Participated · Series C · Oct 2025

Findem’s platform converts millions of proprietary, expert-labeled attributes into more than 800 million “3D profiles,” allowing recruiting teams to identify candidates based on validated success signals rather than surface-level résumé data. The solution unifies multichannel sourcing, CRM, and analytics, letting talent acquisition (TA) teams streamline workflows and focus on higher-quality candidates. Introduced in 2020, its data-labeling engine underpins domain-specific AI that predicts which candidates will thrive in particular roles, teams, and cultures. Over the past year the company posted 3× year-over-year growth, earned a top-10 % ranking on the Inc. 5000, and was named one of America’s most innovative companies by Fortune and Fast Company. Customers such as RingCentral and Nutanix use Findem to build continuous pipelines of diverse, high-impact talent. With the new funding, Findem intends to expand its dataset, accelerate development of agentic AI workflows, and scale go-to-market efforts worldwide. The latest raise brings the company’s total funding to $105 million, positioning it for continued global expansion.

Participated · Series A · May 2025

EdgeRunner AI offers a Generative AI platform that runs occupation- and mission-specific AI agents locally on air-gapped devices for military and enterprise users. The platform uses multiple open-source LLMs optimized for on-device execution (AI PCs and edge devices) and provides chat, Q&A, summarization, translation, transcription, code generation, multi-document RAG, text-to-speech/speech-to-text, and tool integrations (Outlook, Google Workspace, Slack). It also includes occupation-specific adapters for military personas (logistics, maintenance, acquisitions) to produce more relevant responses in Denied, Disrupted, Intermittent, and Limited (DDIL) environments. Running locally improves energy efficiency, cost, data privacy, security, and reliability without internet connectivity. EdgeRunner has a CRADA with the U.S. Air Force Research Laboratory to develop agents tailored to Air Force occupational specialties and was designated an “Awardable” vendor on the DoD CDAO Tradewinds Solutions Marketplace. The company was named to CB Insights’ AI 100 for 2025 and will use new capital to grow its team and invest in product development. The company is headquartered in Seattle. EdgeRunner AI is a Seattle-based startup building Generative AI optimized for edge deployment. The company develops small, task-specific Ultra-Efficient Language Models (UELMs) and an accompanying platform that can run on any chip or device without internet connectivity. EdgeRunner emphasizes full transparency of models, including weights, code, architecture, and datasets, to address bias, usability, and safety concerns. Its technology targets hyper-personalized, domain-specific use cases for enterprises and government customers. Local execution of its models is positioned to improve performance, increase data privacy, deliver near-zero latency, reduce power consumption, and support sustainability. EdgeRunner launched from stealth and is using funding to build its platform and pursue partnerships; it is backed by a $5.5 million seed round led by Four Rivers Group with participation from Madrona Ventures and strategic angels.

Participated · Series C · Oct 2023

Censys delivers a global map of Internet infrastructure and sells Internet intelligence and insights for attack surface management, threat hunting, and proactive incident response. The company recently launched an Internet intelligence platform and is positioning that platform as the foundation for AI-driven security workflows. Censys said it is trusted by more than 300,000 security practitioners and used by enterprises, governments, and critical infrastructure providers, including organizations representing over 50% of the Fortune 500. The company is headquartered in Ann Arbor, Michigan. Censys’s CEO, Zakir Durumeric, framed the firm’s strategy around making AI actionable at global scale and accelerating innovation. Its current financial position was strengthened by the announced $40 million Series D and $30 million debt financing to support product development and global expansion.

Led · Series B · Apr 2023

ClimateAi operates an AI-driven climate resilience platform that combines advanced machine learning with data from multiple sources to generate actionable weather, climate, and water insights. The platform helps companies and governments minimize near- and long-term climate risk across operations, sourcing and supply chain, risk management, asset diligence and portfolio management, demand planning, sales and marketing, and sustainability/TCFD reporting. It can identify new locations for climate-smart expansions, assess investment portfolios for climate and water risks, improve inventory management, and forecast pest or disease pressures to inform sourcing strategy. Customers include processors and packers, seed and chemical input companies, financial institutions, manufacturers, and policymakers. The company is led by CEO Himanshu Gupta and is based in San Francisco, CA. ClimateAi recently raised a $22M Series B (bringing total funding to $38M) and plans to use proceeds to expand into India, Japan, and low-income countries in the Global South and to grow its team. ClimateAI offers an enterprise climate planning platform that leverages proprietary AI modeling to produce weather and climate predictions and convert them into business impact. The platform quantifies climate impacts and provides business-specific insights intended to reduce risk and create new value for customers. ClimateAI focuses on helping companies better manage climate risk and design and protect global supply chains. The company said it will use funding to deploy across half a billion acres of farmland globally within the next three years. It also plans to expand its platform to support solutions across other industry supply chains. Headquartered in San Francisco, ClimateAI has positioned its product for large-scale enterprise adoption across agriculture and supply-chain applications.

Participated · Series C · Aug 2022

Truework provides an income and employment verification product that integrates with third‑party services such as payroll providers, allowing lenders and mortgage providers to verify users and approve loans directly inside their applications. The product is also used by landlords and prospective employers for background and income checks. Truework announced a strategic partnership with TransUnion that will allow TransUnion customers to access both credit and income data via a single API. That partnership is intended to expand distribution into new verticals and use cases, including property management and credit card applications. Financially, Truework closed a $50 million Series C roughly ten months before this announcement and has now received an additional equity investment tied to the TransUnion partnership. The company says the combined offering will make it easier for lenders and other customers to obtain both data sets from one vendor. Truework provides APIs that enable mortgage, automotive, personal loan and student financing lenders to verify income and employment instantly by integrating with payroll providers such as Gusto, Zenefits and BambooHR. The company also supports background checks for employers and staffing firms. Truework estimates it will power more than 12 million income and employment verifications this year. It recently launched Truework Documents, a tool that converts uploaded physical documents into structured data to aid fraud assessment. The business says demand for automated verifications is rising despite uneven mortgage market activity. After raising $50 million in its latest round, Truework plans to bolster product development and increase headcount. Truework offers a platform and API that lets employers enable employees to consent to share verified employment and salary details with banks, landlords, and other verifiers. When a third party requests verification, Truework notifies the individual via email or text to approve or deny the request. The company charges larger enterprises and verifiers for access while offering the product free to small-business employers. Truework says it uses ISO27001 and SOC2 Type 1 & 2 protections and does store users’ data. It reports 20,000 small-business customers, about 100 enterprise customers, and roughly 40,000 verifiers (up from about 25,000 verifiers at the end of 2019). The startup plans to expand the types of identity details it shares via its own services and third-party partnerships and to enable profile updates regardless of an employee’s current employer. Truework builds a network for verified identity that initially focuses on employment and income data used by lending and housing markets. Its platform digitizes verification for HR departments, banks, and other parties to make income and employment checks faster and more secure. The company serves over 3,000 financial institutions and has verified income data on more than $2 billion of home loans. Truework's network includes hundreds of employers such as The College Board, Oscar Health, InVision, and Tuft & Needle. The company plans to use new funding to scale product and engineering teams and to expand the scope of its identity platform for consumer and enterprise users. Truework was founded in 2017 and is based in San Francisco, CA. Truework offers a platform that changes how sensitive information is verified during loan applications, home purchases, and employment screenings. The company is based in San Francisco, CA. Truework recently raised a $2.9M seed round. The round was led by Keith Rabois of Khosla Ventures. Other participants included Founder Collective, Menlo Ventures, Crunchfund and many other investors. The articles describe the company as refocusing verification processes for those transactions.