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CHARLIE LABS

Pushing AI Beyond Boundaries

Our research lab develops proprietary small-scale AI technologies that deliver enterprise-grade performance with unprecedented efficiency.

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PROPRIETARY TECHNOLOGY

Small Models, Massive Impact

Our breakthrough technology enables AI systems that are 10-100x smaller than conventional models while maintaining comparable performance.

95% Smaller

Model size reduction compared to large-scale alternatives

10x Faster

Inference speed improvement on equivalent hardware

Local Deployment

Run anywhere - from cloud to edge devices to phones

RESEARCH FOCUS

Advancing the Future of AI

Small & Micro Language Models

We're pioneering techniques to compress language models to a fraction of their original size while preserving their capabilities.

  • Knowledge distillation from large to micro models
  • Quantization and pruning techniques for model compression
  • Domain-specific optimization for enterprise use cases
REAL-WORLD IMPACT

Transforming Industries with Small AI

Enterprise Applications

Our small AI technologies enable enterprises to deploy powerful AI systems where traditional models can't reach.

  • On-premise deployment for sensitive data
  • Edge computing with full AI capabilities
  • Reduced infrastructure costs

Competitive Advantages

Our proprietary technology offers unique advantages that traditional AI approaches can't match.

  • Unique IP in model compression techniques
  • Patented cognitive reasoning frameworks
  • Industry-specific optimization methods
RESEARCH PUBLICATIONS

Our Latest Research

Review of Case-Based Reasoning for LLM Agents

Hatalis, K., Christou, D., & Kondapalli, V. (2025)

arXiv:2504.06943

A Case-based Reasoning Approach to Dynamic Few-Shot Prompting

Dannenhauer, D., Dannenhauer, Z., Christou, D., & Hatalis, K. (2024)

ICML 2024 Workshop on LLMs and Cognition

ChatGPT for marketers: Limitations and mitigations

Christou, D., Hatalis, K., Staton, M. G., & Frechette, M. (2024)

Journal of Digital & Social Media Marketing

Memory matters: The need to improve long-term memory in llm-agents

Hatalis, K., Christou, D., Myers, J., et al. (2023)

Proceedings of the AAAI Symposium Series
RESEARCH COLLABORATIONS

Partner with Our Research Team

We're actively seeking research collaborations in small model architectures, case-based reasoning, and cognitive AI systems. Our team welcomes partnerships with academic institutions, industry labs, and individual researchers.

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Advancing the Future of AI


Partner with Charlie Labs

Access our proprietary small AI technology to transform your enterprise.

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