AI consulting reports have traditionally belonged to firms that charge six-figure retainers for a single engagement. However, a startup out of Surat, India, now wants to change that equation entirely. Rocket, co-founded by CEO Vishal Virani, recently launched Rocket 1.0 to bring strategy-grade research directly to founders and product teams. The platform is already drawing attention for its ability to produce AI consulting reports that rival the depth of deliverables from established advisory firms.
So what makes Rocket different from every other AI tool flooding the market right now? The answer lies in what happens before a single line of code gets written. Most platforms focus on speed, on getting a prototype live in minutes. Consequently, Rocket takes a different path by focusing on the research, competitive analysis, and strategic planning that determine whether a product idea can survive in the real world.
How AI Consulting Reports Replace Traditional Strategy Work
Most AI-powered coding tools help developers build faster. Platforms like Cursor, Replit, and Lovable have made it possible to go from prompt to working prototype in a matter of minutes. In contrast, Rocket tackles a different problem altogether. The platform produces AI consulting reports that cover pricing models, unit economics, and go-to-market strategies in one cohesive document. As a result, founders and product teams receive what resembles a high-level consulting deliverable rather than a simple feature list or chatbot response.
TechCrunch tested the platform ahead of its public launch and found that Rocket produced product requirement documents in PDF format from straightforward prompts. Furthermore, those AI consulting reports looked closer to strategy-grade output than anything produced by typical vibe coding tools on the market today. The documents covered competitive positioning, revenue modelling, and user acquisition strategies in formats that businesses could act on immediately.
This distinction matters because the rise of AI agents in commerce is already transforming how businesses think about product development. Therefore, having a tool that bridges strategy and execution through structured AI consulting reports fills a genuine gap that most platforms ignore entirely.
Why Virani Believes Strategy Outweighs Speed
Virani has been vocal about a shift he sees in the startup landscape. He argues that writing code has become a commodity, and that the real challenge for entrepreneurs is deciding what to build in the first place. Additionally, he draws a clear line between running a business and simply assembling a codebase.
That philosophy shapes every part of the Rocket 1.0 experience. For instance, the platform does not just spit out features and wireframes. Instead, it walks users through research phases, competitive landscapes, and financial modelling before any development work begins. As a result, teams spend less time pivoting after launch and more time executing against a validated strategy.
The broader startup ecosystem has started to reflect this shift as well. Investors increasingly want to see data-backed product strategies before writing cheques, not just working demos. Consequently, tools that generate structured strategy deliverables fill a growing need for founders who need to prove market viability before they start building.
This approach also aligns with conversations about how fintech companies balance AI automation with human expertise. Ultimately, no AI platform can replace human judgment entirely, and Virani has acknowledged as much by promising hands-on human support whenever users encounter challenges with the platform’s outputs.
Over 1,000 Data Sources Power Competitive Intelligence
Beyond the core AI consulting reports, Rocket offers ongoing competitor tracking functionality. The platform monitors website changes, traffic trends, and advertising activity across markets. Moreover, it pulls data from more than 1,000 sources, including Meta’s advertising libraries and Similarweb’s API.
This gives users a living competitive picture rather than a static snapshot. Consequently, businesses can adjust their positioning in near real-time as market conditions shift. For SMEs that cannot afford dedicated competitive intelligence teams, this feature paired with the platform’s AI consulting reports justifies a closer look.
Still, some caution is warranted here. Early reviewers noted that parts of the analysis appear synthesized from existing datasets rather than independently verified research. The pricing models and user behaviour patterns referenced in the outputs draw on publicly available data, which means the insights are directional rather than proprietary. Therefore, users should treat these AI consulting reports as a strong starting point and validate critical assumptions before making high-stakes decisions.
Subscription Tiers and the McKinsey Price Comparison
Rocket structures its pricing across three tiers designed for different business needs. The entry-level plan starts at $25 per month and focuses on application building with basic AI features. Meanwhile, the mid-tier plan costs $250 per month and allows users to generate two to three comprehensive AI consulting reports alongside product builds.
The top tier sits at $350 per month and unlocks full access, including competitive intelligence features and ongoing market monitoring. For context, a single engagement with a top-tier consulting firm can run into the hundreds of thousands of dollars. As a result, Rocket positions its mid-tier AI consulting reports as a credible lower-cost alternative that still delivers what the company calls McKinsey-grade output.
Whether or not the quality matches traditional consulting depends entirely on the use case and the complexity of the market in question. Nevertheless, for early-stage startups, solopreneurs, and SMEs that need strategic clarity without a massive budget, the price-to-value ratio looks compelling. The recent wave of AI-focused venture funds suggests investors agree that this segment of the market is ripe for disruption.
From 400,000 to 1.5 Million Users in Months
Rocket’s growth trajectory tells its own story. After securing a $15 million seed round from Accel, Salesforce Ventures, and Together Fund in September 2025, the company scaled from 400,000 users to more than 1.5 million across 180 countries. That kind of growth suggests strong demand for accessible AI consulting reports among global founders and product teams.
The startup also reports an annualized average revenue per user of roughly $4,000 and maintains gross margins above 50 percent. Notably, small and medium-sized businesses make up between 20 and 30 percent of Rocket’s customer base. These numbers indicate that the platform attracts paying professionals who find real value in the strategic outputs, not just casual experimenters testing a free trial.
With 57 employees split between Surat and Palo Alto, the company operates a lean team relative to its user base. That efficiency, combined with strong unit economics, positions Rocket well for its next funding milestone. The company has also signalled plans to double its engineering and product strength in India over the coming year, which should improve the quality and depth of its strategic outputs over time.
What This Means for the Broader Strategy Market
Rocket’s launch signals a broader trend in which AI platforms move beyond execution and into strategic planning. For years, the conversation around AI in business centred on automating repetitive tasks like data entry, invoicing, and customer support. Now, platforms like Rocket are attempting to automate the thinking that precedes those tasks.
This shift carries implications for consulting firms, accelerators, and venture capital ecosystems alike. If a $250-per-month tool can reliably produce product strategies that previously required weeks of consultant hours, the demand curve for traditional advisory services could flatten in certain segments. Mid-tier consultancies that rely on standardised frameworks may feel the pressure most acutely as AI consulting reports become more sophisticated and widely adopted.
Of course, the human element still matters in complex strategic work. Nuanced negotiations, regulatory considerations, cross-border compliance, and relationship-driven strategy all remain beyond the reach of any AI platform today. Even so, for the vast majority of startups that simply need a structured, data-backed plan to move forward, AI consulting reports from platforms like Rocket represent a meaningful step in the right direction.