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Case studies

HuBe.ai application deployed on Oracle Cloud Infrastructure yields 75% annual TCO savings

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January 25, 2024 Author -

Authors: This comprehensive technical case study is authored by Kellsey Ruppel, principal product marketing director at Oracle, and Joe Winston, AI Cloud sales specialist at Oracle with contributions from Shivakumar Narayanan, VP & GM, Media and Entertainment BU at MulticoreWare.

Summary:

MulticoreWare’s HuBe.ai platform uses advanced deep learning technology to recognize human behavioral cues. This Human Behavior Intelligence (HBI) platform is designed to aid companies in developing applications that monitor human behavior and enhance existing solutions with similar capabilities.

To achieve this, MulticoreWare chose Oracle Cloud Infrastructure (OCI) for hosting HuBe.ai. The migration to OCI had specific goals:

  1. Improve Performance: Enhance the application’s performance to deliver better productivity and output to customers.
  2. Seamless Migration: Move the entire product setup from MulticoreWare’s existing cloud provider to OCI without causing any negative impact on product performance and service.
  3. Cost Efficiency: Reduce overall product and maintenance service costs by leveraging OCI cloud services.

Migrating HuBe.ai to Oracle Cloud Infrastructure (OCI) brought significant cost savings, improved performance, and streamlined support, empowering MulticoreWare to work more efficiently and make informed decisions about customer experiences.

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May 8 2026

Optimizing Android Application Performance for Remote GPU Rendering Platforms

Customer
The customer is a technology company specializing in GPU virtualization middleware that enables discrete processing units to be aggregated into shared resource pools and accessed remotely across conventional network infrastructure.

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Agentic AI for RAN Observability, Explainability and Orchestration

Customer A global telecommunications and network infrastructure company that provides advanced software, hardware, and services for building, managing, and optimizing large-scale telecom and enterprise networks. Its solutions leverage AI, automation, and end-to-end visibility to help operators enhance performance, ensure reliability, and efficiently manage complex, multi-domain network environments. Problem Statement Radio Access Networks (RAN) are the  … Read more

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Embedded Platform Optimization for Advanced Drone Systems: Lidar and Motor Control Integration

Client A leading drone and robotics company developing high-performance UAV platforms for autonomous operations, industrial inspection, and surveying in complex or restricted environments. Problem Statement Simultaneously executing high-throughput LiDAR processing and latency-critical motor control on resource-constrained embedded systems creates a fundamental bottleneck in real-time performance and scalable UAV autonomy. Challenge 1: High-Speed Sensor Integration Integrating  … Read more

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