting for trusted local reviews
User feedback loopFalse-positive labels strengthen future models
How It Works
From network request to local decision.
- Intercept the request at the browser layer before the page blindly proceeds.
- Capture script bodies when needed and extract signals from the actual code.
- Score the event locally using rules, heuristics, and the current script model.
- Explain the decision and let the user escalate with policy or containment controls.
Why It Matters
Most privacy tools block things. Veynra shows you what is actually happening.
- Developers can see which third-party bundles are risky before shipping them.
- Researchers can reproduce fingerprinting behavior with a visual audit trail.
- Security teams can move from detection to action without cloud dependency.
- The product story is defensible because it combines local AI, browser inspection, and action-ready UX.
Next Step
Use the product page as the proof layer behind the demo.
Home frames the problem, Demo shows the motion, Product proves the value, and Waitlist captures intent.