AI startup Rocket offers vibe McKinsey-style reports at a fraction of the cost

Indian startup Rocket has officially launched its AI platform, aimed at tackling a problem that precedes coding: deciding what to build. As a proliferation of AI tools makes software development faster and more accessible, Rocket is betting that the more critical challenge is now business strategy. The Surat-based company's platform ingests simple prompts to produce detailed product requirement documents, complete with go-to-market plans and unit economics, positioning itself in the gap between ideation and execution.

The platform, Rocket 1.0, integrates competitive intelligence, market research, and product planning into a unified workflow. According to CEO Vishal Virani, it pulls from over 1,000 data sources, including Meta’s ad libraries and Similarweb’s API, to inform its analysis. The company, backed by a $15 million seed round from firms like Accel and Salesforce Ventures, offers monthly subscriptions ranging from $25 to $350. The higher-tier plans are framed as a direct, low-cost alternative to management consulting, with Virani claiming the $250 plan can generate multiple “McKinsey-grade” research reports.

Rocket's market entry highlights a strategic shift in the AI landscape. While tools like Replit and Claude Code focus on the 'how' of building products, Rocket addresses the 'what' and 'why.' “Everyone can generate the code now… it has become a commodity,” Virani noted. By automating the creation of consulting-style strategy, Rocket aims to equip small and medium-sized businesses—a segment that constitutes 20-30% of its current customer base—with data-driven decision-making capabilities that were previously accessible only through expensive human consultants.

As AI commoditizes the mechanics of software development, Rocket is betting that the next defensible value will be in automating the strategic business decisions that precede the first line of code.