Participated · Series A · Jun 2026

Nebulock provides an AI-native contextual security platform focused on autonomous threat hunting, behavioral security analytics, and proactive detection engineering across endpoint, identity, cloud, network, and SaaS telemetry. Since emerging from stealth, the company has performed more than 300 million agentic investigations and produced over 4,000 high-confidence findings, and has onboarded Fortune 500 customers and organizations in sectors like financial services and healthcare. Nebulock has identified high-risk incidents such as long-running remote actor access, mass exfiltration of source code to USB, exposed credentials in CLI arguments, and malicious browser extensions. The company has also observed and rapidly mitigated emerging agentic insider threats—reporting more than 50,000 related events tied to OpenClaw across 40% of its customer base. Founded by former security and product leaders from CrowdStrike, Palo Alto Networks, and Arctic Wolf, Nebulock plans to deepen its behavioral context graph and scale engineering and go-to-market functions to meet growing enterprise demand.

Led · Seed · Jun 2026

Ent operates an intent-aware Workspace Security platform that observes behavior across browsers, applications, workflows, data movement, and local runtimes to evaluate human and AI agent intent in real time. The platform runs as a lightweight agent hosted in the customer’s cloud, applies customer-defined policy, and performs configurable, just-in-time interventions to stop risky actions before they become incidents. Ent is generally available for Windows, macOS, Linux, and via a browser extension and is deployed with Global 2000 customers across hospitality, financial services, and defense. The company was founded by Elias Manousos and Brandon Dixon, founders of RiskIQ and contributors to Microsoft Security Copilot, and includes advisors with senior security and intelligence backgrounds. Ent plans to use new funding to hire across engineering and go-to-market teams and to accelerate product roadmap items including AI governance, threat prevention, security integrations, and multimodal endpoint intelligence. The company positions its technology as a preventive layer at the workspace to address AI-era, fast-moving attacks by bringing AI reasoning directly to endpoints.

Participated · Series D · Mar 2026

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 · Seed · Mar 2026

Mantis Biotech integrates textbooks, motion-capture, biometric sensors, training logs, and medical imaging, routing and validating those inputs with LLM-based systems and a physics engine to produce high-fidelity synthetic datasets and digital twins. The platform creates physics-grounded, predictive models of anatomy, physiology, and behavior that can be used for performance prediction, testing procedures, training systems, and simulating edge cases or rare conditions where real data are scarce. The company has seen early commercial traction in professional sports, including work for an NBA team, and aims to target preventative healthcare as well as pharmaceutical researchers running FDA trials. Mantis plans to continue building its technology and eventually release the platform more broadly. The article does not disclose revenue, user counts, or a founding year.

Participated · Series A · Oct 2025

Strella offers an AI-native platform that lets product and research teams run hundreds of in-depth user interviews in hours rather than weeks. Its real-time AI moderator adapts to participant responses, probing like a skilled human researcher to uncover the “why” behind customer behavior. Since emerging from stealth in October 2024, the company has quadrupled its customer base—now including Amazon, Duolingo, Apollo GraphQL, and Chobani—and grown revenue tenfold. Customers report a 90 % reduction in manual research time and often receive actionable insights within a single day. With fresh capital, Strella plans to extend its capabilities to mobile research and aggressively hire engineers to support new AI-driven methodologies. These efforts aim to make continuous, scalable qualitative research the standard across Fortune 500 and fast-growing startups.