In a significant development within the realm of talent acquisition, Findem, a Redwood City-based startup, has successfully secured $51 million in new funding, which includes a substantial $36 million Series C round led by Silver Lake Waterman (SLW) and an additional $15 million in growth financing from JP Morgan. This latest funding round elevates Findem’s total capital raised since its inception in 2019 to an impressive $105 million, with $90 million of that amount being equity.
Findem’s mission is clear: to transform the way businesses identify, attract, and engage top talent. In today’s competitive hiring landscape, the ability to discover exceptional candidates who may not be actively seeking new opportunities is invaluable. As companies increasingly turn to artificial intelligence (AI) for assistance in talent acquisition and management, Findem stands out with its innovative approach, leveraging what it refers to as “3D talent data.”
The concept of 3D talent data is central to Findem’s operations. The company has developed a dataset comprising 1.6 trillion data points, which it combines with AI technology to automate key aspects of the talent lifecycle. These aspects include building “top-of-funnel” pipelines of interested candidates, conducting executive searches, and analyzing workforce and labor markets. By utilizing this extensive dataset, Findem aims to provide businesses with a comprehensive view of potential candidates, enabling them to make informed hiring decisions.
In an exclusive interview with Crunchbase News, Findem’s co-founder and CEO, Hari Kolam, shared insights into the company’s remarkable growth trajectory. Over the past year, Findem has experienced a staggering 100-fold increase in its user base, alongside a threefold year-over-year revenue growth. The enterprise customer base has also tripled during this period, reflecting the growing demand for Findem’s services. Currently, the platform boasts over 12,000 users, including notable clients such as Adobe, Box, Medallia, Nutanix, and RingCentral.
Findem operates under a Software as a Service (SaaS) business model, charging clients on a per-seat basis. However, as the company continues to expand its capabilities, it plans to introduce an outcome-based pricing model in the future. Despite its rapid growth, Findem has yet to achieve profitability, a common scenario for many startups in the tech sector as they prioritize scaling their operations.
The recent funding round is indicative of a broader trend in the HR technology space, where numerous startups at the intersection of AI and recruitment have raised significant venture capital in 2025. According to Crunchbase data, global startup investment in the HR, recruitment, and employment categories has reached approximately $2.3 billion as of early September, signaling strong investor interest in reshaping the hiring landscape.
What sets Findem apart from its competitors is its unique approach to data collection and analysis. The platform utilizes a combination of people and company data over time, creating a format suitable for AI analysis. This “continuously enhanced” 3D dataset is described as “exponentially larger and more factual” than traditional sources of candidate data, providing businesses with deep insights and automated workflows.
Findem’s software allows companies to filter candidates based on highly specific attributes. For instance, if a startup is looking to hire a software engineer who has been with a company from its early days until it raised a Series C funding round, or if they seek competitive coders who have successfully exited a startup, Findem’s platform can facilitate these precise searches. This level of specificity is made possible through the enriched profiles that Findem creates for each candidate, offering a detailed and factual view of their professional journey and impact.
The data that fuels Findem’s platform is sourced from over 100,000 different channels, chronologically gathered to provide a comprehensive overview of candidates’ careers. These sources include LinkedIn, GitHub, Doximity, WordPress, personal websites, the U.S. Census Bureau, company funding announcements, IPO details, business models, patents, publications, open datasets, machine learning projects, and open-source code repositories. Additionally, Findem integrates applicant profile information from various applicant tracking systems, such as Workday, BambooHR, Bullhorn, Greenhouse, Jobvite, and Lever.
This extensive data collection process is what distinguishes Findem from other hiring tools that often rely on one-dimensional data from resumes or LinkedIn profiles. Kolam argues that such limited data provides only a snapshot of a candidate’s career without the context necessary to reveal their true potential. He emphasizes that understanding a candidate’s qualifications requires more than just reviewing a resume; it necessitates a comprehensive analysis of their professional history and achievements.
Findem’s primary focus is on North American customers, although the company is actively expanding its presence in Europe. To support its international growth, Findem has established a second headquarters in Bangalore, India. This strategic move allows the company to tap into the diverse talent pool available in India while catering to the needs of its global clientele.
Despite the challenges posed by the competitive hiring landscape, Findem’s recent funding round reflects a significant vote of confidence from investors. Shawn O’Neill, managing partner at SLW, noted that the firm’s interest in Findem was not solely driven by its technology but also by the company’s impressive traction in the market. O’Neill highlighted the strong commercial momentum that Findem has achieved while addressing one of the most persistent challenges in HR: connecting data, insight, and human potential in a manner that drives tangible business outcomes.
The technology underpinning Findem’s platform is indeed impressive. O’Neill pointed out that Findem’s main differentiator lies in its “data advantage” within a market where many companies are merely layering large language models (LLMs) on top of limited datasets. The depth and breadth of Findem’s 3D profiles and web-scale dataset set it apart from competitors, making it easier for businesses to find and understand potential hires.
As Findem continues to innovate and expand its offerings, the company remains committed to enhancing the hiring process for businesses across various industries. The integration of AI and advanced data analytics into talent acquisition represents a paradigm shift in how organizations approach recruitment. By harnessing the power of technology, Findem aims to streamline the hiring process, reduce time-to-hire, and ultimately improve the quality of hires.
In conclusion, Findem’s recent funding round marks a pivotal moment for the startup as it seeks to revolutionize the talent acquisition landscape. With its innovative use of AI and 3D talent data, Findem is well-positioned to address the evolving needs of businesses in a competitive hiring environment. As the company expands its reach and continues to refine its platform, it will undoubtedly play a crucial role in shaping the future of recruitment and talent management. The ongoing investment in HR technology and AI-powered recruitment solutions underscores the growing recognition of the importance of data-driven decision-making in the hiring process. As Findem forges ahead, it will be exciting to see how its advancements contribute to the broader transformation of the job market and the way organizations connect with top talent.