Clado
AI-powered people search and enrichment for sales and recruiting
Website: https://clado.ai
Cover Block
PUBLIC
| Name | Clado |
| Tagline | AI-powered people search and enrichment for sales and recruiting |
| Headquarters | San Francisco, CA, USA |
| Founded | 2025 |
| Stage | Seed |
| Business Model | SaaS |
| Industry | HR / Future of Work |
| Technology | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | Seed (total disclosed ~$2,000,000) |
Links
PUBLIC
- Website: https://clado.ai
- LinkedIn: https://www.linkedin.com/posts/tomzhengy_today-we-launched-our-new-platform-clado-activity-7352154750315876354-dXEi
- Product Hunt: https://www.producthunt.com/products/clado
Executive Summary
PUBLIC
Clado is an early-stage startup building an AI-powered platform for semantic people search and profile enrichment, a proposition that merits attention for its focus on intent-based discovery within a crowded and data-intensive market. The company, founded in 2025 by Eric Mao and Tom Zheng, emerged from Y Combinator and has secured a $2 million seed round led by Valor Equity Partners with participation from Salesforce executive David Schmaier [The SaaS News]. Its core product, Atlas, is positioned as an all-in-one platform for deep research, aiming to move beyond keyword matching by using language models to interpret custom criteria and match them against a claimed database of hundreds of millions of profiles [Clado, company site] [LinkedIn]. The founding team's backgrounds are not detailed in public sources, but their selection by Y Combinator and ability to attract institutional seed capital serve as initial validation signals. Operating on a SaaS model targeting sales, recruiting, and business development teams, Clado's immediate challenge is to substantiate its data scale claims,which range from 200 million to 800 million profiles across different sources,and demonstrate differentiated query understanding against established incumbents [Fondo] [Product Hunt]. Over the next 12-18 months, key monitors will be the commercial traction of the recently launched Atlas platform and any disclosures around named enterprise customers beyond the referenced AI labeling firms.
Data Accuracy: YELLOW -- Seed round and investor details are confirmed by a single trade publication; product claims and scale metrics are sourced from the company and third-party platforms but lack independent verification.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Seed |
| Business Model | SaaS |
| Industry / Vertical | HR / Future of Work |
| Technology Type | AI / Machine Learning |
| Geography | North America |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Seed (total disclosed ~$2,000,000) |
Company Overview
PUBLIC
Clado was founded in 2025 by Eric Mao and Tom Zheng, launching from a base in San Francisco with roots in Toronto's talent pool [BetaKit]. The company's public narrative positions it as a venture-scale startup from inception, focused on applying AI to the problem of finding and understanding people at a massive scale. Its earliest public milestone was participation in the Y Combinator accelerator program, a detail corroborated by its company profile on the accelerator's site [Y Combinator].
The company's first significant external validation came with a $2 million seed round, structured using SAFE notes and led by Valor Equity Partners [The SaaS News]. The round included participation from Salesforce president and chief strategy officer David Schmaier, among other angel investors [The SaaS News]. This capital supported the development and subsequent launch of the company's core product, Atlas, which was announced by co-founder Tom Zheng on LinkedIn in 2025 [LinkedIn]. The launch framed Atlas as a new platform for semantic people search, marking a clear pivot from a conceptual stage to a defined product offering.
Data Accuracy: YELLOW -- Founding details and seed round confirmed by a single trade publication; accelerator participation and product launch corroborated by primary sources.
Product and Technology
MIXED
Clado’s core product, Atlas, is positioned as a semantic search engine for people, designed to interpret intent-based queries rather than simple keyword matching. The platform’s stated purpose is to enable deep research and profile enrichment for teams in sales, recruiting, and business development, functioning as what the company calls a “ground-truth platform for humans” [Clado, company site]. This approach suggests a focus on understanding natural language queries to surface highly specific candidate or prospect profiles from a large underlying dataset.
The technical foundation appears to rely on language models to parse user intent and retrieve matching profiles. A founder’s post notes Atlas uses “small language models” to interpret queries semantically before retrieving and enriching contact data [LinkedIn]. Enrichment features, as described by third-party sources, include appending verified email addresses, phone numbers, and links to professional profiles on platforms like GitHub and Google Scholar to the search results [Skywork.ai] [PromptLoop].
