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Resonant Field Storage (RFS) Use Cases

Real-world applications of Resonant Field Storage. See how field-native memory with mathematical guarantees solves critical problems.

Resonant Field Storage (RFS) Use Cases

These use cases demonstrate how RFS transforms memory-critical applications with deterministic guarantees.

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RFS

Research Knowledge Graph

Scientific research memory that connects papers, findings, and hypotheses. RFS enables research assistants that understand the landscape of knowledge and can trace claims to sources.

Scientific research generates vast amounts of knowledge, but connecting findings, hypotheses, and papers across disciplines remains a challenge. Traditional research tools rely on citation networks an...

Key Benefits

  • Connected knowledge representation
  • Claim-to-source tracing
  • Hypothesis relationship mapping
  • Research evolution tracking
Click to learn more →
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RFS

Enterprise Knowledge Base

Mission-critical knowledge retrieval for regulated environments. RFS provides deterministic knowledge access with complete provenance, enabling compliance-grade knowledge management systems.

Enterprises in regulated industries require knowledge management systems that can prove the accuracy, provenance, and integrity of every piece of information. Traditional knowledge bases rely on searc...

Key Benefits

  • Deterministic knowledge retrieval
  • Complete provenance tracking
  • Mathematical integrity guarantees
  • Compliance-grade audit trails
Click to learn more →
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RFS

Pharmaceutical Discovery

Accelerate drug discovery with field-native memory that connects molecular structures, research findings, and clinical outcomes. RFS enables research systems that understand relationships across the entire drug development pipeline.

Pharmaceutical research generates vast amounts of data across molecular structures, biological pathways, clinical trials, and research papers. Traditional systems struggle to connect these disparate d...

Key Benefits

  • Molecular relationship discovery
  • Cross-study pattern recognition
  • Clinical outcome correlation
  • Research gap identification
Click to learn more →
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RFS

Incident Memory On-Call

Persistent incident memory for DevOps teams. Every incident, resolution, and post-mortem is preserved in the field with complete provenance tracking. When similar issues arise, relevant historical context surfaces automatically.

DevOps teams face the constant challenge of learning from past incidents while maintaining fast response times. Traditional incident management systems rely on keyword search and manual tagging, which...

Key Benefits

  • Complete incident history with provenance
  • Automatic context surfacing for similar issues
  • Mathematical guarantees on data integrity
  • Audit trail for compliance requirements
Click to learn more →
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RFS

RAG with Proofs

Retrieval-augmented generation with mathematical guarantees. Unlike traditional RAG that provides probabilistic results, RFS-backed RAG offers deterministic retrieval with formal provenance tracking.

Large language models excel at generating text but struggle with factual accuracy and source attribution. Traditional RAG systems retrieve documents using approximate nearest neighbor search, which pr...

Key Benefits

  • Deterministic retrieval results
  • Provenance tracking for every result
  • Mathematical guarantees on recall accuracy
  • Explainable retrieval paths
Click to learn more →
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RFS

Code Intelligence

Codebase memory that understands context, history, and relationships. RFS enables code assistants that remember not just code, but the intent, decisions, and evolution behind it.

Modern codebases are complex ecosystems where understanding context, intent, and relationships is crucial for effective development. Traditional code search tools rely on text matching and static anal...

Key Benefits

  • Contextual code understanding
  • Decision history preservation
  • Relationship mapping across codebase
  • Intent-aware code suggestions
Click to learn more →
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RFS

Compliance Legal Archive

Legal and compliance document management with immutable audit trails. Every document, version, and access is recorded with mathematical guarantees on integrity.

Legal and compliance teams require absolute certainty about document integrity, access history, and relationships between documents. Traditional document management systems provide basic versioning an...

Key Benefits

  • Immutable document history
  • Complete access audit trails
  • Integrity verification for any document
  • Regulatory compliance support
Click to learn more →
🔬
RFS

Research Knowledge Graph

Scientific research memory that connects papers, findings, and hypotheses. RFS enables research assistants that understand the landscape of knowledge and can trace claims to sources.

Scientific research generates vast amounts of knowledge, but connecting findings, hypotheses, and papers across disciplines remains a challenge. Traditional research tools rely on citation networks an...

Key Benefits

  • Connected knowledge representation
  • Claim-to-source tracing
  • Hypothesis relationship mapping
  • Research evolution tracking
Click to learn more →
🏢
RFS

Enterprise Knowledge Base

Mission-critical knowledge retrieval for regulated environments. RFS provides deterministic knowledge access with complete provenance, enabling compliance-grade knowledge management systems.

Enterprises in regulated industries require knowledge management systems that can prove the accuracy, provenance, and integrity of every piece of information. Traditional knowledge bases rely on searc...

Key Benefits

  • Deterministic knowledge retrieval
  • Complete provenance tracking
  • Mathematical integrity guarantees
  • Compliance-grade audit trails
Click to learn more →
💊
RFS

Pharmaceutical Discovery

Accelerate drug discovery with field-native memory that connects molecular structures, research findings, and clinical outcomes. RFS enables research systems that understand relationships across the entire drug development pipeline.

Pharmaceutical research generates vast amounts of data across molecular structures, biological pathways, clinical trials, and research papers. Traditional systems struggle to connect these disparate d...

Key Benefits

  • Molecular relationship discovery
  • Cross-study pattern recognition
  • Clinical outcome correlation
  • Research gap identification
Click to learn more →
🚨
RFS

Incident Memory On-Call

Persistent incident memory for DevOps teams. Every incident, resolution, and post-mortem is preserved in the field with complete provenance tracking. When similar issues arise, relevant historical context surfaces automatically.

DevOps teams face the constant challenge of learning from past incidents while maintaining fast response times. Traditional incident management systems rely on keyword search and manual tagging, which...

Key Benefits

  • Complete incident history with provenance
  • Automatic context surfacing for similar issues
  • Mathematical guarantees on data integrity
  • Audit trail for compliance requirements
Click to learn more →
📖
RFS

RAG with Proofs

Retrieval-augmented generation with mathematical guarantees. Unlike traditional RAG that provides probabilistic results, RFS-backed RAG offers deterministic retrieval with formal provenance tracking.

Large language models excel at generating text but struggle with factual accuracy and source attribution. Traditional RAG systems retrieve documents using approximate nearest neighbor search, which pr...

Key Benefits

  • Deterministic retrieval results
  • Provenance tracking for every result
  • Mathematical guarantees on recall accuracy
  • Explainable retrieval paths
Click to learn more →
💻
RFS

Code Intelligence

Codebase memory that understands context, history, and relationships. RFS enables code assistants that remember not just code, but the intent, decisions, and evolution behind it.

Modern codebases are complex ecosystems where understanding context, intent, and relationships is crucial for effective development. Traditional code search tools rely on text matching and static anal...

Key Benefits

  • Contextual code understanding
  • Decision history preservation
  • Relationship mapping across codebase
  • Intent-aware code suggestions
Click to learn more →

Coming Soon

As TAI and AIVA mature, we'll be adding use cases for personal AI assistance and system-building intelligence.

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TAI Use Cases

Personal knowledge management, continuous context, and privacy-preserving AI assistance.

Coming Soon
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AIVA Use Cases

System composition, architecture evolution, and self-improving AI with mathematical proofs.

Coming Soon

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