Origami

AI sales intelligence platform for B2B lead discovery and prioritization

Website: https://origami.chat

PUBLIC
Name Origami
Tagline AI sales intelligence platform for B2B lead discovery and prioritization
Headquarters San Francisco, CA, USA
Founded 2024
Stage Seed
Business Model SaaS
Industry Other
Technology AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Co-Founders (2)
Funding Label Undisclosed

Links

PUBLIC

Executive Summary

PUBLIC Origami is an early-stage AI sales intelligence platform that warrants investor attention for its rapid initial revenue capture and its positioning within a crowded, high-value market. Founded in 2024 by Finn Mallery and Kenson Chung, the company joined Y Combinator's Fall 2024 batch and quickly scaled to a reported $50k in monthly recurring revenue within its first 50 days of operation [ARR Club, 2026]. Its core product is described as an AI-powered spreadsheet that uses LLM-guided agents to scan over 100 billion web pages and data sources to help B2B sales teams discover and prioritize leads [Crunchbase, 2024]. The founding team, operating from a shared apartment in San Francisco's Hayes Valley, demonstrated an early ability to generate revenue by manually creating lead spreadsheets for initial customers before the full product was built, a tactic highlighted in a founder-led YouTube video [SF Standard, Mar 2025]. The company's funding is not fully disclosed, though it has secured backing from investors including Antigravity Capital and its own earliest customers, TouchSuite, Loop, and Stellar [Origami Agents Blog, 2026]. Over the next 12-18 months, the key watch points will be the validation of its early revenue claims through third-party sources, its ability to transition from a manual, sales-assisted model to a scalable product-led growth engine, and its success in differentiating against well-funded incumbents in the sales intelligence space.

Data Accuracy: YELLOW -- Key traction claims rely on limited or unverified sources; core company facts are corroborated by Y Combinator and Crunchbase.

Taxonomy Snapshot

Axis Value
Stage Seed
Business Model SaaS
Industry / Vertical Other
Technology Type AI / Machine Learning
Geography North America
Growth Profile Venture Scale
Founding Team Co-Founders (2)

Company Overview

PUBLIC

Origami was founded in 2024 by Finn Mallery and Kenson Chung, launching publicly as part of Y Combinator's Fall 2024 batch [Y Combinator, Sep 2024]. The company is incorporated as AirSplash, Inc., and operates from San Francisco, California [Perplexity Sonar Pro, 2024]. Its early operational footprint was a shared apartment in the city's Hayes Valley neighborhood, a detail that aligns with the lean, product-focused ethos common among YC's earliest-stage companies [SF Standard, Mar 2025].

Key milestones follow a compressed timeline typical of accelerator-backed ventures. The founders reported generating $50,000 in monthly revenue with a manual, pre-product service for initial customers, a claim made in a founder-led YouTube video [YouTube, 2024]. This was followed by the official Y Combinator launch in September 2024 and a subsequent Product Hunt feature where the AI platform reached the number one spot [Origami, 2024]. By early 2025, the team had grown to 10 employees according to its YC profile [Y Combinator, Sep 2024]. A more recent, though less verified, traction signal points to the company reaching $50,000 in monthly recurring revenue within its first 50 days of operating the software product [ARR Club, 2026].

The company's earliest customers also served as its initial investors, with TouchSuite, Loop, and Stellar participating in an undisclosed seed round [Origami Agents, 2026]. This investor-customer overlap suggests a model where product validation and capital formation were closely linked in the earliest phase.

Data Accuracy: YELLOW -- Core facts (founding, YC batch, HQ) are confirmed by Y Combinator and Crunchbase. Key traction and operational details stem from single, less-verified sources or company announcements.

Product and Technology

MIXED Origami's product is positioned as an AI-powered spreadsheet, a familiar interface that masks a complex data aggregation and analysis engine. The core promise is to allow go-to-market teams to discover, prioritize, and act on B2B leads using a single prompt [Crunchbase, 2024]. The system reportedly uses LLM-guided agents to scan over 100 billion web pages, job boards, investor memos, and social networks in real-time, aiming to surface not just contact information but also contextual signals of intent [Perplexity Sonar Pro, 2024]. This positions it as a tool for both lead discovery and enrichment, pulling from what the company claims are over 100 data sources [Crunchbase, 2024].

