Digital Innovation & Entrepreneurship
Four weeks of structured project work in business model analysis, startup strategy, and digital transformation — with a global team.
What you'll actually build
Every cohort runs one structured group project. Your team works through it together — no shortcuts, no pre-baked answers.
The Digital Innovation project is a structured analytical exercise grounded in a real business problem — evaluating a digital transformation opportunity, building a go-to-market strategy for a tech product, or assessing a sector through the lens of AI adoption or platform disruption. You're not producing a thought piece. You're producing a recommendation a founder or investor could act on.
You work in a team of 6–8 participants, with workstreams that reflect how innovation teams actually function: market assessment, technology evaluation, business model analysis, and communication. The work connects across workstreams throughout the four weeks.
Progress is tracked across four structured phases, with a mid-program check-in and a final presentation. This track attracts people who can hold both analytical rigour and creative problem-framing at the same time.
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A
Assess & Scope Define the innovation context, landscape scan, identify the problem
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B
Research & Evaluate Market sizing, technology assessment, competitive and user analysis
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C
Build the Case Business model logic, go-to-market framework, risk and assumption mapping
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D
Deliver & Present Final output and group presentation — investment-memo or strategy-deck standard
Skills you'll be able to demonstrate
Grounded in the actual project — not a list of concepts you'll have been introduced to.
Business Model Analysis
Evaluating how a product or service creates, delivers, and captures value — and where the logic breaks down or holds up.
Market Sizing
Estimating addressable markets, segmenting users, and building the evidence base for a commercial opportunity.
AI & Technology Evaluation
Assessing AI tools and digital technologies against a real business context — what solves the problem, what doesn't, and why.
Pitch Framing
Communicating a startup or innovation case clearly — structuring the problem, the solution, and the ask in a way that holds up to scrutiny.
Cross-Cultural Collaboration
Working across time zones in a distributed team — the communication and accountability norms that make async teams function.
Data-Led Insight
Finding and using data to support a position — quantitative evidence as the backbone of a recommendation, not decoration.
This program is built for three kinds of people
The track draws people who are interested in the commercial side of technology — not just building it, but analysing, evaluating, and directing it.
First exposure to the commercial logic of digital businesses
You understand technology or business in isolation. This program is where you work on both simultaneously — evaluating digital opportunities from first principles, in a structured team environment.
Practical validation of a startup or innovation thesis
You're developing a startup idea or targeting a VC or innovation role. Four weeks of rigorous market and business model analysis gives you depth — and a deliverable that demonstrates it.
Moving from a traditional field toward the innovation economy
You're in finance, consulting, or engineering and want exposure to the startup and digital transformation space. This is how you build domain familiarity without leaving your current role.
What they said, after completing
From the completion survey — unedited.
The AperioHub project wasn't a classroom exercise — it felt like my first real job. Working on a market expansion strategy taught me practical skills in research, analysis, and stakeholder thinking that no lecture could replicate.
Moyosola PetersonThis has been an immersive experience into business consulting. Regardless of this being such a short internship, I worked on multiple avenues and improved my knowledge and skills. My highlight was learning how a product is pitched to the client in a way that not only seems feasible but is the right choice in every factor.
Pranav BharadwajI am extremely satisfied with the project assigned to us. The problem statement compels you to dive deep, work out a solution with your teammates, and showcase your data analysis and presentation skills. I don't think there is any other opportunity quite like this.
Yukta ChhajerReady to work on real digital innovation problems?
Applications for the next cohort are reviewed on a rolling basis. Cohorts fill quickly — apply early.