Bringing Generative AI
Within Reach
Custom AI Agents in 3 Clicks
Running On DF11
DF11: The World's Most Optimized Format for LLMs
Reduced Memory Footprint by 30%
The first mathematically proven method to reduce memory requirements for LLMs without any accuracy loss. Run bigger models on smaller hardware with perfect fidelity.
30%
Memory Savings
100%
Standard Format
70%
DF11 Format
Memory Comparison
Standard Format
100%
DF11 Format
70%
30% Memory Savings
The Future of Model Efficiency
We believe DF11 marks the beginning of a new era in model memory efficiency—where developers no longer have to choose between size and quality. This isn't a compromise. It's a breakthrough, and we're excited to help the AI community and see the adoption of DF11, feel free to try it to try it out by yourself
Get Started with DF11FineTune OpenSource LLMs
For your agent tasks in hours with no PhDs
Simplified Process: No complex setup required
Our platform simplifies the fine-tuning process so you can focus on results rather than complex setup procedures.
Rapid Deployment
From data to production in hours, enabling you to quickly deploy customized models that meet your specific needs.
IMPLEMENTATION SCENARIOS
Perfect For Every Use Case
Solo Developers
(Democratized AI)
Run larger models on limited hardware, trading a bit oflatency for a big memory win
Run 70B parameter models on consumer GPUs
Enterprise Deployment
(Cost Efficiency)
Cut memory use and bandwidth while preserving full fidelity and throughput.
30% reduction in GPU memory requirements
Edge Devices
(Democratized AI)
Enable advanced AI capabilities on resource-constrained devices.
Run 70B parameter models on consumer GPUs
Cloud Infrastructure
(Optimized ROI)
Reduce costs and increase model capacity in cloud environments.
30% reduction in GPU instance costs.
Who are we?
We're a frontier AI agent research lab firmly focused on advancing agent technology beyond current limitations. We believe that the current approaches most companies are taking with prompt engineering and RAG are ultimately a dead end for creating truly effective AI agents.
Our team brings together top researchers in model reinforcement learning, fine-tuning, synthetic data generation, performance optimization, and distributed systems. We're uniquely positioned at the intersection of cutting-edge research and practical enterprise applications.
Contact Us
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