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Comparison-Based LLMs for today’s accelerators.

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Our product

A new compute path for the models you already run.

  1. Converts Pre-Trained LLMs

    A one-time conversion that completes quickly for supported models.

  2. Supports Today’s Hardware

    Demonstrated on NVIDIA GPUs, with broader accelerator support planned.

  3. Outperforms Industry Alternatives

    Benchmarked against a range of established model-compression methods, with CB LLM leading the measured quality-throughput tradeoff.

How it works

A direct path from supported LLMs to CB LLMs.

RooGenAI uses a protected, one-time conversion process that completes quickly for supported models and preserves the familiar model input and output interface.

Conceptual CB LLM conversion
Supported LLM
CB LLM

Our moat is years of comparison-compute R&D, from algorithms to runtime.

  1. Comparison Algorithms

  2. Patent & IP Position

  3. Conversion Methods

  4. Comparison Runtime

  5. Systems Knowledge

  6. Full-Stack Alignment

Roadmap

Software first. Broader compute next.Silicon ahead.

TODAY

Prove the architecture in software.

  • Comparison-based software demonstrated on NVIDIA GPUs
  • Dedicated runtime for converted CB LLMs
  • Serialized accelerator deployment workflow
NEXT

Expand production capability.

  • Larger-model support
  • Production-ready runtime
  • Datacenter validation
  • Broader accelerator support
LONG TERM

Build around comparison compute.

  • Models trained natively with comparison architecture
  • Purpose-built RooGenAI silicon
  • Integrated software-to-silicon co-design

Ready to evaluate RooGenAI?

Explore a Pilot