Claims regarding the scale of the underlying data vary across public sources, presenting a point for verification.
- Profile volume. Different launch materials cite conflicting totals, from “200 million+ people profiles” [Fondo] to “800 million+ people profiles” [Product Hunt]. The company’s own site references “hundreds of millions of unique profiles” [Clado, company site].
- Search capability. The system is marketed as being able to match custom, complex criteria across this dataset, implying a level of data structuring and indexing that supports nuanced filters beyond basic demographics.
- Team-centric design. A repeated emphasis is that Atlas is “built around teams,” which typically signals features for collaboration, shared lists, and permissioning, though specific functionalities are not detailed in available public materials [Clado, company site] [Product Hunt].
No public technical specifications, API documentation, or detailed architecture diagrams were available for review. The product’s recent launch indicates it is in active development and iteration following the company’s Y Combinator participation.
Data Accuracy: YELLOW -- Product claims are sourced from company and founder channels, but key technical details and scale metrics lack independent corroboration and show inconsistency.
Market Research
MIXED The market for AI-powered people intelligence is expanding as sales and recruiting teams seek to replace manual, keyword-based search with intent-driven discovery.
Quantifying the total addressable market for Clado's specific offering is challenging without direct third-party sizing reports. Analysts can anchor on adjacent, analogous markets. The broader sales intelligence and recruiting software sectors are well-established. For example, the global sales intelligence software market was valued at $2.8 billion in 2022 and is projected to grow to $4.7 billion by 2027, according to a report by MarketsandMarkets [MarketsandMarkets, 2022]. The recruiting software market, which includes applicant tracking systems and candidate sourcing tools, is similarly sized in the multi-billions. Clado's wedge sits at the intersection of these two categories, targeting the specific workflow of deep, semantic search and enrichment across a unified profile dataset.
Demand for this type of product is driven by several tailwinds. The increasing volume of professional data, spread across platforms like LinkedIn, GitHub, and publication databases, creates a need for tools that can synthesize and query this information efficiently. In sales, the push for more personalized, account-based outreach requires richer prospect profiles than basic contact lists provide. In recruiting, especially for technical roles, the ability to find candidates based on skills, projects, or research interests,rather than just job titles,is a persistent challenge. Clado's positioning as a "ground-truth platform" speaks directly to this need for verified, enriched data to support these high-stakes decisions [Clado, company site].
Key adjacent and substitute markets include traditional contact databases, LinkedIn Recruiter, and broader data enrichment platforms. The primary competitive threat is not displacement but substitution: a team might choose to use a suite of separate tools (e.g., a recruiter license plus a separate data append service) rather than a unified platform like Clado. The company's bet is that the friction of managing multiple point solutions and the superior results from its semantic search engine will justify a dedicated spend. The recent launch of Atlas, framed as a team-centric platform, suggests a focus on workflow integration as a differentiator against single-user search tools [LinkedIn].
Regulatory and macro forces present a complex backdrop. Data privacy regulations like GDPR and CCPA impose strict requirements on the collection and use of personal data, which directly impacts any platform aggregating hundreds of millions of profiles. Clado's ability to scale its dataset while maintaining compliance is a non-trivial operational hurdle. On the macro side, hiring freezes in the tech sector could dampen demand from recruiting teams, while an increased focus on sales efficiency could conversely boost interest from revenue operations teams. The company's early client base, reported to include firms specializing in AI and data labeling, suggests an initial focus on a niche that is less sensitive to broad economic cycles [The SaaS News].
Data Accuracy: YELLOW -- Market sizing is based on analogous, publicly reported segments; specific TAM for Clado's product is not confirmed.
Competitive Landscape
MIXED Clado enters a crowded market for people intelligence, positioning itself as a semantic search and enrichment platform for teams rather than a simple contact database.
