AI Launchpad: From Idea to Impact
Big Ideas Start Here: Up to $100K in Non-Dilutive Funding Awaits.
Ideation & Validation
Goal:
- Ideation sprints using design thinking
- Refine the problem, validate the market, and shape the AI opportunity
- Market research & problem interviews
- Feasibility: Is this AI-solvable?
- Introduction to AI ethics and bias
Deliverables:
- Problem statement
- Ideal customer profile
- Feasibility matrix
Prototype & Product Development
Goal:
- Build an MVP with a working AI component
- Tech stack selection (incl. open-source LLMs, APIs)
- Building datasets & labeling strategy
- Model training with real-world constraints
- Cloud & MLOps fundamentals
- Security and privacy by design
Deliverables:
- Clickable prototype or MVP
- Initial AI model
- Tech architecture doc
Go-to-Market & Customer Validation
Goal:
- Test with users, iterate based on feedback, prepare GTM
- Growth experiments & funnels
- Customer acquisition plan
- Storytelling & product messaging
- Legal & regulatory compliance (AI Act, privacy, etc.)
Deliverables:
- Landing page with real signups
- Pricing and GTM strategy
- Data governance checklist
Scale & Growth
Goal:
- Prepare for scaling, partnerships, and investment
- Fundraising prep (grants, angels, seed VCs)
- Strategic partnerships & enterprise pilots
- Hiring roadmap (local + remote teams)
- Performance metrics & dashboards
Deliverables:
- Pitch deck
- Growth roadmap
- Investor-ready data room