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]. It’s a classic, if unorthodox, wedge into a crowded market: prove the value with human effort, then build the AI to scale it.
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]. The goal is to answer not just who to sell to, but when and why intent is highest. For now, the company is forgoing a freemium model in favor of a sales-assisted approach, betting that high-touch onboarding can secure early enterprise footholds where self-serve tools might fail [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]. Those same clients later became investors, providing not just capital but a proof-of-concept for the underlying data service. The reported traction,$50,000 in monthly recurring revenue within the first 50 days,suggests a market hungry for more targeted intelligence than existing platforms provide [ARR Club, 2026]. The risk, of course, is that the transition from a service business to a scalable software product is a well-documented graveyard for startups.
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, who previously ran Stanford’s marketing club, handles the go-to-market and customer discovery [Perplexity Sonar Pro, 2024]. CTO Kenson Chung, a computer science graduate from University College London, 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]. Their hiring philosophy, as reported, leans heavily on product intuition over pure coding skill; technical interviews involve discussing products built and engineering choices made, rather than whiteboard algorithms [SF Standard, 2025].
| Role | Name | Background |
|---|---|---|
| Co-Founder, CEO | Finn Mallery | Previously ran Stanford's marketing club [Perplexity Sonar Pro, 2024] |
| Co-Founder, CTO | Kenson Chung | Studied Computer Science at UCL [LinkedIn, 2026] |
| Founding Team | Bram Lebovitz | Deployed Engineering Lead & Business Operations [LinkedIn, 2026] [RocketReach, 2026] |
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]. Its early, sales-assisted motion also sets it apart from the volume-driven, self-serve models of some rivals.
The company’s participation in Y Combinator’s Fall 2024 batch provides a crucial stamp of credibility and network access [Y Combinator, 2024]. While the precise size of its seed funding is undisclosed, investors include Antigravity Capital, Pioneer Fund, Y Combinator, and its own early customers [PitchBook, 2026]. The backing suggests investors are betting on the team’s ability to productize their manual service into a defensible AI platform.
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. Furthermore, the competitive landscape is not static. Larger players with vast data resources could quickly replicate any novel intent-signaling features Origami develops.
- Product transition risk. The core bet hinges on automating a currently manual service without losing the quality that attracted early customers. A misstep here could stall growth as the market waits for the promised platform.
- Data moat durability. The company’s differentiation rests on its proprietary data parsing and synthesis. If its 100+ data sources are easily replicable by well-resourced incumbents, the technical moat may prove shallow.
- Go-to-market scale. A sales-assisted model is costly and difficult to scale rapidly. The company’s recent job postings for founding GTM and sales roles indicate a recognition of this challenge [Y Combinator, 2026].
The company’s most plausible answer to these risks is its focused, high-touch start. By deeply understanding a few customers’ needs before building, the team aims to create a product that solves acute pain points better than any generic alternative. Success would mean moving upmarket from early adopters to larger enterprise sales teams, for whom a highly accurate, intent-driven tool could command a premium.
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. Another funding round to support hiring and go-to-market expansion seems a likely near-term step, given the company’s venture-scale profile and capital-intensive sales motion.
For sales development representatives and revenue operations managers, the standard of care today is a fragmented toolkit. It often involves stitching together a broad contact database like ZoomInfo with a separate enrichment tool like Clearbit, and then manually scouring LinkedIn and news alerts for intent signals. The process is time-consuming, often outdated, and leaves critical timing to chance. Origami is betting that by unifying discovery, enrichment, and intent-scoring into a single, AI-driven interface, it can own a new category: not just a list of contacts, but a system for knowing precisely when to reach out.
Sources
- [Y Combinator, Sep 2024] Origami: Find your perfect leads with one prompt | https://www.ycombinator.com/companies/origami-2
- [Crunchbase, 2024] Origami - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/origami-agents
- [YouTube, 2024] He Built a $50K/Month AI Startup BEFORE building the Product | https://www.youtube.com/watch?v=undefined
- [LinkedIn, 2026] Kenson Chung - Co-Founder - Origami Agents (YC F24) | https://www.linkedin.com/in/kenson-chung-837849230/
- [LinkedIn, 2026] Bram Lebovitz - Founding Business Operations at Origami Agents (YC F24) | https://www.linkedin.com/in/bram-lebovitz
- [RocketReach, 2026] Bram Lebovitz - Founding Team | Deployed Engineering Lead at Origami | https://rocketreach.co/bram-lebovitz-email_undefined
- [SF Standard, Aug 2025] ‘The hot girl at the club’: How founding engineers became Silicon Valley’s biggest catch | https://sfstandard.com/2025/08/14/founders-engineers-startups-silicon-valley-hiring-big-tech-/
- [Origami Agents Blog, 2026] Origami Agents Secures Seed Funding | https://www.origamiagents.com/blog/seed-round-announcement
- [ARR Club, 2026] Origami Agents at $50k MRR in first 50 days | https://www.arr.club/signal/origami-agents-at-50k-mrr-in-first-50-days
- [PitchBook, 2026] Origami Agents 2026 Company Profile: Valuation, Funding & Investors | https://pitchbook.com/profiles/company/708168-16
- [Y Combinator, 2026] Jobs at Origami | https://www.ycombinator.com/companies/origami-2/jobs