Product

    Endee Edge

    A full vector database that runs entirely on-device. Sub-10ms queries. No cloud. No compromises. Proven on real hardware.

    Read the docs Get a demo
    < 10ms latencyWorks offlineMinimal memory footprintARM & x86

    < 10 ms

    Query latency

    99%+

    Accuracy

    Highest

    Throughput

    Int8e 4×

    Compression

    Not required

    Network

    Minimal

    Infrastructure

    Mission drone with on-device Endee Edge vector searchA quadcopter drone performs terrain mapping and object detection using Endee Edge running fully on-device. A HUD shows similarity scoring at 4ms latency.ENDEE EDGEObject DetectedSimilarity:98.7%Latency:4ms
    Industrial robot arm with Endee Edge vision moduleA 4-segment robot arm with an on-board camera module uses Endee Edge to run real-time visual similarity search on the factory floor, identifying parts in under 10ms.Part A99.1%Part BPart Cembedding matchEndee Edge<10ms · on-device

    Capabilities

    Built for the edge, not ported from the cloud

    Ultra-Low Latency

    Sub-10ms per query on-device. Real-time vector search without a network round-trip. Endee Edge keeps search local so your application stays responsive even with zero connectivity.

    Fully Offline

    No cloud dependency. Endee Edge works in air-gapped, remote, and intermittently connected environments. Deploy once and run indefinitely without internet access.

    Low Memory Footprint

    Handle 10M+ vectors on 8GB RAM. Our Int8e quantization reduces vector size by 4x while preserving recall accuracy. Ships comfortably on constrained devices with a minimal memory footprint.

    Battery Efficient

    Optimized for ultra-low power consumption. Endee Edge minimizes CPU wake cycles and memory thrashing to extend battery life on mobile and IoT devices.

    Cross-Architecture

    Native binaries for ARM64, ARMv7, x86_64, and Android (AArch64). Single codebase runs on Raspberry Pi, NVIDIA Jetson, modern smartphones, and industrial IoT hardware.

    On-Device Privacy

    All data stays on device. No embeddings or vectors ever leave the hardware. Ideal for privacy-sensitive applications where data must not be transmitted to the cloud.

    Supported Hardware

    Tested on real devices

    Not a simulation. Endee Edge runs in production on these platforms today.

    Raspberry Pi

    ARM64 & ARMv7, tested on Pi 4 and Pi 5

    NVIDIA Jetson

    Jetson Nano, Orin, and Xavier

    Android

    AArch64, API level 26+

    Linux ARM

    Industrial SBCs and IoT gateways

    x86_64 Linux

    Industrial PCs and edge servers

    macOS (Apple Silicon)

    M1/M2/M3 development environments

    Use Cases

    What teams build with Endee Edge

    Visual inspection on the factory floor

    Match defective parts against a reference library entirely on the device, no cloud latency, no bandwidth cost.

    Smart retail with offline-first search

    Product visual search and recommendations that work even when the store network is down.

    Medical imaging at the point of care

    Run AI-powered image similarity on-device in clinics and field hospitals with no internet connectivity.

    Autonomous vehicle perception

    Real-time vector matching for ADAS systems where cloud latency is unacceptable and data must stay on-board.

    Bring AI to the edge

    Talk to our team about deploying Endee Edge in your hardware environment. We support custom integrations for industrial and embedded systems.

    Contact us Read the docs