Rocket Bills $4,000 per User Delivering What McKinsey Charges $500,000
A traditional consulting firm like McKinsey & Company can bill between $250,000 and $500,000 for a six-week strategy project that mobilizes a team of eight. Rocket, a startup based in Surat, India — with offices in Palo Alto — has just launched its 1.0 platform, promising to deliver equivalent reports for $250 a month. This is not a lab experiment: the company already boasts over 1.5 million users across 180 countries and an annualized revenue average of $4,000 per user. CEO Vishal Virani succinctly captured it with a phrase that serves as an industry diagnosis: "Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing."
Rocket is not attacking the luxury consulting market. It is addressing the access gap: the millions of small and medium-sized enterprises (SMEs) that could never afford a Tier-1 firm and until now made strategic decisions using spreadsheets and intuition.
The Pricing Math: $250 vs. $250,000
Rocket's pricing model possesses a tiered logic that merits dissection layer by layer. The entry-level package, priced at $25 per month, covers app construction. The mid-tier plan, at $250, offers the highest value proposition: two or three strategy reports with quality comparable to a top consultancy, including pricing models, unit economics, and market entry recommendations. The premium level, at $350, adds near-real-time competitive intelligence.
Now let’s project the mechanics through the looking glass. If a user pays $250 per month and produces three reports, the cost per report is approximately $83. A traditional consulting firm charges between $15,000 and $50,000 for an equivalent deliverable in scope and presentation. The difference is not marginal: it’s a factor of 180 to 600 times. This price gap is not solely explained by the profit margin of the human consultant; it is attributed to the fixed cost structure of the traditional model: partners with seven-figure compensations, offices in Manhattan, travel expenses, and a production model that is fundamentally artisanal.
Rocket replaces that structure with over 1,000 automated data sources — including the Similarweb API, Meta’s ad libraries, and proprietary web trackers — and delivers reports in PDF format from a simple prompt. The resulting gross margin exceeds 50%, indicating that the variable cost of producing an additional report is low. This is what makes this model structurally different: the marginal cost of serving the 1,500,001st user is almost identical to that of serving the first user.
From Active User to Real Revenue: The Question the Data Doesn't Fully Answer
There is a number in this model that requires surgical attention: 1.5 million users with an average annualized revenue of $4,000. If both figures were simultaneously true for the same user base, Rocket would be generating $6 billion annually in revenue. That does not align with the profile of a company with 57 employees and $15 million in seed funding.
The most coherent explanation is that the figure of 1.5 million includes users on free or trial plans, and that the ARPU (Average Revenue Per User) of $4,000 applies only to the segment of paying users, which is significantly smaller. The company has not disclosed how many of its users are paying customers, which is a relevant information gap for any viability analysis. With gross margins of 50% and an ARPU of $4,000 on a paying base that could be in the tens of thousands of users, the numbers produce a solid business but not extraordinarily large yet.
What is clear is that the company grew from 400,000 to 1.5 million users from its seed round in September 2025 to the launch of version 1.0 in April 2026: seven months, 1.1 million new users. That adoption rate, regardless of the free versus paying composition, indicates that the product addresses a problem perceived as real and urgent by a broad user base.
What the Platform Does Well and the Limit That Defines It
The TechCrunch trial before the launch identified an operational limit that has direct implications for the product's positioning: part of Rocket's analysis seems to synthesize already available information — known pricing models, user behavior patterns, and public competitive data — rather than generating independently verifiable intelligence. In other words: Rocket is exceptionally good at organizing what already exists, but does not replace the judgment about what does not yet exist.
This is not a fatal criticism; it is a market definition. The product fits into the strategic work realm where 70% of the effort of a junior consultant consists of gathering, structuring, and presenting information that is already scattered across public sources. Rocket automates that very layer. What it does not automate — and probably should not attempt to do just yet — is high-order insight: the kind of recommendation that emerges from deep interviews with clients, from accumulated experience in a specific industry, or from reading the internal political dynamics of an organization.
20 to 30% of its customer base are small and medium-sized enterprises. For that segment, which historically had no access to any kind of structured analysis, Rocket is not an imperfect substitute for McKinsey. Rocket is the first consultant they could ever hire.
The Seed Model That Must Become a Customer Model
Rocket raised $15 million in September 2025 with Accel, Salesforce Ventures, and Together Fund. With 57 employees and gross margins exceeding 50%, the company has a notably contained cost structure for its scale of users. But the inevitable pressure on any venture-backed company is to grow faster than the product would naturally allow.
This is where the financial architecture becomes crucial. With an ARPU of $4,000 over a paying base that is growing organically — driven by product usefulness, not by acquisition subsidies — Rocket has the opportunity to build a business that is financed through its own customers before needing additional capital. The risk is the opposite: if it decides to accelerate growth through paid user acquisition at any cost, the cost of acquiring each paying user could quickly exceed the revenue that user generates in the first months, leading to cash burn that distorts the real financial health of the model.
Traditional consulting firms are not going to disappear because of the launch of Rocket 1.0. But the market for entry-level and mid-tier strategic analysis — the one that historically justified $50,000 to $150,000 projects — now has a functional alternative at $250 per month. This price compression does not require Rocket to be perfect; it merely needs to be good enough for 80% of the strategic decisions that a medium-sized firm makes in a year.
The $4,000 annualized revenue per paying user is the only metric that matters in evaluating whether this model survives its own promise. When that figure is sustained without capital subsidies and across a customer base that renews because the product delivers measurable value, the company stops being a technology bet and becomes a business.