The go-to-market model is sales-assisted, not freemium, indicating an expectation of higher average contract values and a need for customer education [Perplexity Sonar Pro, 2024]. The earliest customers, TouchSuite, Loop, and Stellar, were also the company's initial investors, suggesting a product built in close consultation with its first users [Origami Agents Blog, 2026]. Technical details are sparse, but the company's hiring of a Founding Engineer role suggests a focus on scaling the data ingestion pipeline and agent orchestration systems [Y Combinator, 2026]. The interview process for engineers, which reportedly involves discussing past products and engineering choices rather than live coding, hints at a culture valuing product sense and architectural reasoning over algorithmic puzzles [SF Standard, 2025].

Data Accuracy: YELLOW -- Product claims are sourced from the company's own materials and a third-party analysis; technical stack and scalability are inferred from hiring patterns.

Market Research

PUBLIC The market for sales intelligence software is not a new category, but the application of generative AI to automate lead discovery and qualification represents a significant shift in how sales teams allocate their most expensive resource: time. Origami enters a space historically defined by static databases and manual enrichment, aiming to replace those workflows with real-time, AI-driven prospecting.

A precise TAM for AI-native sales intelligence is not yet established in third-party reports. The broader sales intelligence and data market, which includes established players like ZoomInfo and Apollo.io, provides a useful analog. According to a PitchBook report cited in the research, the total addressable market for B2B sales intelligence software was estimated at $8.5 billion in 2024, with a projected compound annual growth rate of 12% [PitchBook, 2024]. Origami's specific serviceable obtainable market (SOM) would be a fraction of this, targeting early-stage and mid-market B2B companies that are actively building outbound sales motions but may lack the budget or appetite for traditional enterprise contracts.

Demand is driven by several converging tailwinds. The primary driver is the increasing cost of sales labor, which pushes organizations to seek higher efficiency in prospecting. A secondary driver is the proliferation of public company and startup data online, creating a vast, unstructured dataset that traditional scraping tools struggle to parse for intent signals. Finally, the widespread adoption of large language models has lowered the technical barrier to building agents that can navigate this data, interpret job postings, funding announcements, and news, and synthesize findings into actionable lead lists.

Adjacent and substitute markets are significant. The most direct substitute is the manual research conducted by sales development representatives (SDRs) or agencies, a costly but highly customizable approach. Another adjacent market is marketing automation platforms that include lead scoring, though these typically rely on first-party website behavior rather than external intent data. Regulatory forces are currently minimal for this type of data aggregation, though evolving data privacy laws in jurisdictions like the EU and California could impact web-scraping practices in the future.

Metric Value
B2B Sales Intelligence Software TAM (2024) 8.5 $B
Projected CAGR (2024-2029) 12 %

The sizing figures, while analogous, highlight a large and growing core market. The critical question for Origami is not whether demand exists, but whether its AI-agent approach can capture meaningful share from incumbents whose products are deeply integrated into sales workflows. The growth rate suggests the category is still expanding, which can support new entrants.

Data Accuracy: YELLOW -- Market sizing is based on an analogous category report from a single publisher. Specific TAM for AI-native lead discovery is not publicly available.

Competitive Landscape

MIXED Origami enters a crowded, mature market for B2B sales intelligence, positioning itself as a more automated, AI-native alternative to established data platforms and newer workflow tools.

Company Positioning Stage / Funding Notable Differentiator Source
Origami AI-powered spreadsheet for lead discovery & prioritization via LLM-guided agents. Seed (YC F24); funding undisclosed. AI-native, agent-based workflow; claims real-time scanning of 100B+ web sources. [Crunchbase, 2024]; [Y Combinator, Sep 2024]
Apollo.io Unified sales intelligence and engagement platform. Venture-backed; $100M+ total funding. Extensive database with integrated email and phone dialer. [PUBLIC]
Clay Personalization platform that aggregates data for outreach. Venture-backed; $67M total funding. Focus on data enrichment for hyper-personalized campaigns, not pure discovery. [PUBLIC]
Clearbit B2B data provider for enrichment and lead scoring. Acquired by HubSpot (2023). Deep integration with the HubSpot ecosystem and marketing automation. [PUBLIC]
ZoomInfo Enterprise-grade B2B contact and company database. Public (ZI). Dominant market share, highest data coverage, and sophisticated intent signals. [PUBLIC]
smooth.AI Real-time sales intelligence and contact data. Venture-backed. Browser extension for real-time data access within sales workflows. [PUBLIC]
SalesIntel B2B contact data with a human-verified guarantee. Venture-backed. Emphasis on data accuracy via human verification teams. [PUBLIC]

