Led · Series A · Jun 2026

Straiker provides an agentic-native security platform with three integrated capabilities: comprehensive discovery of AI agents across enterprise environments, pre-deployment adversarial testing to surface vulnerabilities, and runtime protection that monitors activity and stops threats. The founding team includes veterans of Palo Alto Networks and AI/security research, and the company emphasizes a shared intelligence layer that uses production detections to strengthen testing and protections. Since launching in 2025, Straiker has become a partner to frontier AI labs and Fortune 500 enterprises and reports run-rate revenue growth of more than 15x in less than a year. Straiker operates STAR Labs, its dedicated AI threat research arm, which informs its defenses and provides early visibility into emerging attack techniques.

Participated · Series E · May 2026

Sigma is built on the cloud data warehouse and provides a governed workspace that supports a spreadsheet interface, SQL, Python, and native AI to let teams explore live data, build applications, and automate workflows without moving data. The company emphasizes secure, warehouse-native architecture and has launched products including Sigma Agents (no-code agents), Sigma Assistant (an AI copilot), Sigma Data Modeling Skills for AI Agents, and the Sigma MCP Server for governed answers into AI chat assistants. Sigma reported strong financial momentum, surpassing $200 million in ARR in April 2026, achieving 100%+ year-over-year growth in the latest fiscal year, and adding over 1.1 million new active users in that period. It serves more than 2,000 customers worldwide, including large enterprises and AI innovators. The announcement originated from Sigma's San Francisco office and framed the company as driving adoption of agentic analytics and AI workflows while emphasizing governance, reliability, and security.

Participated · Series A · Apr 2026

Auctor builds a ‘system of action’ that records discovery-to-delivery interactions and automatically generates execution-ready artifacts such as statements of work, resource plans, process flows, user stories, business requirements documents, and architecture diagrams. Each artifact remains linked to its source conversation, stakeholder, or document to preserve traceability and prevent documentation drift when requirements change. The platform integrates with tools like Jira, Notion, Salesforce, and Confluence and captures knowledge from past projects to enable reuse of expertise when teams change. Founded in 2025 through Y Combinator’s X25 batch and based in New York, Auctor raised a $20 million Series A led by Sequoia Capital with participation from M12, HubSpot Ventures, Workday Ventures, OneStream, and Tercera. The company plans to expand the platform across the full implementation lifecycle—delivery, testing, and go-live—and scale sales across major enterprise software ecosystems.

Participated · Series B · Feb 2026

Reco builds an AI SaaS security platform whose proprietary AI Agents continuously monitor enterprise SaaS environments such as Salesforce, ChatGPT, and Microsoft Copilot. The software surfaces real-time insights into permissions, data movement, and unsanctioned “shadow AI” tools, helping security teams mitigate risk. Its AppFactory technology underpins more than 215 out-of-the-box integrations, allowing rapid onboarding of additional cloud applications. Following a 400% increase in annual recurring revenue during 2025, the company now counts multiple Fortune 500 firms and global enterprises in healthcare, financial services, and manufacturing—among them Waste Management—as customers. Reco plans to deploy fresh capital to expand engineering, product, and go-to-market teams, aiming to accelerate platform development and sales reach. Including the newly announced round, the New York City-based startup has raised a cumulative $85 million to date.

Participated · Series A · Jul 2025

Nominal builds an AI-native ERP platform that automates manual accounting work for mid-market and enterprise companies. Its agentic AI and "shadow general ledger" integrate with existing ERPs to automate transaction matching, reconciliations, and multi-entity consolidation without long migrations. The platform converts manual accounting tasks into automated workflows to accelerate month-end close, reduce errors, and free finance teams for strategic work. Nominal is already deployed with dozens of enterprise and mid-market customers, including Jiffy Lube. The company was founded and is led by AI entrepreneurs Guy Leibovitz (CEO) and Golan Kopichinsky (CTO). Nominal offers a cloud-based, generative AI platform that extends existing ERPs via a shadow ledger and generative subledgers to automate accounting workflows. Its subledgers include intercompany consolidation, lease (ASC 842/IFRS 16), accruals and revenue recognition, plus custom workflows and period-end collaboration. The platform aggregates data in a Financial Data Lake to enable advanced reporting and real-time visibility without requiring migration or risking current operations. Nominal targets mid-market, multi-entity customers (holding companies, real estate, energy and multinational tech) and claims deployment across hundreds of entities managing over $1 billion in book value. The company says implementations are measured in days, not months, and that generative workflows can run autonomously or under human supervision to ensure accuracy. Nominal plans to use its seed funds to accelerate product development, expand market reach and scale U.S. sales and support resources.