AI Model Acceleration
Cut Cost. Run Faster. Improve Accuracy.
We help companies optimize their AI models by applying cutting-edge techniques in model compression, fine-tuning, and inference optimization. Whether you're running open models or transitioning away from API-based models, we ensure that your AI pipeline is faster, leaner, and more cost-efficient—without compromising performance.
Risk Free Cost Savings
Already fine-tuning your model? LogTwo makes it easy to compress your model for faster, more efficient performance, and reduce your inference costs — all without sacrificing accuracy.
How it works
- Provide access to your model and training data — LogTwo handles the rest.
- We’ll fine-tune a compressed version of your model using OptiML.
- We’ll validate that the compressed model matches your original outputs using multiple methods: JS divergence, F1 score, LLM as a Judge, and other relevant performance metrics such as BLEU, ROUGE, and precision/recall.
- We’ll show you the cost savings and efficiency improvements.
If you’re satisfied with the results, you can deploy the optimized model and start saving immediately. If not, there’s no cost to you.
We Deliver Real AI and Real ROI
Achieving 25x Throughput Gains with Financial Signal Detection
Learn how LogTwo helped a high-frequency trading firm optimize their LLaMA 3.2 8B model, reducing memory usage by 10x and achieving a 25x throughput improvement.
Deploying LLaMA on Nvidia Orin for In-Car Voice Commands
A leading automotive manufacturer aimed to upgrade its in-car voice command system for real-time interactions across navigation, climate control, entertainment, and diagnostics.
Optimizing Mistral Large 2 with OptiML for Compliance Analysis
A global professional services firm specializing in risk and regulatory compliance sought to enhance its compliance processes using large language models (LLMs).
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