SYSTEM STATUS: ONLINE

Architecting
Machine Reasoning

R&D operation targeting the structural logic of Large Language Models. Engineering new modalities in reasoning and file-system intelligence.

SPEC_SHEET_v0.1
CORE_ASSEMBLY NEURAL_ARCH_X64
LATENCY 12ms
THROUGHPUT 840 TFLOPs

> Initializing MimirCore...

> Loading Weights [████████████████████] 100%

> System Ready.

Research Focus

Structural Logic

Deconstructing the neural pathways of modern transformers to optimize reasoning pathways.

Contextual Filesystems

Bridging the gap between static data and dynamic intelligence within local environments.

Modal Reasoning

Pushing beyond standard token prediction into multi-modal synthesis and execution.

Our Models

MimirCore-v1

Advanced reasoning engine optimized for complex problem solving and logical inference.

Reasoning LLM Transformer
View Technical Specs →

FileSystemAI

Context-aware file system intelligence for autonomous data organization and retrieval.

File System Contextual AI Automation
View Technical Specs →

Research Labs

Neural Architecture Lab

Exploring next-generation neural network designs for improved reasoning capabilities.

Contextual Systems Lab

Developing AI systems that understand and operate within complex contextual environments.

Modal Reasoning Lab

Pushing the boundaries of multi-modal AI reasoning and synthesis.

Our Team

Dr. Alex Morgan

Chief Research Officer

Dr. Sam Chen

Head of Neural Architecture

Jordan Williams

Lead AI Engineer

Taylor Kim

Research Scientist

Get In Touch

Contact Information

Email

contact@mimirlabs.ai

Research Collaboration

research@mimirlabs.ai

Location

San Francisco, CA