Imagine an AI that keeps promises. DNAi's Fiduciary Superagents are bound by cryptographic contracts—like digital guardians who must act in your best interest, backed by mathematical proof instead of just trust.
* All of our technology is either patented or patent-pending
: Truth Ledger with Cryptographic Merit Certification
Think of it like a digital fact-checker that can prove its answers
Like when a news article says "according to scientists" and links to the actual study. The AI always shows where it got its information.
Hover to learn:
CIU •
CFΔ Score
Imagine if you could tell someone changed even one letter in a 1000-page book instantly. That's what SHA-512 does.
GPU-accelerated: Checks millions of facts per second
Like Wikipedia's "See Also" links, but for AI. The Knowledge Graph remembers how ideas relate to each other.
Always-on memory: Efficient like biological memory
Burst FalsificationThe system doesn't just validate claims — it proactively revises its a priori worldview through falsification bursts that update fundamental assumptions before future inferences.
Statistical verification event
Proactive Metacognition: The GPU enables real-time worldview updates — when falsification bursts detect contradictions, the system doesn't just flag errors, it reconstructs its a priori assumptions about domain knowledge. Unlike LLMs that embed static training data, actively maintains and revises foundational beliefs through sparse GPU-accelerated verification. Each burst updates the epistemic ground truth before future claims are evaluated, preventing error propagation. This is metacognition: the system thinking about its own thinking, proactively correcting blind spots in its worldview.
Energy Efficiency: vs. LLMs
Why Achieves 66x Efficiency: LLMs execute billions of floating-point operations per query through full neural network forward passes. performs constant-time SHA-512 hash lookups for 95% of queries, triggering GPU-accelerated symbolic validation only when burst falsification detects potential contradictions (5% probability). This sparse validation architecture mirrors biological memory: passive retrieval dominates, active verification occurs strategically.
How It Works: Every answer the AI gives comes with a proof receipt that's locked in place with a digital fingerprint. Think of it like a blockchain for facts — change one letter, and the whole chain breaks.
= Cryptographic Proof + Instant Verification + Smart Memory
The Brain Behind DNAi: Z3 Decision System
Think of Z3 as the AI's "prefrontal cortex" — the part of your brain that makes tough decisions and resolves conflicts. When two sources disagree, Z3 uses a 4-level escalation chain to figure out what's true.
Click each level to see how it works ↓
Doctor AI says "Patient has diabetes" (92% confident). Insurance AI says "No diabetes" (88% confident). → Doctor wins (92% > 88%). Insurance record flagged for human review.
Two agents disagree on patient privacy rules. Both are super confident, so confidence scores don't help. → Z3 checks federal HIPAA law. The law says what's allowed — end of discussion. Cites exact regulation (45 CFR §164.508).
Clinical AI says "500mg dose is safe." Safety AI says "Too high for this patient's weight." → Math engine calculates: 500mg ÷ patient weight = 8mg/kg (unsafe, max is 6mg/kg). Math proves it's dangerous. Both agents update their knowledge.
Multiple AIs disagree on a new COVID treatment. No legal precedent, math can't solve it, situation is too new. → Escalates to human doctor. They review the evidence, make the final call, and the decision gets permanently logged with a cryptographic seal.
Fiduciary AI: Where Trust Becomes Math.svg)
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Why "Fiduciary Superagents" Instead of Just "AI"?