HyperStream™ – Intelligent Data Pipelines for AI

Streaming data the way AI thinks — real-time, contextual, and always ready.

AI doesn’t wait. Neither should your data. HyperStream delivers a unified, intelligent pipeline architecture to move data across edge, cloud, and GPU-native systems with maximum performance and zero-touch orchestration.

The Problem with AI Data Pipelines.

🧊 Latency Bottlenecks — Data doesn’t arrive fast enough for real-time inference

🧱 Brittle ETL Workflows — Batch jobs and static schedules slow down AI agility

🗂️ Storage Mismatch — Legacy storage systems aren’t built for GPU bursts

🌐 Edge Disconnection — Data from the edge often arrives late or not at all

🧑‍🔧 Manual Orchestration — Engineers manage pipelines instead of optimizing models

AI-native systems don’t just need more data. They need smarter, faster, intent-aware data pipelines.

The HyperStream™ Architecture

Fast. Adaptive. AI-Aware.

StreamIQ

Real-time streaming engine with intent-aware data DAGs and orchestration rules

PulseCache

Memory-optimized caching and tiered storage fabric for latency-sensitive pipelines

EdgeFlow

Lightweight edge-native runtime for local inference and smart preprocessing

InferSync

Ultra-low-latency pipeline for inference delivery and real-time model data syncing

DataMeshIO

Adaptive routing and transport fabric with AI-aware flow control

AIDataOS

Unified control and policy layer for managing distributed AI data pipelines

  • Data Acceleration & Storage Optimization

    ⚡ Use tiering, memory-mapped caching, and adaptive prefetching to reduce I/O bottlenecks.

  • Edge AI & Decentralized Processing

    🌍 Push inference and preprocessing closer to the data source — at the edge.

  • AI-Driven Orchestration

    🧠 Let AI determine what data moves, when, and how — tuned for freshness, context, and workload intent.