Probabilistic AI
Our stack delivers real-time Bayesian inference at unprecedented scale. Evolved from our RxInfer R&D, it updates beliefs continuously—adapting when reality proves the model wrong.
Optimized for maximum throughput on CPU, GPU, and TPU.
The benchmark below compares LazyInfer, RxInfer.jl, NumPyro, and PyMC on a Linear Dynamical System (T=200, Smoothing). LazyInfer achieves 32,859x faster inference than PyMC.
We acknowledge that benchmarks can be selectively constructed to favor particular solutions. We chose the Linear Dynamical System because it is a well-understood, canonical model in state-space inference with known analytical solutions, making it a fair and verifiable test case. Our intent is not to claim universal superiority, but to demonstrate that our proprietary solution, built on years of research and development, can achieve extreme performance when needed. All methods were executed on a MacBook without GPU acceleration. The takeaway: our team can make Bayesian inference as fast as the application demands.
Combines the latest advancements in the field with GPU acceleration
Process data with minimal latency for time-critical applications
Optimized CPU and memory utilization reduces operational costs
Our engine provides a probabilistic layer for AI workflows—capturing uncertainty, supporting streaming updates, and enabling structured reasoning alongside conventional methods.
| Capability | Fast Probabilistic Inference | Conventional ML |
|---|---|---|
| Inference Paradigm | Recursive belief updating | Static execution |
| Adaptation | Real-time parameter updates | Frozen weights |
| Uncertainty | Native & calibrated | Implicit or brittle |
| Performance | 10x faster recursive updates | Batch-optimized only |
Uses probabilistic models to express confidence and robustness in complex environments.
API and abstractions that help teams concentrate on model design and inference logic.
Potential to reduce compute usage depending on workload and modeling choices.
Explore advanced models and applications built with our engine, showcasing its versatility.
Stay ahead of evolving conditions with our adaptive learning system. Models continuously update to ensure predictions maintain accuracy as real-world situations change.
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Let AI design your neural networks. Our automated search technology builds optimized models specifically tailored to your unique data patterns and business requirements.
Tackle complex differential equations with confidence. Our Bayesian approach delivers not just solutions, but comprehensive uncertainty quantification for every calculation.
Master dynamic systems with our sophisticated probabilistic framework. Generate real-time insights and predictions for complex, continuously evolving scenarios.
Dive deeper into the capabilities of our engine and see how it can revolutionize your data-driven applications.
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