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Ardun Technologies
Exploring Digital Twin Deployment for Asset Management
Ardun Technologies
Problems, solutions, benefits Problem(s) Identified:  the complexity, time, effort, cost developing connected car features. Benefits/solutions provided: technical and business agility by being able to adapt new capabilities into AT’s platform faster, with less repetitive effort by ARD-Tech engineers. Objective - offsetting efforts and costs of DT against potential benefits. Solutions: end-to-end connected vehicle feature development – e.g. PHEV, ADAS level 2+. KEY FACTORS CUSTOMER WILL USE TO JUDGE VALUE. (Measurable) Value drivers: Clarifies which capabilities of this product (as quantified as possible) will be most important to a customers’ perception of its overall value. Can fall into one or more of these categories: Simplicity – enables AT to experiment and assess new and or friction-reduced solutions, without necessarily having to work through lengthy pre/production processes. Reduced cost/complexity – reduced time to market, and less in-vehicle validation overhead to bring connected car features or capabilities to market. Reduced risk – provides ability to demonstrate MVP and gain valuable Customer feedback, before targeting a specific vehicle. Response to competitors: products to market quicker at reduced cost, with more complete end-to-end product testing – including safety/cyber-security aspects.   Key technology SDV, digital twin, ANSYS Digital Twin Builder, MBSE. Specific features Cloud infrastructure, Kubernetes AKS, Capella, Go/Python CRUCIAL FACTORS AS APPLICABLE . Elements that are not a primary part of the functionality but are key attributes that must be present. May include: Security – validate security measures and validate potential attack paths. Design/development – support MBSE activities AT to streamline development. Viability – assist with establishing a ‘go to market’ decision (notice-of-decision). DT to help ensure AT privacy policy upheld.
Data modelling Mechanical engineering Engineering project management Cloud technologies
IRM Consulting & Advisory
AI-Assistant App for Cybersecurity
IRM Consulting & Advisory
Primary Objectives The main objective of this project is to build 2 MVP Applications. MVP's will be AI-powered cybersecurity applications designed to assist small businesses. APP1 - Cyber Assistant App The purpose of this App is to assist small businesses by focusing on being an AI-Cyber Assistant that supports small IT and Security Teams on a daily basis. APP2 - AI Workflow Agentic App The purpose of this App is to orchestrate the activities involved in preparing an organization for ISO27001 and SOC2 certification audits by automating the steps and activities for the creation and evidencing of required controls and documentation.
Product or service launch
LOCVM Inc.
Sales Strategy & Outreach Development
LOCVM Inc.
Help LOCVM Build Its Sales & Outreach Strategy  LOCVM is looking for creative, strategic-minded students who are excited to help us revamp our sales and outreach process from the ground up . This is a unique opportunity to gain hands-on experience in startup sales strategy and client outreach execution. We're building a streamlined, actionable market plan to connect with our target audience—and we want you to help shape it. What You'll Work On: Collaborate on building a sales strategy tailored to LOCVM’s goals and ideal customer profile Identify key contacts and outreach channels within our target industries Craft compelling messaging to represent LOCVM’s value in the marketplace Create a clear, step-by-step outreach guide for future sales and marketing team members (including call/email script our team can use to consistently pitch LOCVM) Execute initial outreach based on the strategy you helped build, and analyze early feedback Who You Are: A student who’s excited about startups, growth strategy, and real-world marketing Strong communicator who enjoys research, writing, and strategic thinking Not afraid to test, iterate, and learn from hands-on outreach experience Join us at LOCVM and help shape how we grow. This project will directly impact our business and give you a front-row seat to how early-stage startups build traction.
Market research Sales strategy

Featured experiences

Browse experiences that are seeking companies to provide projects for learners. See what their learners are capable of, and submit a project to apply to participate.
Strayer University
Accounting Consulting with Dr. Abudiab - Fall 2025
Strayer University
Beginning in October, teams of students will work virtually with your organization to support you in achieving your key accounting objectives such as: How to create Sales forecasting? How to establish a Budgeted Income Statement, Balance Sheet, and Cash Flow Statements? How to predict future revenue and expenses through adequate budgeting? How to perform a comprehensive Break-even analysis? How to test the financial health of a business through financial preparation and analysis? What recommendations can be provided to improve the financial health of a business?
Accounting
Arizona State University (ASU)
Analyzing and Implementing Energy Efficient Solutions
Arizona State University (ASU)
Energy Efficiency is a combined senior technical elective and graduate course with primarily mechanical engineering students. The goal is to enable the students to analyze energy-efficiency opportunities in buildings and industrial processes, and to innovate and implement energy efficiency technologies.
Data analysis Mechanical engineering Engineering project management Product or service launch Environmental sustainability
Mercy University
Data Analytics in Business (F 2025)
Mercy University
Looking to elevate your organization, and bring it to the next level? Bring on students from Mercy University to be your student-consultants, in a project-based experience. Students will work on one main data analysis-visualization project over the course of a term, connecting with you as needed with virtual communication tools. Students in this program focus on the collection of, and analysis of, data. They learn how to objectively manipulate data into useable data sets, including visual data analytics to help make data backed decisions for more thorough analysis, and use predictive modelling to ascertain future patterns and trends.
Databases Data visualization Data analysis Data science

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