We build self-evolving cognitive systems that run entirely offline on edge hardware.
No cloud. No API calls. No data leaves the device.
Our research focuses on belief ecologies, multi-agent orchestration, and verifiable reasoning pipelines --
pushing past the limits of standard LLMs toward AI that actually reasons, adapts, and remembers.
Founded by Bradley R. Kinnard · Lakewood, Colorado · Qualified Federal Contractor
Belief Ecologies ABES treats beliefs as living organisms that decay, conflict, and evolve.
Multi-Agent Swarms SNRE and dependency-aware parallel execution on local hardware.
Verifiable CAG/RAG RL Fusion with entropy scoring and contradiction auditing. Surfaces uncertainty.
Adversarial Evolution AASMS evolves code through Red/Blue team dynamics with cryptographic safety guards.
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100% Offline Operation Sub-millisecond inference on consumer GPUs (e.g., RTX 5070). Full privacy and resilience without network dependencies. |
Verifiable Security Contradiction detection and entropy scoring reduce hallucinations to 0% across 3,000+ test iterations. |
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Evolutionary Adaptation Belief ecologies mutate and evolve organically, addressing catastrophic forgetting in long-running autonomous agents. |
Cognitive AI Research Novel architectures for memory, reasoning, and self-improvement that go beyond prompt-and-response patterns. |
Novel paradigms for offline cognitive AI, built and tested in the open. Each prototype links to its own repo.
AASMS · Adversarial Architectural Self-Modification System 
A local-first AI system that evolves its own codebase through adversarial Red/Blue team dynamics. Blue Team proposes improvements as unified diffs. Red Team generates exploit tests. Only survivors that pass verification gates get committed.
| Metric | Value |
|---|---|
| Evolution Cycles | 6 (zero errors) |
| Proposals Applied | 24 (post-verification) |
| Test Pass Rate | 100% required for commit |
| Isolation | Docker sandbox + SHA-256 safety guards |
RLFusion Orchestrator · Local-first Cognitive Engine 
4 retrieval paths (RAG+CSWR, CAG, Graph, Web). Offline CQL policy adapts routing weights. Runs on Llama3.1 8B via Ollama.
| Metric | Value |
|---|---|
| Test Coverage | 6 suites / 3,000 tests |
| Pass Rate | 100% |
| Latency | ~10s |
Shadow Ecology · Self-Evolving Cognitive Architecture 
Contradictions create tension. Tension mutates personality across 8 dimensions.
| Component | Detail |
|---|---|
| Genome | 512-float vector |
| NLI | DeBERTa |
| Index | FAISS HNSW |
ABES · Adaptive Belief Ecology System 
Cognitively realistic memory system where beliefs are living entities. They decay, contradict, mutate, and cluster around concepts.
| Metric | Value |
|---|---|
| Tests Passing | 672 |
| Agent Pipeline | 14 phases |
| Interface | Chatbot + RL layer |
Ironroot · Write-Once Memory Ecology
Agents prove their work before promotion. Failures trigger containment and self-healing.
| Metric | Value |
|---|---|
| Tests | 140 |
| Coverage | 51%+ |
| Layers | 5 capability tiers |
Sentinel OS · Offline Cognitive Operating System 
Offline-first cognitive OS for air-gapped and network-denied environments. Architecture submitted to NSF/IQT.
SNRE · Swarm Neural Refactoring Engine
Multi-agent refactoring engine with AI consensus for codebase evolution.
| Problem | Our Answer |
|---|---|
| Cloud AI is brittle and breaks when the network does. | Offline systems with mutation and verification ensure resilience. 100% pass rates on contradiction detection in prototype testing. |
| Every API call is a data exfiltration risk. | Local hardware execution. No data leaves the device. Ever. |
| Standard LLMs have no real memory or reasoning. They hallucinate and forget. | Belief ecologies, contradiction auditors, and entropy scoring give our systems actual cognitive structure. 0% hallucination rates in controlled runs. |
Q1 2026 AASMS long-run evolution studies and external validation
Q1 2026 Ironroot capability layer expansion and benchmark suite
Q1 2026 Full ABES implementation -- all 15 agents and RL training loop
Q1 2026 Shadow Ecology trained LoRA adapters for stronger phenotype expression
Q2 2026 Sentinel OS Core first working prototype with isolated container testing
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Government & Defense TRL 4-6 cognitive architectures |
Commercial R&D License our tech or commission |
Investment Pre-seed / research stage |
General Inquiries Technical or business |
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