Rocket AI Disrupts Consulting: Get McKinsey-Grade Reports for Less

Indian startup Rocket is betting that the next big opportunity is the part before the vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

Rocket 1.0: Charting a New Course in AI Strategy

In an era where artificial intelligence has commoditized the act of writing code, a new frontier is emerging: using AI to determine the *what* before the *how*. Indian startup Rocket, based in Surat, is at the vanguard of this shift, launching a platform designed to empower innovators and entrepreneurs with AI-driven product strategies that previously required costly human consultants.

On Tuesday, Rocket unveiled Rocket 1.0, an ambitious platform that seamlessly integrates market research, product development insights, and competitive intelligence into a unified workflow. Far from being another “vibe coding” tool, Rocket 1.0 is engineered to generate comprehensive product strategy documents, replete with critical business components like detailed pricing models, unit economics projections, and actionable go-to-market recommendations.

The Strategic Imperative: Beyond Code Generation

The tech landscape is awash with AI-powered coding assistants. From dedicated platforms like Cursor, Replit, and Lovable to integrated features such as Claude Code and Codex, the act of translating an idea into functional code has become remarkably swift and accessible. This technological leap has undeniably democratized software development, yet it has simultaneously highlighted a growing void: the strategic foresight required to build products that genuinely resonate with markets and sustain viable businesses.

“Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” articulates Vishal Virani, Rocket’s co-founder and CEO. His insight underscores a fundamental truth in the startup world: technical proficiency, while essential, is merely one facet of success. “Running a business and just building a codebase are two different things,” Virani emphasizes, pointing to the critical distinction between engineering execution and strategic vision.

This is precisely where Rocket 1.0 carves its niche. It targets the pre-development phase, a domain traditionally dominated by expensive consulting firms or arduous, manual research. By automating the generation of strategic blueprints, Rocket aims to democratize access to high-level business intelligence, enabling founders and product managers to make informed decisions before a single line of production code is written.

Unpacking Rocket 1.0: Consulting-Grade Insights at Your Fingertips

TechCrunch had the opportunity to preview Rocket’s platform prior to its official launch, witnessing its capability to distill simple text prompts into detailed, PDF-formatted product requirement documents. What stood out was the quality and structure of these outputs: they mirrored professional consulting reports, diverging sharply from the feature-centric or execution-focused responses typically provided by general-purpose chatbots or code generators.

These documents delve deep, offering not just a product concept but a holistic business plan. Imagine a report that not only outlines potential features but also provides a breakdown of competitive offerings, analyzes target user segments, proposes pricing tiers based on market elasticity, and even projects unit economics – all synthesized from vast datasets. This comprehensive approach empowers users to move beyond mere ideation to a robust, data-backed strategy.

However, as with any AI-generated analysis, a critical eye remains essential. Our preliminary testing indicated that some analyses, while coherent and well-structured, appeared to be synthesized from existing public data – combining established pricing models, observed user behavior patterns, and publicly available competitive insights. This suggests that while Rocket provides an exceptional starting point and a significant reduction in research time, users should still validate key assumptions and outputs with their own specific market knowledge and primary research before committing to major business decisions. Virani acknowledged this, confirming that the platform offers human support to users encountering complex issues or requiring deeper validation.

The Data Engine: Fueling Competitive Intelligence

Beyond strategic planning, Rocket 1.0 also integrates robust competitive intelligence capabilities. The platform can continuously monitor competitors, tracking subtle changes to their websites, analyzing shifts in their traffic trends, and even inferring their advertising strategies. This real-time, dynamic competitive overview provides an invaluable edge in fast-moving markets, allowing businesses to adapt quickly and identify emerging opportunities or threats.

Virani elaborated that Rocket’s analytical prowess is powered by an impressive array of over 1,000 data sources. This vast data lake includes publicly available information like Meta’s ad libraries (offering insights into competitor ad spend and creative strategies), proprietary data via APIs from market intelligence leaders such as Similarweb (providing traffic and engagement metrics), and Rocket’s own custom crawlers that continuously scour the web for relevant market signals. This multi-faceted data ingestion strategy ensures a rich, diverse, and up-to-date information base for its AI models.

Business Blueprint: Pricing, Traction, and Market Impact

Rocket’s subscription model is structured to cater to a spectrum of user needs, reflecting its multifaceted offering. Plans begin at an accessible $25 per month for core application building support, scaling up to $250 for comprehensive strategy and research capabilities. The full platform, which includes advanced competitive intelligence features, is priced at $350 per month. This tiered approach ensures that individuals, small startups, and larger businesses can all find a plan suited to their specific strategic requirements.

Virani highlighted the value proposition of the $250 plan, stating it can generate two to three “McKinsey-grade” research reports alongside product builds. This bold claim directly positions Rocket’s higher-tier offerings as a dramatically more affordable and agile alternative to traditional management consulting, which typically charges tens or even hundreds of thousands of dollars for similar strategic analysis and recommendations. For startups and SMEs operating on tighter budgets, this represents a significant opportunity to access high-caliber strategic guidance.

The market has responded enthusiastically to Rocket’s vision. Following a substantial $15 million seed round in September, backed by prominent investors such as Accel, Salesforce Ventures, and Together Fund, the startup has experienced explosive growth. Its user base has surged from 400,000 to over 1.5 million users, spanning 180 countries – a testament to the global demand for AI-driven strategic tools. While detailed paying customer numbers were not disclosed, Rocket reported an impressive annualized average revenue per user (ARPU) in the ~$4,000 range, indicating strong engagement and monetization potential from its subscriber base.

Financially, Rocket appears to be operating on a healthy trajectory, reporting gross margins exceeding 50%. This robust margin profile, coupled with the fact that 20-30% of its customers are small- and medium-sized businesses (SMBs), suggests a sustainable business model with broad market appeal. Headquartered in Surat, India, with an operational footprint in Palo Alto, Rocket maintains a lean but effective team of 57 employees, further reinforcing its efficiency and potential for continued growth.

The Bottom Line

Rocket 1.0 marks a pivotal moment in the evolution of AI tools, moving beyond mere task automation to truly empower strategic decision-making. By democratizing access to “McKinsey-grade” product strategy and competitive intelligence, Rocket is not just building a platform; it’s fostering a new generation of data-driven entrepreneurs and product leaders. Its rapid user growth, strong investor backing, and healthy financial metrics underscore the urgent market need for intelligent tools that answer the fundamental question: “What should we build?” As AI continues its upward climb in the value chain, Rocket is well-positioned to become an indispensable partner for businesses seeking to innovate with purpose and precision in an increasingly competitive global market. The future of product strategy might just be AI-powered, and Rocket is leading the charge.