Offering a transparent look into the costs of building on a foundational LLM, Dresma's CEO reveals that 25-30% of total revenue is spent on Gemini credits for content generation. This metric provides a crucial benchmark for founders and investors evaluating the gross margins and defensibility of AI-powered SaaS businesses.
Dresma intentionally uses free, single-purpose tools (like an "HD photo converter") in its website footer as a programmatic SEO strategy. This top-of-funnel approach generates thousands of monthly visitors. While not direct converters, it serves as a low-cost way to introduce potential customers to their brand and core technology.
Dresma debunks the myth that large US enterprise deals require US-based sales teams. Their two Account Executives are based in Gurgaon, India, with an average base salary of $20,000 USD. This capital-efficient model is supplemented with periodic travel to the US and Europe for crucial face-time with major customers.
On a $2M ARR, Dresma’s largest customer pays $500,000 annually, representing 25% of their total revenue. This validates that a pure usage-based pricing model, without seat-based or feature-gated upsells, can successfully land and expand large enterprise accounts, demonstrating a clear path to significant customer lifetime value.
Dresma, an AI imagery platform, found its most effective growth channel by partnering with photography studios. These studios do the initial product shoot, then use Dresma's AI for post-production, creating a powerful co-selling motion. This channel accounts for over half of their $2M ARR, highlighting a potent, non-obvious GTM strategy.
The AI company generated 30-35% of its new ARR over the past year using an efficient Account-Based Marketing (ABM) stack. They use Apollo for data sourcing, Clay for data enrichment, and Smart Leads for sequencing email and LinkedIn outreach, supplemented by a small in-house orchestration tool. This offers a concrete playbook for lean teams.