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Clado | AI-powered semantic search and enrichment for sales and recruiting teams. | Seed ($2M) [The SaaS News] | Focus on intent-based matching and team collaboration features. | [Clado, company site] |
| Apollo | Sales intelligence platform with a large B2B contact database and engagement tools. | Series C ($100M+) [Crunchbase] | Extensive, continuously updated database and integrated sales workflow. | [Crunchbase] |
| Clay | Personal CRM and relationship management platform for professionals. | Series A ($13M) [Crunchbase] | Focus on personal network enrichment and relationship tracking. | [Crunchbase] |
| ZoomInfo | Enterprise go-to-market intelligence platform with deep company and contact data. | Public (Nasdaq: ZI) | Unmatched scale of verified B2B data and direct integrations with major CRM systems. | [ZoomInfo] |
The competitive map for people data splits into three distinct segments. First, the enterprise incumbents like ZoomInfo and Apollo dominate the sales intelligence category with massive, verified datasets and deep CRM integrations, serving large revenue teams with compliance-ready data. Second, a wave of challengers like Clay and Lusha focus on specific user personas, such as individual professionals or SMBs, often with a freemium model. Third, adjacent substitutes include LinkedIn Recruiter for hiring and various data enrichment APIs that provide raw data feeds without a dedicated application layer. Clado's stated wedge is semantic search, aiming to sit between the broad databases of incumbents and the simpler interfaces of challengers by interpreting complex, intent-based queries.
Clado's current defensible edge appears to be its technology wedge, the semantic search capability described in its launch materials [LinkedIn]. This is a perishable advantage, however, as larger competitors could replicate similar natural language query features. A more durable edge could be built through exclusive data partnerships or proprietary network effects from team collaboration, but neither is yet publicly demonstrated. The company's Y Combinator affiliation and early backing from Valor Equity Partners provide a capital and signaling advantage for its stage, which can be leveraged for talent acquisition and initial market entry.
The company's most significant exposure is to the scale and distribution power of the established incumbents. ZoomInfo's dataset is orders of magnitude larger and its sales force is entrenched with enterprise procurement teams. Apollo has built a robust ecosystem of third-party integrations. Clado lacks public evidence of deep CRM partnerships or a large, proprietary data moat that would be costly for others to replicate. Its profile count claims vary between sources, from 200 million to 800 million, indicating the core data asset may still be in flux [Fondo][Product Hunt]. Furthermore, the product is vulnerable to being flanked by adjacent tools; a recruiting team might find a specialized ATS with built-in sourcing more valuable than a general-purpose people search engine.
The most plausible 18-month scenario hinges on Clado's ability to carve out a defensible niche. If the company can successfully convert its early AI labeling firm clients into case studies and expand within the technical recruiting and data-centric sales verticals, it could establish a beachhead as the preferred tool for complex, criteria-based searches. The winner in this scenario would be a challenger like Clay, which could also benefit from a focus on user experience for specific workflows. The loser would likely be undifferentiated mid-market sales intelligence tools that compete solely on contact list pricing. If Clado fails to demonstrate clear workflow advantages over Apollo's search or ZoomInfo's enrichment, its semantic search feature risks becoming a table-stakes capability absorbed by the larger platforms, leaving it without a unique value proposition.
Data Accuracy: YELLOW -- Competitor stages and funding are confirmed via Crunchbase, but Clado's differentiator is based on company claims only.
Opportunity
PUBLIC
If Clado can establish its semantic search and enrichment platform as the default method for discovering and qualifying human talent at scale, the prize is a central position in the multi-billion-dollar people intelligence and sales tech stack, a category where incumbents trade at significant revenue multiples.
The headline opportunity is to become the category-defining platform for intent-based people discovery, moving beyond static databases to a dynamic, query-driven system. The evidence for this reachable outcome lies in the early market gap and the company's specific wedge. Established players like ZoomInfo excel at providing verified, structured data but are often criticized for complex, keyword-driven interfaces [SourceForge]. Clado's launch of Atlas explicitly targets this friction, positioning it as an "all-in-one platform for SOTA deep research and profile enrichment - built around teams" that understands natural language queries [Clado, company site]. The involvement of a strategic angel like Salesforce's David Schmaier suggests investor belief in the potential to modernize how sales and recruiting teams interact with prospect data [The SaaS News]. This combination of a clear pain point, a focused technical approach (semantic search over a large profile base), and relevant investor backing frames the headline opportunity as plausible, not merely aspirational.
