System Reliability V1.0

Fix the truth
Secure the truth before

Clarity is the pre-ingestion firewall for your RAG Pipeline

Stop fighting agent failures. Start fixing their source.

Your vector database is contaminated. Conflicting policies, outdated PDFs, and logical inconsistencies are silently killing your agent's reliability. You can't prompt-engineer your way out of bad data.

Neuro-Symbolic Engine
Conflict Resolution

The Blind Spot

The Realist

You know your policy documents contradict each other. Multiple versions of truth exist across your knowledge base - 2021 policies alongside 2025 updates.

The Optimizer

You think it's the prompt. You don't realize your RAG pipeline retrieved a document that is factually wrong because it was never deprecated.

The Trap

I can just prompt the LLM to fix it

This is the most expensive statement

ERR_CONFLICT_DETECTED
SEMANTIC_MISMATCH
TEMPORAL_OVERRIDE_FAIL
The Reality

You need symbols, and not just probabilities

Conflict resolution isn't a creative writing task

  • [01]Temporal precedence is mathematical, not semantic.
  • [02]Regulatory hierarchy is a graph, not a vector.
  • [03]Audits require determinism, not "temperature: 0.7".
  • [04]LLMs see all versions as equally valid. They can't distinguish authoritative truth from deprecated policy.

Neuro-Symbolic

The Missing Link

Neural

Semantic Understanding

LLMs are excellent at reading nuance. They understand that "mandatory" and "required" mean the same thing. They provide the flexibility.

CogniSwitch
Symbolic

Logical Enforcement

Knowledge Graphs are rigid. They understand hierarchy, dates, and provenance. They provide the structure.

We use Neural models to detect the conflict, but Symbolic logic to validate the resolution.

This is why we don't hallucinate while resolving competing versions of truth.

Resolution Interface

FIG 1.0 // WORKSPACE
CONFLICT_RESOLVER.EXE
[SOURCE: POLICY_OLD.PDF]

All employees must submit expense reports by the 30th of the month.

[SOURCE: MEMO_NEW.DOCX]

Due to new accounting software, expense reports are now due by the 15th of the month.

AI Suggested Resolution (Neuro-Symbolic)

"Newer accounting memo (2024) supersedes older policy (2021) regarding dates."

System Specifications

01
Semantic Contradiction Detection
[Active]
Identifies statements with opposite meanings across disparate file formats.
02
Temporal Logic Engine
[Active]
Parses effective dates and versions to automatically deprecate old knowledge.
03
Authority Hierarchy
[Enforced]
Regulatory docs > Internal Policy > Operational Memos. Hard-coded precedence.
04
Audit Trail Resolution
[Immutable]
Every decision generates a cryptographic-style log for compliance reviews.
05
Format Preservation
[Active]
Input PDF -> Output PDF. Input DOCX -> Output DOCX. Structure maintained.
06
Hack Elimination
[Active]
Replaces manual reviews, prompt gymnastics, and crossed fingers with deterministic validation.

Ready to stop debugging your own data?

THE KNOWLEDGE MANIFESTO

You Can't Prompt Your Way to a Source of Truth.

Reliability doesn't start from the chat window. It starts from your knowledge foundation.

Your agents contradict themselves because Policy_2021.pdf says '30 days' and Policy_2024.pdf says '14 days.' Your LLM learned both. It's not hallucinating—it's pattern-matching.

Clarity resolves conflicts at the source, creating a single, verified knowledge graph before the first token is generated.

Fix the truth before the token.

See Clarity in Action →