Redesigning an old fashioned application and updating it to cloud environment and enhancing the trip experience for participants with automatic user personalization, cutting edge UX & UI.


Over 50 languages and countries, smart trip search, trip registration, and a unique CMS system for setting up new websites without a code.

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Public Website

Establishing an app and enhancing the trip experience for participants with automatic user personalization, cutting edge UX and UI.

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Taglit Participant Application

Donation website, trip planning system, reports, and more ...

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And More…

Management method scrum for providing fast throughput for clients.

Flexibility between front, back, apps (Android and iOS) developers.


Fully managed and flexible team (for any need that might occur).


Technological accelerator while supporting legacy systems.


Substantial technological change from monolithic to microservices.


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Added Value

Cloud-Native Applications

Monolith to Microservices

Software

Studio

Your longer title can also fit in here

Taglit Suite

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Taglit-Birthright Israel, also known as Birthright Israel or simply Birthright, is a not-for-profit educational organization that sponsors free ten-day heritage trips to Israel, Jerusalem, and the Golan Heights for young adults of Jewish heritage, aged 18–32. Taglit is the Hebrew word for 'discovery'

  How we updated Taglit's legacy systems into novity microservice systems

Case Study - Taglit Suite

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Migration Process

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Technologies

Cost effective - Elastic use of resources and storage solution.  

Support - Implements Prometheus, Graffana, CloudWatch, and more for monitoring. 

Zero Downtime - High availability, Smart rolling updates

Save time - Design DevOps solution with managed services and automatic jobs.

Security - VPC, WAF Incapsula, AWS Shield, Istio service mesh, VPN, and least privilege.

XaaS - Everything-as-a-Service

Cloud

גלה עוד

Taglit Cloud

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Case Study - Taglit Cloud

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https://drive.google.com/file/d/10rSS5SU3LlTXu5kpD8nwBHl50VOWqQkm/view?usp=sharing

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Live Demo

Overwatch can integrate multiple real-time sensors and keep you updated on everything that's going on. No matter where you are.

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Always Be Aware

* unnecessary *

Web-based - High performance, low latency, lightweight, flexible, responsive design, with full support for desktop, tablet, and mobile.

Low support costs - Web-based client means less end-user system support and easy software updates.

Built for integrations - a large set of tools to allow easy, seamless, fast integration with new devices and other systems.

 AI - Real-time analysis and alerts for video streams, AI suggestions, and more.

IOT ready gateway for future proof support

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Overwatch

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Case Study - Overwatch

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Our secured cloud environment and communication using Waterfall Security will keep you safe while connected from your desktop or mobile.

Real-time insight production using Big Data and BI enables planning and construction as needed, saving time and money.

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Plan, Build and Save Money

Stay secure, stay connected

 Insights regarding buildings to save costs and detect faults in devices.

ETL - Use Apache Beam to transform data and organize it in an efficient way, including unstructured data.

Event-driven - MQTT and AMQP protocol for high-speed communication.

Maximum security - Waterfall Security, VPC, Istio, and more..

Scalable system that supports large traffic using microservice architecture and cloud environment solutions.

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Afcon

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Case Study - Afcon

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Organizations face significant challenges in managing large volumes of candidate resumes, accurately matching job roles, and assessing candidate fit. Traditional recruitment processes often result in delays, high operational costs, and suboptimal hiring decisions. SoluGen recognized an opportunity to tackle these challenges by using Amazon Bedrock’s Claude model to automate recruitment workflows.

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Challenge

SoluGen developed an AI-powered Recruitment Optimization System on AWS to automate and enhance recruitment processes:
- Resume Parsing and Analysis: Amazon Bedrock was integrated to extract and analyze candidate information with high accuracy, ensuring detailed resume parsing.
- Job Matching Engine: By leveraging Claude models in Amazon Bedrock, SoluGen’s system intelligently matches candidates to open positions based on skills, experience, and job requirements.
- Candidate Risk Assessment: The system highlights potential fit issues, such as mismatches in experience or skill gaps, providing HR teams with risk assessments.
- Real-Time Dashboards: Utilizing Amazon CloudWatch, SoluGen implemented reporting dashboards that provide actionable insights into candidate rankings, match scores, and recruitment performance.

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Solution

- Amazon Bedrock: Core service for deploying generative AI models to power resume analysis and job matching.
- Amazon S3: Used for securely storing resumes, candidate profiles, and related data.
- Amazon CloudWatch: Enabled real-time monitoring and performance tracking of the recruitment optimization system.

AWS Services Leveraged

20% reduction in time-to-hire, speeding up the recruitment process.

90% accuracy in candidate-job matching through AI-powered recommendations.

Streamlined processes: HR teams saved significant time through automated parsing and risk assessments.

Improved decision-making: Actionable insights provided by detailed dashboards improved hiring outcomes.

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SoluGen AI

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Learn how SoluGen uses generative AI on AWS to automate recruitment, streamline processes, and improve hiring accuracy.

Case Study - SoluGen AI

Utilizing GenAI on AWS to streamline hiring processes

Educational institutions often receive an overwhelming volume of repetitive email inquiries, creating manual processing bottlenecks, delayed responses, and decreased satisfaction among students. MilGo required a scalable solution to:
- Classify emails with high accuracy.
- Automate responses to frequently asked questions.
- Enhance visibility into system performance through real-time dashboards.


MilGo developed an Automated Email Classification and Response System using Amazon Bedrock on AWS, achieving over 95% accuracy in email sorting with Claude models. The system matches emails to predefined templates for automated replies, handling FAQs and routine queries to minimize manual effort. Real-time performance, including accuracy and response times, is monitored through AWS CloudWatch dashboards.

Amazon Bedrock: Core service used for deploying generative AI models for email classification and response automation.
Amazon S3: Used for storing email templates, logs, and other key data.
Amazon CloudWatch: Enabled real-time monitoring of system performance and response metrics.

50% reduction in manual email processing workload.

MilGo

Learn how MilGo automates email classification and responses using Amazon Bedrock to improve response times and enhance student satisfaction.

Case Study - MilGo

Using Amazon Bedrock to automate large-scale email responses

Discover the success stories of our customers

Taglit Suite

Discover more

Taglit Suite

Taglit Cloud

Overwatch

Afcon

SoluGen AI

MilGo

Ashtrom