AI startup Rocket is presenting its product as a strategy and research platform aimed at organizations that want structured, consulting-style analysis without traditional consulting costs.

Headquartered in Surat with operations in Palo Alto, Rocket has developed a system focused on determining what products or features to build, rather than how to build them. Its product, Rocket 1.0, integrates market research, product design inputs, and competitive intelligence into a single workflow and produces strategy documents formatted similarly to conventional executive slide decks and reports.

Users provide a prompt describing a product concept or business problem. The platform then generates product requirement documents in PDF format. These documents include proposed pricing models, unit economics, and go-to-market plans. The output is structured and formatted for decision-making, emphasizing business strategy over technical implementation details.

Co-founder and chief executive Vishal Virani states that the primary constraint in software development has shifted. With AI coding tools reducing the time and cost of engineering work, he argues that strategic decision-making has become the main bottleneck. According to this view, the challenge is less about generating code and more about evaluating markets, defining product positioning, and modeling financial outcomes.

Rocket’s system aggregates data from more than 1,000 sources, including advertising libraries, web traffic analytics, and proprietary web crawlers. It uses this data to generate recommendations, monitor competitor websites for changes, track traffic patterns, and detect shifts in messaging or pricing that may indicate strategic moves by competitors.

The platform does not claim to provide definitive forecasts. Its analysis is largely based on existing patterns and publicly available information, which limits its ability to generate unique or proprietary insights. As a result, customers are expected to validate key assumptions before making significant investments. Rocket supplements the automated output with human support to help users interpret findings and refine the analysis when needed.

Rocket sells access to its platform via subscription. Lower-tier plans focus on application-building support, while higher-tier plans add broader strategy and research functions, including competitive intelligence. At the upper tiers, the company positions its output as a lower-cost substitute for traditional consulting deliverables, offering multiple in-depth research reports per subscription period.