Led · Series B · Aug 2026

Multiplier Holdings acquires established, niche professional-services firms that retain their names and leadership while gaining long-term capital, shared infrastructure and custom AI tools. The company embeds a team of more than 30 technologists inside its firms to identify and build AI-driven workflows that reduce manual work and expand practitioner capacity. Multiplier is structured as a permanent holding company rather than a short-term acquirer, and founders and leadership teams remain with their firms after acquisition. To date it has acquired eight firms, completed five acquisitions in the past year, has four additional firms under signed term sheets, and serves clients in more than 10 countries. Leadership includes founder and CEO Noah Pepper and newly appointed President and CFO Allen Shim, the former Slack CFO. The company plans to use recent funding to continue firm acquisitions and to grow its technology and operating teams.

Participated · Equity · Jul 2026

Integral provides Forward Deployed Privacy Services that embed privacy experts directly into customer data pipelines to perform entity-preserving remediation and continuous privacy risk assessment. Its methodology is grounded in peer-reviewed statistical disclosure limitation research and was initially validated in healthcare, life sciences, and health data marketplaces. Integral produces defensibility artifacts such as Expert Determinations under HIPAA or signed defensibility opinions tailored to context, enabling enterprises and data originators to commercialize or share sensitive datasets. The company supports AI labs, data platforms, vertical AI builders, and enterprises operating in regulated environments. Following a $25 million financing, Integral plans to expand its privacy engineering and statistical methodology teams, invest in linkage and continuous assessment infrastructure, and broaden go-to-market efforts across the real-world data economy.

Participated · Series A · Jun 2026

Led by Jackson Engles, Daniel Saedi and Matthew Joseph, Minerva provides an AI-driven platform that helps brands unify and standardize first-party customer data, enrich it with a proprietary identity graph and more than 1,000 attributes, and create, analyze and optimize marketing campaigns at scale. The platform includes an Agentic Data Engineer to unlock customer data, tools for campaign creation and optimization, and measurement and reporting capabilities. Minerva works with consumer brands across sports, hospitality, financial services, real estate and travel, and its customers include the NBA, Juicebox, Luxury Presence, Trust & Will and Wander. The company plans to use the newly raised $20M to expand engineering, research and go-to-market teams and to build a self-serve product. The announcement also referenced a collaboration with OpenAI. No revenue, valuation or previous funding details were disclosed in the articles.

Led · Seed · Apr 2026

Ultralight, formerly Vibrant Practice, builds an AI-native vertical SaaS operating system for clinicians running functional, integrative, or longevity-focused practices. Its platform unifies electronic health records, practice management, and patient engagement while natively integrating AI to automate routine administrative tasks and surface deep clinical insights. The company positions its product to enable clinicians to focus on high-touch care by reducing operational overhead. Ultralight plans to use its newly raised seed capital to accelerate development of its AI-powered capabilities and product expansion. The company is headquartered in San Francisco, California. The reporting does not disclose revenue, user counts, or other operating metrics.

Led · Seed · Feb 2026

Meridian offers a standalone, agentic spreadsheet platform that functions like an integrated development environment, allowing finance professionals to create deterministic, easily auditable financial models while still leveraging large-language-model capabilities. Unlike in-cell Excel agents, Meridian integrates external data sources and references in one workspace, reducing friction and speeding up complex analyses from hours to minutes. The company focuses on eliminating LLM ‘hallucinations’ by exposing every logic step and assumption inside the model. Meridian is already serving teams at Decagon and OffDeal and booked $5 million in contracts in December alone, signaling early commercial traction. Its New York–based team combines alumni from AI leaders such as Scale AI and Anthropic with veterans of firms like Goldman Sachs, blending technical depth with domain expertise. Near-term plans center on scaling enterprise deployments while continuing to harden the product’s auditability for highly regulated finance environments.