What we do
We optimize AI inference so businesses can serve more users and process longer documents on the GPUs they already own.
More AI services
with the same GPU
Nune AI develops inference optimization software that lowers the cost of running generative AI on a company’s own infrastructure.
Make enterprise AI more efficient
Why it matters
Network isolation and security rules often prevent the use of external cloud AI. As usage grows, GPU costs rise quickly, making wider deployment difficult.
What sets us apart
We reduce resource use while maintaining answer quality and response speed. We do not trade quality for better-looking metrics.
DeepTailor
DeepTailor
DeepTailor is an inference optimization platform that helps enterprises run generative AI on their own servers with fewer resources.
Component 1
Model compression
Shrinks the resources a model occupies while keeping the performance your work needs.
Component 2
Domain specialization
Tunes the model to answer more accurately for your business and documents.
Component 3
Memory optimization
Cuts the GPU memory use that surges as users and conversations grow.
Component 4
Internal knowledge retrieval
Adds retrieval so answers are grounded in your internal documents and policies.
We measure impact on the same model, with the same answer quality and the same response speed. Only results that meet all three conditions are presented as gains. Specific figures are measured in your environment and delivered as a report.
Delivered to run inside your internal network. Your data never leaves it.
Technology rooted in current AI research
Deep research, real-world technology
Nune AI’s technology began with industry–academia joint research with POSTECH. Building on research validated at international conferences, we develop technology that businesses can put to use right away on their own infrastructure.
Industry–academia joint research lab · CELL @ POSTECHOngoing industry–academia collaboration
We have conducted joint research with a POSTECH research team since 2022 and signed a long-term industry–academia research agreement in 2026. This lets us bring fast-moving advances in AI into our products quickly.
Research tied to our product
We research lightweighting and quantization of large language models, memory optimization during inference, and efficient AI system design. The core components of DeepTailor grew out of this research.
Published at top international venues
The research behind our technology has been published at top international conferences spanning AI and computer systems, including ICML, ICLR, EMNLP, ISCA, ASPLOS, EuroSys and DAC.
Implementation
Validated directly
in your environment
- 01
Inquiry
Tell us about your environment and goals, and our team will get in touch.
Request technical validation - 02
Non-disclosure agreement
Detailed materials and technical briefings follow once an NDA is signed.
- 03
Environment review
We review your models, hardware and business scenarios together.
- 04
Validation
We test directly on your hardware. Your data never leaves your premises.
- 05
Results report
You receive a report comparing throughput, answer quality and cost impact under identical conditions.
- 06
Deployment agreement
Based on the results, we agree on scope and supply terms.