Extreme Scale Solutions builds and deploys advanced AI/ML systems where real constraints dominate: latency, cost, security, privacy, auditability, and operational robustness. From FPGA inference at the edge to exabyte-scale graph optimization in supercomputers, we deliver under real constraints.
Our capabilities span the full stack of applied AI/ML from hardware-level inference optimization to enterprise knowledge systems. Each discipline is proven in real deployments.
FPGA and embedded NPU deployments where determinism and efficiency matter. Quantization, memory planning, and throughput tuning for real-time constraints.
RAG and Graph-RAG systems that convert long-tail enterprise knowledge into cited answers. Vision transformers, chunking strategies, and provenance tracking.
Real-time sensing and interaction: from YOLO object detection on edge devices to target-speaker extraction, beamforming, and acoustic anomaly detection.
Homomorphic Encryption, Post-Quantum Cryptography, and device trust primitives. Custom hardware acceleration for encrypted ML inference with zero data exposure.
Fourier Neural Operators, physics-informed neural networks, and distributed training at DOE supercomputer scale. Rigorous profiling, reproducible benchmarking, and measurable acceleration across chemistry, seismic imaging, and multigrid solvers.
Each project solves a real deployment problem: from DOE supercomputer scale to embedded edge devices. Click any card to learn more.
DOE supercomputer scale, 1000+ GPUs. Fourier Neural Operators and physics-informed networks for surrogate modeling.
ViT pipelines for manuals, images, charts. Cited answers with traceability from enterprise knowledge bases.
Concept mapping and semantic routing on custom FPGA hardware. Classified vs. unclassified domain separation.
Real-time object detection with annotation pipelines. Cross-domain image analysis on custom FPGA accelerators.
Driver awareness and real-time impression counting on embedded ARM Neural Processing Units.
Network intrusion detection with few-shot adaptation. MAML-based rapid learning for evolving threat landscapes.
Aho-Corasick pattern matching combined with embedding-based filtering on FPGA. Cascaded content analysis.
AGILE program. Exabyte-scale graph entity resolution and ANN indexing for massive relationship datasets.
Vertex classification, link prediction, and multi-hop reasoning. Graph-augmented retrieval and decision support.
Automated extraction and validation of contract terms. Straight-through processing with traceable exception handling.
Extraction and cross-validation of purchase orders against contracts. Automated discrepancy detection.
Beamforming and speech separation for isolating specific speakers in noisy, multi-talker environments.
Sensor-driven acoustic anomaly detection using CNNs over spectrograms. Real-time cavitation severity classification.
Performance-disciplined distributed training and inference. Systematic profiling and optimization across clusters.
Encrypted ML inference with custom hardware acceleration. Post-Quantum Cryptography designed for post-quantum threat models.
AI-driven patient intake and triage routing with full EMR system integration. Clinical workflow optimization.
Multi-user shared documents and expertise graphs. Collaborative knowledge building with AI assistance.
PUF-based device trust and recovery primitives. Hardware-rooted identity for secure authentication.
Performance engineering for chemistry, multigrid solvers, and seismic imaging. Reproducible benchmarking at scale.
Our projects span hardware, cloud, edge, and enterprise environments. Deep technical capability applied across verticals.
Whether you’re exploring an AI/ML initiative or need a technical partner for an existing program, we’d like to hear from you.