Participated · Seed · Aug 2026

Neuromorphic Labs is developing an AI infrastructure platform that makes trust an intrinsic property of critical AI assets by providing verifiable identity, lineage, and control for models, datasets, agents, and compute environments. The platform is designed to enforce provenance and access controls automatically within a customer’s environment and to integrate with existing development tools. The company positioned lineage and provenance as a wedge to ensure traceability across model promotions and deployments. Neuromorphic Labs engaged design partners for early feedback during product development. Following an oversubscribed $5.1M seed round, the company is hiring to accelerate product development and customer onboarding. Financially, the company’s disclosed funding to date is the $5.1M seed; no revenue or other operating metrics were disclosed in the announcement.

Participated · Series A · Jul 2026

KredosAi offers an intelligent engagement platform that applies behavioral science and AI to determine the right message, channel, and timing to improve payment outcomes and preserve customer relationships. The company reports processing more than 200 million customer interactions over the past two years and growing revenue more than 6x in that period. Across its enterprise portfolio it has demonstrated an 11.5% reduction in write-off rates, a 13.6% increase in customer lifetime value, and claims over $50 million in annual bottom-line benefit for some large enterprises. KredosAi is a FICO partner, serves Fortune 50 clients and other enterprise customers, and is SOC 2 Type II certified with multilingual support. Future plans funded by the Series A include expanding into financial services and auto lending, building a multi-agent framework with voice agent support, and scaling the team.

Participated · Seed · Apr 2026

SkyfireAI develops a software platform for autonomous, coordinated multi-ship drone operations that supports the full mission lifecycle from planning and deployment to orchestration and operational oversight. The company’s platform is designed for public-safety, law-enforcement, critical-infrastructure, and defense use cases such as 911 response, incident overwatch, medical delivery, crowd safety, and perimeter defense. Founded in late 2022 by entrepreneurs and veterans with national security and first-response experience, SkyfireAI has Andrew Ng and AI Fund involved from its founding. It currently serves federal, state, and local public-safety and law-enforcement agencies, commercial critical-infrastructure clients, and an increasing number of defense customers. Following its $11 million seed round, SkyfireAI plans to accelerate product development, expand its technology and product teams, and scale deployments with mission-critical organizations.

Participated · Seed · Apr 2026

Copperhelm builds an agentic cloud security platform that uses a Context Lake to structure and connect cloud data and purpose-built AI agents to continuously monitor, investigate, and remediate risks across cloud environments. Its agents perform functions such as network analysis, system behavior inspection, adversary simulation, and automated remediation, and they can connect to live workloads to deploy targeted protections. The company reports it is already running with paying customers, including Fortune 500 enterprises, and cites a customer case where 6 million raw findings were reduced to a few hundred validated risks. Founded by cloud and security veterans Shimon Tolts, Eyar Zilberman, and Roman Labunsky, Copperhelm emphasizes deep cloud architectural expertise. The company plans to use its newly raised $7 million seed capital to accelerate product development, expand go-to-market activities, and grow its engineering team. Copperhelm is headquartered in Tel Aviv.

Participated · Seed · Apr 2026

Neo Agent aims to be the first fully autonomous AI technician for MSPs, designed to work tickets, perform complex analysis, and communicate directly with end users. The product handles triaging, dispatching, running scripts, and can resolve tickets end-to-end without human intervention. It is trained to operate across the full MSP stack, including PSA, RMM, and Microsoft 365. The company reports more than 1 million workflow executions per month, reflecting meaningful operational usage. Neo Agent plans to use the seed funding to accelerate development, hire more people, and deepen its platform capabilities. Founder Nikhil Sehgal publicly announced the raise and credited early MSP customers for feedback and trust.