In 2022, a well-designed pitch deck took 3-4 weeks to build properly. Market sizing research. Competitive landscape slides. Financial projections. TAM/SAM/SOM calculations. Design.
Most founders either hired a consultant (₹50,000-2,00,000 for a good one) or spent a month doing it themselves and still weren't happy with the result.
AI hasn't just made pitch decks faster to create. It's changed what "good" looks like at the first draft stage, and that changes how founders should use their time.
The old process: Research → Structure → Write → Design → Fundraise The new process: AI First Draft → Refine with your unique insight → Fundraise
The AI handles the structure, the standard slides, the market sizing template, the competitive analysis format. Your job is to add the irreplaceable parts: your insight, your unfair advantage, your story.
For a D2C brand raising its first round, MarketMind generates:
1. Market size slide: TAM, SAM, SOM with Indian market data and sources 2. Problem slide: The specific inefficiency or unmet need your brand addresses 3. Solution slide: What you do differently and why it works 4. Traction slide: Template structured to highlight your strongest metrics 5. Competitive landscape: Positioning map with your top 5 competitors plotted 6. Business model: Unit economics structure relevant to your category 7. Financial projections: 3-year model with standard D2C assumptions
The output is a structured first draft, not a finished presentation. But a structured first draft with market data in 90 seconds versus a blank slide deck is a completely different starting point.
AI can't tell your story. It can't explain why you specifically are the right person to build this company. It can't capture the insight from 3 years of running your brand.
But it can give you a professional foundation to build that story on, faster than any consultant, at a fraction of the cost.
For Indian D2C founders approaching their first raise, that matters.