Our Patent-Pending Neuro-Symbolic AI Technology

    LLMs Need a Helping Hand

    LLMs Hallucinate
    Don't Have Domain Knowledge
    Don't Understand Company Language
    LLMs Need a Helping Hand

    DaaX Gives LLMs the Helping Hand They Need

    #1 on the FACTS Benchmark — Score: 77.7
    LLM LimitationDaaX
    Hallucinations
    DaaX Neuro-Symbolic AI Engine
    Don't Have Domain Knowledge
    Has Domain Knowledge via Pluggable Domain Knowledge Cartridges
    Don't Understand Company Language
    Understands Company Language via Pluggable Company Language Cartridges

    DaaX Neuro-Symbolic AI Engine

    DaaX Neuro-Symbolic AI Engine diagram

    ClaimGuard is the answer-verification layer inside LAKEer: every generated claim is decomposed and independently checked against the evidence before it reaches the user. Read the ClaimGuard blog.

    Three things that are not a DaaX 3D graph

    Not a Vector Index. Not a Fine-Tuned Model. Not a Rules Engine.

    Each of these solves a real problem. None of them can answer a constraint question correctly and provably.

    A vector index — RESEMBLES

    It finds text that reads like the question. A passage can resemble a perfect match while being wrong on the facts, and similarity alone has no way to catch that.

    A fine-tuned model — MEMORIZES

    It bakes a snapshot of your knowledge into its weights. When a spec or a policy changes, the snapshot goes stale, and there's no way to tell which parts.

    A rules engine — ENUMERATES

    It encodes the cases someone anticipated. Real question spaces are combinatorial — the cases nobody anticipated are exactly the ones people ask about.

    A DaaX 3D graph reasons — that's the whole difference.

    DaaX still uses vector and keyword search; they're among its retrieval channels. The graph sits above them, borrowing from both and adding the two things neither has on its own: typed relationships and per-claim provenance.

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