The first customer for a new AI tool is often the hardest to find. For Origami, a sales intelligence startup founded in 2024, the first customers were also the first investors. The company, which operates out of a shared apartment in San Francisco’s Hayes Valley, began by manually creating spreadsheets for a handful of early clients, a process that reportedly generated $50,000 in monthly revenue before the core product was fully automated [YouTube, 2024].
Origami’s pitch is straightforward. It promises to act as an AI-powered spreadsheet that helps go-to-market teams discover and enrich ideal customer profiles by scanning over 100 billion web pages, job boards, and social signals [Crunchbase, 2024]. For now, the company is forgoing a freemium model in favor of a sales-assisted approach [Perplexity Sonar Pro, 2024].
A wedge of manual work
This initial reliance on manual service is the company’s most distinctive strategic choice. Co-founders Finn Mallery and Kenson Chung reportedly built the first version of their business by hand, researching and compiling lead lists for clients like TouchSuite, Loop, and Stellar [Origami Agents Blog, 2026]. The reported traction, $50,000 in monthly recurring revenue within the first 50 days, suggests a market hungry for more targeted intelligence [ARR Club, 2026].
The team betting on a new search
The founding team reflects the blend of commercial and technical instincts needed for such a pivot. CEO Finn Mallery handles the go-to-market and customer discovery [Perplexity Sonar Pro, 2024]. CTO Kenson Chung leads the technical build [LinkedIn, 2026]. They are joined by Bram Lebovitz, listed as a founding team member focused on deployed engineering and business operations [LinkedIn, 2026] [RocketReach, 2026].
| Role | Name | Background |
|---|---|---|
| Co-Founder, CEO | Finn Mallery | Previously ran Stanford's marketing club |
| Co-Founder, CTO | Kenson Chung | Studied Computer Science at UCL |
| Founding Team | Bram Lebovitz | Deployed Engineering Lead & Business Operations |
Navigating a crowded field
The sales intelligence and lead generation software market is densely populated with well-funded incumbents. Origami’s stated competitors include Apollo.io, Clay, Clearbit, ZoomInfo, smooth.AI, and SalesIntel. To differentiate, Origami is positioning its AI not as a broader database, but as a more precise intent-finding engine. The company claims its LLM-guided agents parse real-time signals from investor memos, job postings, and news to surface timing context competitors might miss [Perplexity Sonar Pro, 2024].
The risks on the roadmap
For all its early momentum, Origami faces significant headwinds. The primary challenge is the productization gap. The reported $50,000 MRR is tied to a service model; the company must now deliver a software product that retains those customers at a comparable price point without the same level of human labor.
- Product transition risk. The core bet hinges on automating a currently manual service without losing the quality that attracted early customers.
- Data moat durability. The company’s differentiation rests on its proprietary data parsing and synthesis.
- Go-to-market scale. A sales-assisted model is costly and difficult to scale rapidly.
The next twelve months
The coming year will be decisive for Origami. The key milestones are clear: shipping a fully automated version of its AI agents to its existing customer base, proving that those customers renew on the strength of the software alone, and landing its first few flagship enterprise accounts outside its investor circle.