The most efficientfoundation models.
Our proprietary architecture delivers state-of-the-art performance with 10× less compute. Purpose-built for text, audio, video, and physical simulation.
Foundation models for every modality.
State-of-the-art performance at a fraction of the compute. Deployable anywhere you need them.
Text Models
Production ReadyHigh-performance language models with unlimited context windows. Optimized for reasoning, generation, and understanding.
Audio Models
Coming SoonEnd-to-end audio foundation models for speech and sound. Designed for low latency, real-time applications.
Vision Models
Coming SoonMultimodal models for image and video understanding. Efficient deployment on edge and cloud.
Simulation Models
ResearchFoundation models for physical simulation and scientific computing. High fidelity with real-time performance.
Need a custom model? We train bespoke models on your data.
Talk to SalesState-of-the-art at every scale.
FDRA models consistently outperform comparable architectures across standard benchmarks while using a fraction of the compute and memory.
Benchmark Comparison
FDRA-7B vs. comparable 7B models
| Benchmark | FDRA | Baseline |
|---|---|---|
| MMLU (5-shot) | 72.4 | 68.1 |
| GSM8K (0-shot) | 58.3 | 45.2 |
| HumanEval | 48.2 | 41.5 |
| IFEval | 74.9 | 65.3 |
* Baseline represents average of comparable 7B parameter models
A new architecture for AI.
Traditional transformers hit fundamental limits in memory and compute that scale quadratically with context length. FDRA is a ground-up redesign that achieves constant memory usage, enabling models that reason over unlimited context.
Our team has developed a proprietary architecture based on novel mathematical foundations. The result: state-of-the-art performance with dramatically lower compute requirements. We're building the infrastructure for the next generation of AI.
Get started with FDRA
Ready to build with the most efficient foundation models? Talk to our team.