Participated · Series C · Aug 2026

CodeRabbit offers an automated platform that uses AI agents to review freshly generated code in real time, catching syntax errors, logic bugs and security vulnerabilities as code is created. The company has expanded its offering with Agentic Change Management, which includes CodeRabbit Triage for scoring and routing pull requests, Change Stack for visualizing a change's impact on system behavior and dependencies, and CodeRabbit Security for full-repository scanning and continuous monitoring after code ships. Its tools validate incoming pull requests using repository-wide context and sandboxed test environments, and can generate recommended fixes that re-enter the pull request workflow. CodeRabbit has positioned the product to help teams prioritize and govern a rising volume of code changes originating from developers, nontechnical staff and automated agents. The company announced a $143 million Series C to accelerate these product capabilities and scale adoption. Prior investors such as CRV, Scale Venture Partners, Flex Capital and Pelion Venture Partners participated in the latest round.

Led · Series A · Jul 2026

Mage provides a platform—branded Mage Pro—for running production data workflows, automating critical processes, and creating AI-ready data that teams can trust. The company emphasizes workflow visibility, recoverability, and governance to help teams add, explore, and use data without hiding work behind black boxes. Mage positions its product to reduce repetitive setup, prevent stale context, and avoid rebuilding workflows across teams. The firm says its platform is used to solve operational problems at scale and to keep important work happening correctly. The recent Series A is intended to accelerate development of Mage Pro and expand the company's ability to serve teams that need trusted, production-grade data and workflow execution.

Participated · Equity · Feb 2026

Selector offers a unified observability and network intelligence solution that integrates large language models, knowledge graphs, and causal reasoning to deliver real-time root-cause analysis, predictive maintenance, and automated remediation. The platform replaces siloed monitoring tools with a single pane of glass, giving operations teams contextual insights across cloud, network, and application layers. In 2025 the company’s cumulative annual recurring revenue reached 230 % of 2024 levels, marking its fourth consecutive year of doubling ARR, and new ARR booked jumped to 370 % of 2024. Approximately 80 % of its customers are Fortune 1000 firms, including three new Fortune 20 customers in manufacturing and healthcare. Selector has expanded globally via cloud marketplaces, regional partners, and an initial push into Japan. The firm recently secured eight foundational U.S. patents covering LLM training, causal inference, and network path intelligence, and it plans to launch an enhanced Agentic ChatOps capability for multi-turn reasoning. Headquartered in Santa Clara, Selector is backed by a roster of telecom and enterprise-focused investors.

Led · Series A · Oct 2025

CoreStory tackles one of enterprise IT’s costliest problems: understanding and modernizing the trillions of lines of legacy code that underpin critical systems such as banking, healthcare and defense. Its Agentic Code-to-Spec platform automatically reads, maps and documents millions of lines of code, turning opaque applications into detailed, living specifications that both developers and AI agents can navigate. By pioneering Specification-Driven Development, CoreStory grounds all software—including the surge of AI-generated code—in explicit, natural-language requirements, keeping business intent and technical execution aligned. Enterprises that deploy the product report up to a 50 percent reduction in human development time, while research conducted with Microsoft shows a 51 percent accuracy boost for AI engineering agents using CoreStory’s specs. The result is shorter modernization timelines, lower project risk and a measurable, ROI-positive initiative for large organizations. With fresh capital, the company plans to accelerate enterprise adoption and further develop its AI-powered development workflows. No additional revenue or user figures were disclosed in the article.

Participated · Series B · Sep 2025

RegScale offers a compliance-as-code CCM platform built for CISOs at government agencies, financial institutions, high-tech enterprises, and other highly regulated organizations. The software uses APIs and AI agents, branded as RegML, to automate evidence collection, continuous monitoring, audits, and risk analysis, turning traditionally manual, checklist-driven GRC processes into real-time, automated workflows. Customers report cutting audit preparation time by 60 %, achieving FedRAMP High authorization 3–4× faster, and realizing up to 10× staff efficiency, while the company’s annual recurring revenue has tripled year-over-year. RegScale has earned industry recognition such as SC Media’s Best Compliance Solution award and Gartner leadership citations, and it serves as lead affiliate for the Cyber Risk Institute’s OSCAL initiative. The firm recently secured FedRAMP High Authorization itself in just six months—one-quarter of the typical timeline—showcasing the maturity of its platform. With fresh capital, the company plans to expand its AI roadmap, hire across R&D and sales, and move deeper into energy, utilities, and other critical-infrastructure sectors. Headquartered in Tysons Corner, Virginia, RegScale positions its platform as an operational risk “co-pilot” that lowers compliance costs while strengthening security.