Enhanced LLM performance
through multi-agent collaboration

Halo's revolutionary multi-agent layer enhances base LLMs to solve complex problems ~70% more accurately than standalone model deployments

77%
Win rate against GPT-5*
61%
Win rate against Claude Sonnet 4.0*
35%
Improvement across base LLMs*

How Halo Enhances LLM Performance

Our breakthrough multi-agent layer sits on top of your base LLM, improving its memory, reasoning, and generation capabilities.

Hallucinations Suppressed

Halo's multi-agent collaboration ensures accurate and reliable responses by verifying and correcting information.

Enhanced Attention

Halo's agents share context and focus on specific tasks, allowing them to work together to solve complex problems.

Dynamic Framework

Halo's dynamic framework allows for flexible and adaptive responses, ensuring that the most appropriate agent is used for each task.

Performance Benchmarks

Comprehensive testing across BIG-bench, an industry-standard benchmark suite by Google, demonstrates consistent superiority over single-model approaches.

Reproducible Benchmark Methodology

Halo vs CS 4.0

+41%

Creativity / Abstration

+61%

Memory / Recall

+49%

Logical Reasoning

+101%

Halo vs GPT-5

+29%

Social Intelligence

+40%

Linguistic Intelligence

+29%

Dimensional Reasoning

+55%

Halo vs GPT-4o

+43%

Mathematical Reasoning

+44%

Translation / Interpretation

+51%

Disambiuation

+42%

Powered by Halo

Real-world applications demonstrating the practical impact of our LLM enhancement technology.

Hana

AI Concierge

All-purpose, customizable AI concierge that can provide recommendations from any topic or category.

Catalogs
Recommendations
Learn More →

Goguma

Focus Groups

Fully customizable synthetic audience personas for market research and product development.

Personas
Audience Segments
Learn More →

Ready to Enhance Your LLM Performance?

Join leading organizations leveraging Halo to unlock superior AI capabilities.