CASE STUDIES

See how our privacy-first agentic framework uses local LLMs and vector search to unify documents, code and media.

Discover how our modular generative‑media framework integrates image, video and avatar models for rapid content creation.

Explore our news‑agent, which ingests multi-source feeds and produces timestamped briefs for early signal detection.

Learn how we built a real‑time voice assistant with persistent user state, safe tool access and interruptible dialogue.

Read how our streaming agent combines speech recognition, local LLMs and avatar animation for VTuber hosting.

See how our VideoGen Agent decomposes scripts into scenes, orchestrates text‑to‑image/video models.

See how our secure RAG framework unifies documents, repositories and media into privacy-preserving knowledge workflows.

Discover how our ML pipeline models device event logs to reproduce severity-1 crashes and reduce mean time to resolution.

Explore how our telemetry pipeline separates application and OS performance metrics to eliminate guesswork after OTA updates.

Learn how our Bayesian optimization engine automates OS tuning to accelerate launch time and reduce manual experimentation.

See how our automated log-pull system captures critical device events in real time to speed root-cause analysis.

Discover how our large-scale telemetry clustering identified hardware-software correlations and rescued a device launch.

Explore how we redesigned legacy drivers and ported DPDK to proprietary hardware to increase throughput and reliability.

Learn how our hybrid deep-learning models identified rare subatomic signatures and advanced national-lab research initiatives.

See how our FPGA emulation and automated validation system detects memory corruption before experimental data is lost.

Discover how our embedded FPGA-based DAQ architecture replaced costly VME crates while improving reliability and control.