Antidote Philosophy Contact
Data is the centre.
Everything else is ripples
// reduced accuracy
// model failure in production
// backdoor in training data
// trust collapses downstream
// higher training costs
// spurious correlations
// increased energy expenditure
Scroll to look deeper

A single drop of poison is all it takes. Everything after learns from it.

Blindsight is an AI integrity company. We exist because the threat to AI doesn't start at the model. It starts at the data.

Continue
// Why shift left

Security invested early
compounds at every stage.

You wouldn't set out into uncharted territory without preparation. You'd bring failsafes, equipment, a map of what could go wrong. You might improvise later, but improvisation under pressure is never the same as readiness by design.

// Where most teams put security
After deployment.

Monitoring outputs. Catching anomalies post-inference. Reacting to model failures that already happened. By the time you see the symptom, the compromised data has already shaped the model's understanding of the world.

// Where the threat actually lives
Inside the data.

Poisoned samples. Mislabeled ground truth. Silent corruption from pipeline drift. The data your model trusts most is the data no one inspected. And it only takes 1–3% contamination to fundamentally alter what a model learns.

// Where Blindsight operates
At the origin.

Before the first training run. Before the model forms its first representation. Integrity at the data layer means every subsequent stage: training, evaluation, deployment, production. Each one inherits trust, not risk.

Shift left. Invest early. The cost is small. The protection compounds through every stage of your pipeline, from training to production to the decisions your customers rely on.
// What we believe
AI was supposed to amplify possibility.

Not automate blindspots. Not inherit the biases and errors that humans couldn't see in the data. The promise of AI depends on the integrity of what it learns from.

Prevention means understanding.

You can't protect what you can't see. The black box isn't just the model. It's the data pipeline feeding it. Blindsight exists to make that pipeline visible, auditable, and trustworthy.

The builders deserve better infrastructure.

Right now, the people building AI are flying blind on data integrity. They move fast because they have to. We exist so they can move fast and move safely. Speed and trust aren't opposites. They're compounding forces.

We want to make AI the force it was supposed to be.

The transformative technology that amplifies human capability, not one that silently degrades under corrupted foundations. Iron out the kinks. Earn the trust. Let AI be what it promised.

We are the human consciousness
behind artificial intelligence.

Think with conscience.
Understand with depth.
Build with purpose.
Decide responsibly.

In a world where algorithms evolve
faster than oversight,
we stand for integrity.
For visibility where there are blindspots.
For systems that remain aligned
as reality shifts.

Together, we see what remains unseen.
Beyond blindspots. We see within.
// Where this goes

AI alignment doesn't start
at the model layer.
It starts with data.

You can't align what you have no visibility over. You can't trust what you haven't verified. Every conversation about safe AI, responsible AI, aligned AI eventually circles back to the same question: what did the model learn from, and can you prove it was trustworthy?

Blindsight is building the trust layer for AI. The foundational infrastructure that lets enterprises adopt AI with confidence and lets builders innovate without compromise. This is where alignment begins. At the source.

This is what we believe.
Antidote is what we built because of it.

// AI Integrity Toolkit · Now in pilot