Different

The product

What Different is building

Different is an AI marketing system that runs the whole demand-generation loop for B2B companies whose marketing team is three to five people, not fifty. The core primitive is a shared memory of each customer's strategy, brand and results. Everything the system does reads from and writes back to that memory, which is what lets it plan a campaign, produce the ads, emails and landing pages, launch them, and then carry what it learned on one channel into the others and into the next campaign. The product is organized as Create, Orchestrate and Optimize. Create builds multi-step journeys with content tailored by funnel stage, account, industry and persona. Orchestrate launches email, ads and landing pages on a schedule or when a target account does something. Optimize shifts message, offer and budget as results come in, and tracks how visible the company is in AI answer engines (AEO), from monitoring through to recommending and writing content. Marketers approve every piece before it goes live. The early customer list is security and data-infra startups: Descope, Straiker, ArmorCode, Pantomath, Rox, Motif, Lensing. The proof points are about waste caught, not just volume: Descope says it redirected 60% of paid spend that was going to poor targeting, and Rox found off-target ad spend and retargeting tracking that had been broken for six months without anyone noticing. Motif's three-person team went from one campaign at a time to more than a dozen across four channels within a month.

The money

Why this matters

Ajeet Singh's pitch is blunt: "We built Different so a marketing team of five can do the work of 50." The bet is that B2B marketing is the department where the gap between strategy and execution is mostly labor: building audiences, writing variants, wiring up journeys, watching dashboards for spend leaks. That is exactly the work an agent with persistent context can absorb, while the strategy and creative judgment stays with the marketer. The AEO piece is the timing argument. Buyers increasingly ask an AI assistant instead of searching, and most marketing teams have no instrumentation for whether they show up in those answers. A system that already owns content production is well placed to close that loop. And a $48M seed is a statement that General Catalyst sees this as a category-defining fight, not a feature.

Investors: General Catalyst (Hemant Taneja, board), Lightspeed Venture Partners, Together Fund, Haystack Ventures, MXV Capital, Firebolt Ventures