AI Projects Marketplace
Structured, supervised AI-enabled problem-solving for Indiana businesses and organizations.
What to Expect
This model is designed for structured experimentation, not perfection
Defined Problem
You describe the operational challenge, inefficiency, or AI opportunity. It does not need to be perfectly defined. Clarity of the business context matters more than technical precision.
Project Scoping
We work with a faculty lead to translates your problem into a structured AI project. Scope, timeline, data requirements, and expected deliverables are defined before student work begins.
Project Execution
A supervised student team executes the defined project over a fixed term, preferrably over the course of 6-12 weeks. Regular check-ins ensure alignment and course correction.
Practical Output
You receive a tangible outcome. Prototype, model, dashboard, workflow design, assessment report, or proof-of-concept. Not a slide deck for academic credit, something usable.
AI Project Examples
Start with a Real Problem. End with a Real Deliverable
- Demand forecasting using historical sales data
- Internal document search chatbot prototype
- Process automation opportunity assessment
- Customer segmentation using existing CRM data
- Computer vision proof-of-concept for quality inspection
- Data preparation and audit
- Cybersecurity risk assessment
- Work scheduling optimization
- More Use Cases
Project Delivery Options
Projects are matched to the delivery model that best fits your scope, timeline, and oversight needs.
University Faculty-Led
Delivery
Best for complex initiatives requiring executive alignment, cross-functional coordination, or implementation strategy.
Faculty-Led Student Team Delivery
Best for defined projects such as data audits, workflow automation prototypes, dashboard builds, or structured research.
Direct Student Team Delivery
Best for clearly scoped projects where your team can provide internal supervision and defined milestones.
Meet University AI Partners
Faculty leaders who guide student teams in delivering applied AI projects for businesses and organizations.
Dr. Mark Hayes
Machine Learning | Feasibility
Dr. Bradford Beach
Machine Learning | Workflow Automation | Data Preparation
Dr. Stephen Boem
Machine Learning | Explanatory Analysis
Funding & Cost Support
Select projects may qualify for partner funding or cost-sharing to accelerate execution and reduce overall cost.
INTAP
Technical advisory support and potential cost-share to help small and mid-sized businesses evaluate and adopt advanced technologies, including AI.
Powered by: IN Small Business Development Center
Innovation Voucher
Competitive funding to support applied innovation projects in partnership with approved providers, including AI-focused initiatives.
Powered by: Applied Research Institute
Micro-Internship
State-supported funding that enables companies to complete AI projects using paid student talent through flexible, project-based engagements.
Powered by: Indiana Economic Development Corporation
Building the Most AI-Ready Economy Starts with You
Connect with Indiana leaders sharing practical AI use cases, lessons learned, and implementation insights.
Ready to Partner with INAI? Contact: ai@cicpindiana.com