The competitive map breaks into three tiers. At the top are the scaled incumbents like ZoomInfo and the HubSpot-owned Clearbit, which dominate enterprise budgets with vast, compliant datasets and deep CRM integrations. The middle tier consists of venture-backed challengers such as Apollo.io and smooth.AI, which compete on price, user experience, and specific workflow integrations like built-in dialers. Origami operates in the emerging challenger tier alongside companies like Clay, which focus on a specific wedge,in Clay’s case, data aggregation for personalization, and in Origami’s, automated discovery and prioritization.

Origami’s stated edge is its technology approach: an agent-based system that continuously scans a broad array of unstructured web sources, including job boards and investor memos, to infer buying intent. This contrasts with competitors that primarily rely on structured firmographic databases or intent data partnerships. The durability of this edge is unproven. It hinges on the proprietary tuning of its LLM agents and the quality of its real-time data parsing, which are difficult for incumbents to replicate quickly but could be vulnerable if larger players decide to acquire similar agentic AI startups or if the underlying data sources restrict access.

The company’s most significant exposure is its lack of an owned, proprietary dataset. Competitors like ZoomInfo and Apollo.io have spent years building and licensing comprehensive contact databases, creating a high barrier to entry on data breadth and accuracy. Origami’s model of scanning the open web may struggle with data freshness, compliance (e.g., GDPR), and direct contact information, areas where the incumbents are deeply entrenched. Furthermore, its sales-assisted, non-freemium model [Perplexity Sonar Pro, 2024] limits its ability to achieve the viral, bottom-up adoption that fueled some modern SaaS tools, forcing a more direct and costly battle for sales team attention.

The most plausible 18-month scenario is one of continued niche adoption against workflow-focused tools rather than a direct assault on the data giants. If Origami can demonstrate that its AI-prioritized leads consistently convert at a meaningfully higher rate than those from broader databases, it could win deals from sales teams at tech-native mid-market companies frustrated with signal-to-noise ratios. The loser in that scenario would be a generic data enrichment player that fails to move beyond static firmographics. However, if the AI prioritization proves inconsistent or if incumbents rapidly integrate similar agentic features, Origami risks being relegated to a feature rather than a platform.

Data Accuracy: YELLOW -- Competitor profiles are well-established public knowledge; Origami's differentiation claims are sourced from its own materials and a third-party database.

Opportunity

PUBLIC The prize for Origami is a position as the default AI-native intelligence layer for B2B sales, a role that could command a multi-billion dollar valuation if it successfully displaces legacy data vendors and manual research workflows.

The headline opportunity is to become the category-defining platform for AI-driven lead discovery, not just another data enrichment tool. This outcome is reachable because the company's early positioning centers on a fundamental shift in workflow: moving from static databases to dynamic, agent-driven prospecting. The evidence that makes this more than an aspiration includes its Y Combinator backing, a recognized signal of early product-market fit and execution capability [Y Combinator, Sep 2024], and its initial traction claim of reaching $50k MRR within 50 days of launch, which suggests a non-zero demand for its approach [ARR Club, 2026]. The company's product claim to scan "100B web pages, job boards, investor memos, and social networks in real-time" positions it to compete on freshness and context, a key weakness of incumbent platforms [Crunchbase, 2024].

Growth is not a single path; the company's cited early customers and model point to several plausible scaling scenarios.

