Ulysses brings real-time sensory AI to the domains where it matters most. No GPUs. No retraining. On the hardware you already own.
Ulysses doesn't replace your AI — it gives your AI eyes. It sits upstream of your existing stack and feeds real-time intelligence to LLMs, ML pipelines, and domain models. Think of it as the sensory front-end for everything you've already built.
Markets don't wait for batch processing. Ulysses detects regime shifts in streaming financial data in real time — using Energy-Based Models that run on the Xeon infrastructure your firm already owns. No GPU procurement delays. No retraining. Just intelligence at the speed of markets.
In contested environments, intelligence can't depend on cloud connectivity or GPU availability. Ulysses processes RF signals and streaming sensor data at the edge — on the Xeon hardware already deployed in theater. Zero GPU dependency means lower SWaP and real-time threat assessment where it matters.
Patient monitoring generates massive volumes of streaming sensor data — vitals, waveforms, device telemetry — most of which is never analyzed in real time. Ulysses sits upstream of clinical ML models as a sensory front-end, processing physical-world data continuously and surfacing anomalies before they become events.
Every vertical benefits from the same foundational architecture. These capabilities span all deployments.
Continuous monitoring of streaming data with sub-10ns detection latency. Energy-Based Models identify deviations from learned patterns without explicit anomaly labels.
Process high-frequency time-series data in continuous streams. No batching, no windowing artifacts. Native support for multi-dimensional sensor feeds.
Full inference capability on edge hardware without cloud dependency. Designed for disconnected, intermittent, and low-bandwidth environments.
Direct memory access inference pipeline eliminates data serialization overhead. No copying between CPU and accelerator — because there is no accelerator.
Optimized for Intel Xeon with AMX instructions. Zero GPU dependency means deployment on existing infrastructure with no procurement cycle and no specialized hardware.
Sits in front of LLMs, ML pipelines, and domain-specific models as a sensory pre-processor. Enriches downstream AI with real-time physical-world context.
Every deployment is different. Let's explore how Ulysses maps to your data, your infrastructure, and your mission.
Start the Conversation