Paper 1: LOC Signatures Across Biological and Artificial Minds
Cross-system validation of 13 cognitive functions in 5 LLMs and 21 EEG subjects. Seven functions show same-direction effects across substrates.
AI Mind Engine
Enterprise open-source AI pilots fail because the output isn't trustworthy enough—not because the model isn't smart enough. Our domain-expert LoRA adapters close that gap. Inside your VPC. Audit-ready. Production-grade.
Open-source LLMs know the right answer but can’t produce the right artifact. Credit memos come out as essays. SAR narratives miss the field labels. The output isn’t trustworthy enough for production.
Data sovereignty, regulatory audit requirements, cost at scale, vendor lock-in. Your most valuable workloads can’t leave your infrastructure.
The models that ace benchmarks are the least coherent internally (r = −0.932). You need a better measurement—and a better solution.
Our LOC framework measures 13 cognitive functions in any LLM’s hidden states. Not what it knows—how well it uses what it knows.
Our training method directly optimizes how the model deploys its existing knowledge. No new data. No fine-tuning on your proprietary information.
A LoRA adapter that loads into your existing vLLM/TGI/SGLang stack. Zero code changes. Same latency. Coherent output.
44% → 83%
Coherence improvement
+39pp
Average gain across 6 FS domains
<1pp spread
Balanced across all domains
6 domains
All above 83%
Standard AI writes about the task. With our adapter, it writes the artifact.
Risk memos, regulatory reporting, compliance, fraud investigation
Clinical notes, diagnostic reports, care coordination
Contract review, regulatory filings, case summaries
Production-quality code, agentic workflows, code review
Need a coherence adapter for your specific domain? We build it in 4 weeks.
The LOC framework defines 13 cognitive functions measurable in both human EEG and AI hidden states—the first unified measurement system for biological and artificial minds.
Cross-system validation of 13 cognitive functions in 5 LLMs and 21 EEG subjects. Seven functions show same-direction effects across substrates.
How coherence-based training transforms open-source LLMs from benchmark performers into domain-ready production systems.
Or try the free General Coherence Adapter.