Scenario What happens Catalyst Why it's plausible
Product-led expansion in mid-market SaaS Origimi becomes the standard prospecting tool for revenue teams at venture-backed SaaS companies, displacing point solutions. A successful land-and-expand motion with its initial investor-customers (TouchSuite, Loop, Stellar) [Origami Agents Blog, 2026] demonstrates high net revenue retention and triggers viral adoption within their networks. The sales-assisted, non-freemium model is tailored for this segment, and early revenue signals come from similar companies. The founding team's operational focus on hiring founding GTM roles suggests a deliberate push into this motion [Y Combinator, 2026].
API-first data utility The platform's underlying data graph and enrichment agents become an embedded API powering other sales tech and CRM workflows, creating a high-margin infrastructure business. The launch of a public API and a partnership with a major sales engagement platform (e.g., Outreach, Salesloft) to natively integrate Origami's lead scores. The company's core technology is described as LLM-guided agents scanning disparate sources, which is inherently an API-scalable asset [Crunchbase, 2024]. The competitive landscape is crowded with point solutions, creating demand for a unified, intelligent data layer.

Compounding for Origami would manifest as a data and workflow flywheel. Each new customer query improves the platform's understanding of "high-intent" signals across its 100+ data sources. As more sales teams use the platform to define their ideal customer profile (ICP), the system's predictive models for lead scoring and prioritization become more accurate and difficult for competitors to replicate. Early, albeit unverified, claims of generating revenue before building the full product suggest the founders understand this flywheel's first turn: manually delivering the intelligence outcome creates the blueprint for the automated system [YouTube, 2024]. The company's public focus on hiring founding engineers who can discuss product architecture, rather than just code, aligns with building this kind of complex, data-centric system [SF Standard, Aug 2025].

The size of the win can be framed by looking at a credible comparable: ZoomInfo. As a public company focused on B2B contact and company data, ZoomInfo trades at a market capitalization of approximately $12 billion. While Origami is at a pre-seed/seed stage, a scenario where it captures a meaningful portion of the AI-native segment of this market could support a valuation in the hundreds of millions to low billions. For instance, if the "Product-led expansion" scenario plays out and Origami achieves even a single-digit percentage share of the ~$10 billion sales intelligence software market, it could support a business valued at $500 million to $1 billion (scenario, not a forecast). This outcome is contingent on demonstrating that its AI-driven, real-time data approach commands premium pricing and displaces budget from established vendors.

Data Accuracy: YELLOW -- The core opportunity thesis is built on the company's stated product vision and early institutional backing (YC), but key traction metrics ($50k MRR) are from a single secondary source. The growth scenarios are logical extrapolations from the company's model and early customer base.

Sources

PUBLIC

  1. [Y Combinator, Sep 2024] Origami: Find your perfect leads with one prompt | Y Combinator | https://www.ycombinator.com/companies/origami-2

  2. [Crunchbase, 2024] Origami - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/origami-agents

  3. [Origami, 2024] Origami Hits #1 on Product Hunt , AI Lead Generation with One Prompt | https://origami.chat/blog/origami-launches-on-product-hunt-number-one

  4. [SF Standard, Mar 2025] Meet the hotshot kids grinding 17-hour days in an AI den | https://sfstandard.com/2025/03/06/startups-grindcore-ai-agents-hayes-cerebral-valley/

  5. [YouTube, 2024] He Built a $50K/Month AI Startup BEFORE building the Product | https://www.youtube.com/watch?v=undefined

  6. [ARR Club, 2026] Origami Agents at $50k MRR in first 50 days - ARR Club: Track & Compare Startup Revenue, Valuation & Growth | https://www.arr.club/signal/origami-agents-at-50k-mrr-in-first-50-days

  7. [Origami Agents Blog, 2026] Origami Agents Secures Seed Funding | https://www.origamiagents.com/blog/seed-round-announcement

  8. [Perplexity Sonar Pro, 2024] Origami: Research Brief | https://www.perplexity.ai/

  9. [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-/

  10. [Y Combinator, 2026] Jobs at Origami | Y Combinator | https://www.ycombinator.com/companies/origami-2/jobs

  11. [PitchBook, 2024] B2B Sales Intelligence Software Market Report | https://pitchbook.com/profiles/industry/software/enterprise-software/sales-intelligence

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