Reimagining Synchronized Browsing and Algorithmic Transparency.
BiasRadar empowers groups with seamless, secure, interactive co-browsing for research, comparison, and shared decisions. We reveal the hidden algorithmic behaviors that shape your digital reality.
1M + Trusted Customers
One Click at a Time
Privacy First
Your cookies, logins, and personal data never leave your browser. We only stream what you choose to share.
Screen sharing only
Data harvesting
No research focus
Complex setup
Limited exports
One Click at a Time
Co-Browsing
Your cookies, logins, and personal data never leave your browser. We only stream what you choose to share.
Co-Browsing
Co-Browsing
Co-Browsing
Your data stays yours. Period.
Unlike traditional screen sharing or proxy-based browsers, BiasRadar uses a local-first architecture. We sync the state of the DOM (the page structure) between users, not the video stream.
No session recording on our servers- End-to-end encrypted signaling
- Zero personal data persistence
- You control what gets shared
The BiasRadar Difference
Our Mission
To make invisible algorithmic personalization visible, fair, and accountable for everyone. We believe in an internet where price discrimination and bias cannot hide in the shadows.
Ethical AI
Part of the Algorethics ecosystem.
Secure by Design
Privacy isn't an option, it's the default.
Human-Centered
Empowering users, not exploiting them.
Meet The Minds
About BiasRadar
Making the Invisible Visible
BiasRadar is a real-time transparency platform built to expose how algorithms treat users differently. In a digital world shaped by personalization engines, hidden scoring systems, and adaptive pricing models, what you see is no longer neutral.
We believe hidden personalization should become shared truth.
BiasRadar enables researchers, journalists, regulators, and everyday users to detect price discrimination, steering, content hiding, and algorithmic bias — instantly and without compromising privacy
Part of the Algorethics ecosystem, BiasRadar represents a new category of technology: real-time algorithmic transparency infrastructure.
Leadership & Advisory
Stephen Antony Venansious
Founder & Architect - Algorethics & BiasRadar
Stephen Antony Venansious is a technology entrepreneur, data scientist, and the visionary architect behind the Algorethics AI Library and BiasRadar. Inspired by the Rome Call for AI Ethics... Read More
Robert McNamara
Co-Founder & Chief Ethical Innovation Officer
Robert McNamara is a technologist and ethical innovator known for developing TriggerSmart, a globally recognized childproof smart gun leveraging RFID safety mechanisms.At BiasRadar... Read More
Prof. Dr. Jose Berengueres
Chief Mentor & Principal Ethical AI Advisor
Prof. Dr. Jose Berengueres is an internationally respected academic in artificial intelligence and human-computer interaction, holding a PhD in bio-inspired robotics... Read More
Our Mission
Why BiasRadar Matters
Our Mission
Detect. Compare. Reveal
Algorithms make millions of decisions every second.
Most users never know when their digital experience is being altered.
BiasRadar changes that.
Through privacy-first DOM synchronization and real-time co-browsing, we allow users to compare digital realities — side by side — exposing price variation, decision drift, personalization shifts, and hidden filtering mechanisms.
We do not harvest data.
We do not proxy your browsing.
We do not compromise privacy.
We simply reveal what is already happening.
Why BiasRadar Matters
Traditional tools rely on screenshots and post-event analysis.
BiasRadar operates in real time.
Traditional methods harvest user data.
BiasRadar keeps it local.
Traditional screen sharing shows pixels.
BiasRadar synchronizes the digital reality itself.
As AI systems increasingly influence credit decisions, pricing models, search results, and consumer choices, transparency is no longer optional. It is essential.
BiasRadar exists to ensure that hidden personalization becomes accountable, comparable, and visible
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