New Delhi: Two99, an independent digital marketing and technology groups, has announced the commercial launch of MarkGrid — an AI-native Marketing Economics Platform that deploys 650+ specialised AI agents across the full marketing stack, from AI-search visibility and creative prediction to attribution, influencer compliance, and CFO reporting.
The platform is built on a single thesis: the next era of marketing will not be run by people managing tools. It will be run by people directing AI agents.
The launch marks one of the most explicit signals yet of a structural transition the global marketing industry has been preparing for in private and resisting in public — the gradual, then sudden, replacement of the agency-led services model with software that does the work directly. MarkGrid is among the first platforms built natively for that shift, by a team that ran inside the agency model long enough to know exactly where it breaks.
Founded by Agam Chaudhary, Two99 has spent more than a decade building performance marketing infrastructure for high-growth Indian brands across D2C, FMCG, automotive, fintech, and lifestyle. Across hundreds of client engagements, the team consistently encountered the same challenges — fragmented data, attribution guesswork, CFOs who couldn’t trust a single dashboard, and marketing leaders running a dozen disconnected tools that never talked to each other. MarkGrid is the direct answer to those recurring failures.
Agam Chaudhary, Founder, Two99 and MarkGrid, said, “The agency model, as the industry has run it for two decades, is being structurally replaced — not because agencies are bad, but because the model itself is fundamentally broken. We spent enough years inside it to know exactly why, and exactly how to fix it. The next generation of marketing won’t be run by people managing tools. It will be run by people directing AI agents — and that transition has already started.”
MarkGrid is engineered around six recurring failure modes documented across Two99’s client work: an invisible buyer journey where 72% of the funnel goes untracked; last-click attribution that systematically misallocates revenue; content bottlenecks that leave creative teams perpetually behind; creator ROI measured in sentiment rather than pipeline; community engagement that generates vanity metrics but no commercial signal; and CFO reporting that depends on weekly spreadsheet heroics. Each, Chaudhary argues, is a symptom of the same underlying problem — fragmented data, fragmented tooling, and a services model whose economics depend on opacity.
MarkGrid’s 650+ AI agents are organised across 17 capability domains, replacing the fragmented stack of analytics, attribution, content, social, email, dashboarding, and ad-management tools that modern marketing teams typically run — along with the manual layer of agency analysts, planners, and reporting executives who previously stitched those tools together.
Among the platform’s headline capabilities, Model Share measures how often large language models such as ChatGPT, Perplexity, Gemini, and Claude surface a brand versus its competitors when consumers ask product questions — giving brands the first quantified view of their visibility inside the AI-driven discovery systems consumers now actively use. The AI Content Engine generates campaign briefs and creative roughly 400 times faster than manual workflows. Dark Funnel Visibility surfaces the 72% of the buyer journey traditional analytics cannot see. The Real-Time Creator Audit reviews influencer videos against brand briefs and compliance guidelines before publication — protecting an estimated 25–40% of influencer spend currently lost to non-compliant content. Pre-Flight Creative Intelligence scores every creative on visual attention, emotional response, memorability, and cognitive load before media spend is committed. The AI Reporting Layer generates board-ready, CFO-grade reports in under three minutes.
The defining shift MarkGrid introduces is moving neuromarketing from a post-hoc explanation to a predictive system. While most platforms tell brands what happened, MarkGrid’s neuromarketing engine predicts what will happen — scoring the cognitive triggers, emotional resonance, attention hotspots, and memorability of any creative before a single rupee of media is committed. Brands can kill underperforming creatives pre-flight, regenerate variants automatically, and ship only the ones an AI ranker predicts will outperform their last 90 days of work.
In early deployments, MarkGrid clients have recorded a 15%+ reduction in customer acquisition cost in the first 90 days, a 30x improvement in time-to-first-insight, a 10x lift in content output from the same team, and predictive lead-scoring accuracy above 80%. Onboarding from contract to first live insights takes 24 hours.
MarkGrid is available on a modular pricing structure starting at $1,500 per month, scaling to enterprise deployments with dedicated AI strategists, custom integrations, and concurrent access to the full agent suite. The platform is now live at markgrid.ai.
