Indian Startup Rocket Wants It’s AI To Do McKinsey Style Consulting At A Fraction Of The Cost

In the crowded world of startups, where every week brings a fresh “AI breakthrough,” one team in India is taking a different tack. Rocket, an outfit based in Surat, believes that code has become almost trivial — what really matters comes before a single line is written: the decisions and ideas that give a product its soul. Instead of another code-generating marvel, Rocket wants to help founders answer a simpler, older question: What should we actually build?

On Tuesday, the company pulled back the curtain on Rocket 1.0, their newest platform. It promises more than another AI assistant—a fully integrated workflow, stitching together research, product blueprinting, and market analysis. The result isn’t a vague chatbot conversation or a list of to-dos, but a meticulous product strategy, laid out consulting-style. Pricing plans, unit economics, competitive overviews, and go-to-market playbooks—Rocket produces them all, spun into polished reports at the click of a button.

Vishal Virani, Rocket’s co-founder and CEO, puts it bluntly: “Anyone can churn out code now. That’s cheap. Knowing what’s actually worth building…that’s where everyone stumbles.” To him, developing software and creating a real business are universes apart.

TechCrunch, invited for a sneak preview, found the platform quick and sharp. Prompt Rocket with a general idea, and it assembles a comprehensive requirements document—delivered as a PDF with a distinctly consultative flavor. These aren’t your average lightweight AI prompts or “vibe coding” tools; Rocket seems determined to fill a rather different niche.

Still, there’s an asterisk. Some of the competitive research and analysis feels stitched from scraps of prior reports, pricing tables, behavioral patterns—drawn from aggregated data, not always direct independent insight. For founders, there’s wisdom and caution: treat Rocket’s reports as a well-informed launchpad, not gospel. Human judgment isn’t obsolete just yet. Virani himself notes that Rocket’s team can step in to resolve thorny questions if users get stuck or need nuance.

An interesting trick up Rocket’s sleeve: live competitor tracking. The platform monitors changes to rival websites, notes shifts in web traffic, and digests over a thousand sources—from Meta’s sprawling ad database to Similarweb’s analytics APIs, plus proprietary web crawlers of their own.

The business side comes in layers. Access starts at $25 per month for simple app builders, then jumps to $250 for deeper research and strategy support. The full experience—a package including competitive intelligence—runs to $350 a month. It’s a steep curve, but Virani points out that their mid-tier plan can whip up two or three research dossiers that wouldn’t look out of place at McKinsey, for a fraction of the typical consulting price. For every startup founder who’s had sticker shock from a Big Four fees quote, Rocket’s pitch is direct: “Rethink what consulting should cost.”

Investors took notice. Last autumn, Rocket raised $15 million in seed funding from heavyweights like Accel, Salesforce Ventures, and Together Fund. Since then, their user base has exploded: from 400,000 to over 1.5 million, spanning 180 nations. On revenue, the company claims a healthy annual run rate, topping $4,000 per user. They’re cagey about disclosing how many are paying, but claim over half their gross margin, and highlight that a solid chunk—20% to 30%—are small- and mid-sized businesses looking for an edge.

Fifty-seven people make up Rocket’s crew, mostly in Surat, with a bridgehead in Palo Alto.

The startup’s big bet? That the next wave of business-building won’t start with code but with clarity—outlining the “why” and “what for” before the “how.” They’re offering a shortcut through the fog of market uncertainty, arming founders with sharper tools for early-stage insight and strategic direction.

The AI gold rush may have lowered the cost of writing software, but Rocket is gambling that, before all else, vision still matters most — and they want to be the engine that helps ideas take flight, long before the first prototype ever sees daylight.

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