The final frontier of
is at the edge.

Raekolabs builds knowledge graphs for contextualizing AI-powered edge analytics and data fabric solutions.

The missing piece to edge analytics

is contextual graphs.

Edge analytics needs context and semantics without leaving the edge.

(New Release) Introducing KogniGraph ™ (beta), a semantic graph engine for container-based environments.

Our cognitive graphs enable

real-time activity recognition

for behavior analysis.

We build cognitive graph engines for IoT and cyber-physical systems that enable device-level behavior recognition in complex environments. We use a number of computational methods to protect privacy (e.g., object blurring and dimensionality reduction).

Enforce compliance with

smart workplace safety systems

using regulatory graphs.

Edge analytics needs context and semantics without leaving the edge.

We enhance IoT analytics with

edge-based knowledge graphs

for machine and device insights.

We build scalable edge-based knowledge graph engines to analyze and understand large machine and sensor data sets in real time.

Introducing KogniGraph ™ for

sensor fusion systems

to enable the military warfighter and autonomous fleet.

Our KogniGraph ™ engine can consume large data sets from warfighter wearables while fusing data from various fleet asset modalities.