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 · May 2026

Star Catcher is developing an orbital optical power-beaming energy infrastructure designed to transmit concentrated, conditioned solar energy to client satellites, enabling up to 10x more power without receiver retrofits. The company has demonstrated world-record optical power beaming performance and completed a critical on-orbit subsystem demonstration, validating its end-to-end system architecture. Star Catcher has signed seven power purchase agreements, secured multiple government contracts, and manages a qualified commercial pipeline representing more than $3 billion in projected annual recurring revenue. It plans to launch the first space-based optical power beaming demonstration later this year and is already advancing a second mission to retire technical risk and deploy operational capability. Financially, Star Catcher has raised $88 million to date, including a $65 million Series A intended to scale engineering, operations, commercial expansion, and national security engagement.

Led · Series A · Apr 2026

definity offers an agentic data engineering platform that operates within production pipelines to capture full-stack runtime signals across infrastructure behavior, pipeline execution, and data characteristics. Its platform supports large lakehouse deployments and Spark environments including Databricks, AWS EMR, GCP Dataproc, and Spark on Kubernetes. By enabling AI agents to analyze and control pipeline execution in real time, definity aims to shift teams from reactive monitoring to autonomous, in-motion optimization. The company reported tripling revenue over the past six months and has added several Fortune 500 and large enterprise customers. definity says customers achieve outcomes such as more than 30% platform cost reduction and tenfold faster resolution of complex Spark issues. Going forward, the company plans to use Series A proceeds to further develop agentic features, broaden integrations, and scale go-to-market activities.

Participated · Series B · Mar 2026

Qualified Health provides a secure enterprise AI platform and strategic services to help health systems deploy AI with embedded safety, governance, and monitoring. Its platform combines workflow automation, agent development, clinical safeguards, real-time monitoring, and end-to-end traceability. Early deployments with partners including Mercy, Emory Healthcare, University of Rochester Medicine, Jefferson Health, and the University of Texas System have produced measurable revenue uplift and cost savings, including more than $15 million in run-rate impact at UTMB within six months. The platform currently supports more than 500,000 users across health systems representing approximately 7% of U.S. hospital revenue. The company is led by former health system executives, frontline physicians, clinical transformation experts, and Silicon Valley engineers. Qualified Health plans to deepen partnerships and scale its platform responsibly while expanding governance, monitoring, and infrastructure to support mission-critical AI deployments.

Participated · Series A · Feb 2026

Founded in 2021 and headquartered in Toronto, Shakudo sells software that lets companies integrate leading AI models into their existing tech stacks without the need for large DevOps teams. Enterprises in finance, healthcare, aerospace, energy, and retail—including Loblaw Digital—use Shakudo to cut AI development cycles from months to days. The 35-person company recently opened offices in Silicon Valley and Bangalore and launched an AI agent called Kaji, described as a virtual senior engineer that is both technically deep and business-minded. Management reports that revenue has grown seven-fold since mid-2023 and now sits "in the ballpark of a Series B company," while the business remains capital-efficient with a clear path to profitability. Fresh capital will fund additional computing capacity and selective engineering hires as Shakudo positions itself to raise a larger Series B round within the next one to two years.