Vector search that lives on the device.
Run a full Endee vector database directly on ARM, x86 and Android edge hardware. Offline-capable, low memory, battery-friendly, and proven on Raspberry Pi, NVIDIA Jetson and Android devices.
< 10 ms
Query latency
99%+
Accuracy
Int8e 4×
Compression
Minimal
Infrastructure
Not required
Network
Highest
Throughput
Capabilities
Vector search built for the edge
Sub-10ms Query Latency
Real-time vector search on-device. Without the network round-trip, Endee Edge delivers under 10ms per query even on constrained hardware, enabling inline AI decisions at the sensor or camera.
Offline-First Architecture
Deploy once, run indefinitely. Endee Edge has zero runtime dependencies, no cloud API calls, no license checks, no telemetry. Works in tunnels, remote sites, and disconnected manufacturing environments.
Optimized for Low Power
Endee Edge minimizes CPU wake cycles, cache thrashing, and memory pressure to preserve battery life. Run continuous vector matching on mobile devices without draining the battery.
Cross-Architecture Binaries
Native builds for ARM64, ARMv7, x86_64, and Android AArch64. No emulation or cross-compilation overhead. The same API works across Raspberry Pi, NVIDIA Jetson, Android smartphones, and industrial edge servers.
On-Device Privacy
Data never leaves the device. Embeddings, vectors, and search results stay local, critical for applications in healthcare, defense, and consumer privacy. No cloud provider can access your inference data.
Int8e Quantization
Fit 10M+ vectors on 8GB RAM using Endee's proprietary Int8e quantization, a 4x size reduction with minimal accuracy loss. Serve large-scale vector search on devices that couldn't otherwise accommodate it.
Supported Hardware