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๐Ÿ“Š Benchmarks

Performance Comparison

RCT SignedAI achieves 99.7% accuracy vs 85% for single LLM, with 60% cost savings, full audit trails, and cryptographic signing.

0%
Accuracy
0.0%
Hallucination Rate
0%
Cost Savings
<0ms
Response Latency

Interactive Dashboard

Switch between Radar and Bar views to compare RCT SignedAI against Single LLM across key dimensions.

Performance Metrics

Accuracy
RCT SignedAI99.7%
Single LLM85%
Hallucination Rate
RCT SignedAI0.3%
Single LLM15%
Response Latency
RCT SignedAI<200ms
Single LLM~300ms
Cost Efficiency
RCT SignedAI60% savings
Single LLMBaseline
Audit Trail
RCT SignedAIFull
Single LLMNone
Cryptographic Signing
RCT SignedAIYes
Single LLMNo

Feature Comparison

โ† scroll to see more โ†’

FeatureRCTSingle LLM
Multi-LLM Orchestration
Cross-Verification
Dynamic Model Routing
Persistent Memory (RCTDB)
Cryptographic Signatures
Complete Audit Trails
Intent Understanding (FDIA)
Self-Evolution (Genome)
Basic Text Generation
Single Model API

Platform Comparison

How RCT Ecosystem stacks up against LangChain and AutoGPT across enterprise-critical capabilities.

โ† scroll to see all platforms โ†’

Capability
RCT Ecosystem
LangChain
AutoGPT
Hallucination Rate
0.3%
~12โ€“15%
~10โ€“20%
Accuracy Rate
99.7%
~85%
~80%
Cryptographic Audit Trail
โœ“ Full
โœ— None
โœ— None
Multi-LLM Consensus
โœ“ Up to 8 LLMs
~ Manual wiring
โœ— Single model
Persistent Memory
โœ“ RCTDB v2.0
~ Plugin-based
~ Limited
Response Latency
<200ms
~350โ€“600ms
~500msโ€“2s
Cost per Query
60% less vs baseline
Baseline
+20โ€“40% overhead
Enterprise Compliance
โœ“ Full audit+sign
โœ— DIY only
โœ— None
Intent-Centric Processing
โœ“ FDIA equation
โœ— Prompt-centric
โœ— Goal-decomp only
Self-Evolution (Learning)
โœ“ 7-Genome system
โœ— Static chains
~ Experimental

* Data based on internal benchmarks (2025). LangChain and AutoGPT figures based on publicly available research.

Test Infrastructure v5.4.5

First ever 0-failure milestone across the entire test suite โ€” March 21, 2026

4,849
Passed
0
Failed
6,738+
Total Tests
0.92
FDIA Accuracy
FDIA accuracy 0.92 vs industry average ~0.65. Test pyramid: Unit โ†’ Integration โ†’ Contract โ†’ Component โ†’ API โ†’ E2E โ†’ Performance โ†’ Security (8 levels). Zero failures across 6,738+ tests represents the first clean run in project history.

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