For builders who go deeper
The teams building the most reliable AI agents aren't guessing what their models do. They're seeing inside them. Prysm gives you that vision — so you build with understanding, not hope.

See through the complexity. Understand what your AI is actually doing.
Works with your stack
The blind spot
You've spent weeks perfecting your agent. The prompts are tight. The tools are connected. It works in testing. Then it hits production — and something breaks. A hallucination. A jailbreak. A response that makes no sense. You open the logs and start guessing. Eight hours later, you're still guessing. Not because you're not good enough. Because no one gave you the tools to actually see what's happening inside your model.
When your agent fails, you can't trace WHY it failed. You read logs, tweak prompts, and hope. That's not engineering. That's gambling.
Jailbreak attacks succeed over 90% of the time against unprotected agents. One bad prompt can make your AI leak data, ignore rules, or go completely off-script.
Your board asks how your AI makes decisions. Your compliance team needs an audit trail. Your customers want to trust it. You don't have answers — because you've never been able to look inside.
A different kind of builder
There are two kinds of teams building AI agents. The first kind calls an API, writes some prompts, and ships. When it breaks, they shrug. The second kind goes deeper. They want to understand every decision their model makes. They don't just want their agent to work — they want to know WHY it works. Prysm is built for the second kind.
Without Prysm
With Prysm
What you get
See which internal patterns activated, which features fired, and why your model chose that response. For the first time, you'll actually know what your AI is doing.
Prysm analyzes every prompt in real-time and blocks attacks before they reach your model. You set the rules. Prysm enforces them.
Stop reading logs for hours. Prysm shows you exactly where things went wrong — which layer, which feature, which decision. What took 8 hours now takes 8 minutes.
When your board, your compliance team, or your customers ask how your AI works — you'll have the answer. With evidence.
What we're building
We're building tools that let you look inside your AI models in real-time — not just at their outputs, but at the internal processes that produce them. Here's the direction we're heading.
Watch internal feature activations as your model processes each request. See which concepts light up and which stay silent.
Analyze incoming prompts for adversarial patterns, jailbreak attempts, and injection attacks — before they reach your model.
Generate human-readable explanations of why your model made a specific decision. Built for compliance, audits, and trust.
Stop guessing. Start understanding. Join the builders who go deeper.
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Built on research from
Sparse Autoencoders
Superposition Research
Circuit Discovery
Mechanistic Interpretability