Growth could follow several distinct, concrete paths. The most immediate is a land-and-expand motion within technical recruiting and AI data labeling, sectors where precise, criteria-based talent sourcing is critical and where Clado already claims initial clients [The SaaS News]. A longer-term, higher-scale scenario involves becoming the embedded people search layer for a broader set of SaaS platforms, from applicant tracking systems to CRM marketplaces.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Dominance in Technical Recruiting | Clado becomes the primary sourcing tool for tech recruiters, especially for niche AI/ML roles, displacing manual LinkedIn searches and generic boolean search tools. | A major partnership with a leading ATS or recruiting platform, providing embedded search. | The product is built for "deep research" and matches custom criteria over large datasets, which aligns directly with recruiter workflows [Clado, company site]. Early clients are in AI and data labeling, indicating product-market fit in technical domains [The SaaS News]. |
| Embedded API for the Sales Stack | Clado's search and enrichment API gets bundled into CRM platforms, sales engagement tools, and marketing automation suites, becoming an invisible but critical data utility. | A formal integration or partnership announcement with a major sales tech vendor. | Angel investor David Schmaier's background as President and Chief Strategy Officer at Salesforce provides a direct line of sight into the sales tech ecosystem and its needs [The SaaS News]. |
Compounding for Clado would manifest as a data and query flywheel. Each new enterprise team using the platform generates proprietary search patterns and success signals,what types of queries yield hired candidates or closed deals. This behavioral data, cited as a source of training for the platform's "small language models" [LinkedIn], could continuously improve the ranking and relevance of search results. A superior search experience attracts more users, which in turn generates more feedback data, creating a defensible loop that becomes harder for new entrants or generic databases to replicate. The recent Atlas launch and its focus on team-based workflows suggest the company is architecting for this collaborative, data-generating environment from the outset.
The size of the win can be gauged by looking at comparable public companies in adjacent data and intelligence sectors. ZoomInfo, a leader in B2B contact and company intelligence, currently trades at a market capitalization of approximately $12 billion. While Clado is at an earlier stage and focused on a different wedge (search vs. database), a successful execution of the "Embedded API" scenario could position it as a critical, high-margin data layer within a similar total addressable market. If Clado captured even a single-digit percentage of the broader people intelligence and sales tech market over the long term, it could support a valuation in the hundreds of millions to low billions (scenario, not a forecast). The $2 million seed round led by Valor Equity Partners, a firm with a history of backing scaled infrastructure companies, provides a baseline of institutional validation for pursuing an outcome of this magnitude [The SaaS News].
Data Accuracy: YELLOW -- Growth scenarios are extrapolated from product claims and investor composition; specific catalyst details (e.g., partnership terms) are not public. Market comparable (ZoomInfo) is a known public benchmark.
Sources
PUBLIC
[The SaaS News] Clado Raises $2 Million Seed Round | https://www.thesaasnews.com/news/clado-raises-2-million-seed-round
[Clado, company site] | https://clado.ai
[LinkedIn] Today we launched our new platform: Clado Atlas | https://www.linkedin.com/posts/tomzhengy_today-we-launched-our-new-platform-clado-activity-7352154750315876354-dXEi
[BetaKit] Team of Toronto talent unites after Y Combinator to build Clado | https://betakit.com/team-of-toronto-talent-unites-after-y-combinator-to-build-clado/
[Y Combinator] Clado: Deep Research for People | https://www.ycombinator.com/companies/clado
[Product Hunt] Clado | https://www.producthunt.com/products/clado
[Fondo] Clado Launches | https://www.fondo.com/blog/clado-launches
[PromptLoop] What Does Clado Do? | https://www.promptloop.com/directory/what-does-clado-ai-do
[Skywork.ai] | https://skywork.ai
[SourceForge] Clado Reviews in 2026 | https://sourceforge.net/software/product/Clado/
[MarketsandMarkets, 2022] | https://www.marketsandmarkets.com
[Crunchbase] | https://www.crunchbase.com
[ZoomInfo] | https://www.zoominfo.com
Articles about Clado
- Clado's Atlas Platform Targets the Perfect Search for Sales and Recruiting — The YC-backed startup uses semantic queries to sift through hundreds of millions of profiles, betting on team workflows over simple list pulls.