AI Mind Engine

Your Regulated AI Deserves a Production-Ready Mind

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.

The Problem

Your AI pilot stalled

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.

Closed APIs aren’t an option

Data sovereignty, regulatory audit requirements, cost at scale, vendor lock-in. Your most valuable workloads can’t leave your infrastructure.

Benchmarks can’t tell the difference

The models that ace benchmarks are the least coherent internally (r = −0.932). You need a better measurement—and a better solution.

The Solution

01

We measure cognitive coherence

Our LOC framework measures 13 cognitive functions in any LLM’s hidden states. Not what it knows—how well it uses what it knows.

02

We train for coherence

Our training method directly optimizes how the model deploys its existing knowledge. No new data. No fine-tuning on your proprietary information.

03

You get a drop-in adapter

A LoRA adapter that loads into your existing vLLM/TGI/SGLang stack. Zero code changes. Same latency. Coherent output.

Results at a Glance

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.

Who It's For

Financial Services

Validated

Risk memos, regulatory reporting, compliance, fraud investigation

Healthcare

Coming soon

Clinical notes, diagnostic reports, care coordination

Legal

Coming soon

Contract review, regulatory filings, case summaries

Coding

Validated

Production-quality code, agentic workflows, code review

Enterprise Custom

Need a coherence adapter for your specific domain? We build it in 4 weeks.

Built on Peer-Reviewed Research

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.

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.

Paper 2: Intelligence Is Coherence

How coherence-based training transforms open-source LLMs from benchmark performers into domain-ready production systems.

Read the Research →

Ready to make your open-source AI production-ready?

Or try the free General Coherence Adapter.