Participated · Seed · Feb 2026

Airrived builds the Agentic OS, a unified operating layer that lets enterprises fine-tune large language models, compose deep-reasoning agents, and orchestrate actions across security, governance, IT and broader business tools without requiring in-house AI expertise. The platform replaces fragmented AI point products and bolt-on copilots with a native, end-to-end agentic system that can reason, decide, and act autonomously. Early deployments span a Fortune 150 insurance company, a major fast-casual restaurant chain, a global bank, and a telecom infrastructure provider, demonstrating scalability in complex, high-volume environments. Gartner has named the company a Tech Innovator in Agentic AI, and it has received awards from Security Today and BIG Innovation. By positioning agentic intelligence as core infrastructure, Airrived aims to become the standard foundation on which enterprises build intelligent automation across security and IT. The company is based in Dublin, California and is still in the pre-revenue disclosure stage, having just emerged from stealth.

Participated · Seed · Sep 2025

Synthesize Bio is a biotechnology startup developing biological foundation models capable of predicting the results of gene-expression experiments with high fidelity. Its inaugural Generate Expression Model-1 (GEM-1) was trained on one of the most deeply curated RNA-seq datasets assembled and can generate in-silico data directly from experimental design descriptions, including experiments that are currently infeasible in the lab. By augmenting or replacing wet-lab work, GEM-1 aims to help biopharma partners identify drug targets, assess safety and efficacy, and optimize clinical-trial design more quickly and cost-effectively. The company is actively engaging with pharmaceutical companies to integrate its models across the R&D pipeline and offers access to GEM-1 through web, R, and Python APIs. Founded by Fred Hutchinson Cancer Center scientists Rob Bradley, PhD, and Jeff Leek, PhD, the Seattle-based venture positions itself at the intersection of AI and life sciences. The recently raised seed capital finances model enhancement and broader commercial access; no revenue or user metrics were disclosed.

Participated · Series A · Jun 2025

Qualytics provides an AI-driven, enterprise platform for augmented data quality that automates anomaly detection, intelligent rule generation, and remediation via no-code workflows. The platform integrates with cloud-native and legacy systems and tools including Databricks, Snowflake, SQL Server, Oracle, Atlan, and Alation. Qualytics surfaces more than 30,000 real-world anomalies per month and recently signed a top‑3 U.S. financial institution, demonstrating traction with large data-driven enterprises. The company reported 5x revenue growth over the past year, driven by demand for proactive data quality in AI and analytics initiatives. To support accelerating demand the company is scaling its team across engineering, product management, customer success, and sales. Planned product and go-to-market expansion aims to deepen platform capabilities, speed customer onboarding, and increase support for existing users. Qualytics provides an active, scalable data quality platform for enterprises. Led by CEO Gorkem Sevinc and based in Orlando, FL, it offers a scalable solution across the entire data quality lifecycle. The platform enables subject matter experts and data engineers to collaborate on data quality at scale through advanced automation and intelligent workflows. Qualytics raised $2.5M in funding in a round led by Tech Square Ventures. The company intends to use the funds to scale demand from Fortune 500 enterprises. The funding involved a mix of venture firms, funds and individual backers. Qualytics offers the Qualytics Data Firewall, a platform that monitors data with real-time surveillance. The platform uses advanced data operations and machine learning to enable governance, auditing, and data security by detecting data quality anomalies in real time and preventing bad data from entering downstream systems. The company is focused on a critical gap—data integrity. Qualytics was founded in April 2020 by Gorkem Sevinc and Dan Roche and is based in Baltimore, Md. The company operates as a tenant at the bwtech@UMBC Research & Technology Park. Its current financing activity includes an ongoing seed round with participation from institutional and angel investors.

Participated · Seed · Jun 2025

Trustible provides an AI governance platform that enables enterprises to identify, measure, and mitigate AI risk and accelerate safe, compliant AI adoption. The platform offers centralized oversight and control across internal and third‑party systems, integrated AI risk and compliance management with continuous monitoring and embedded workflows, and actionable intelligence and guided governance including taxonomies, recommendation models, and in‑app guidance. Trustible reports that 38% of its customers are from the Fortune 500, 62% are publicly traded companies, and over 87% have global operations; one Fortune 500 CPG customer doubled the number of AI use cases after adopting the platform. The company says it will scale its team and deepen product capabilities to support broader enterprise adoption. Headquartered in the Washington D.C. area, Trustible will use new capital to fuel its next stage of growth. Financially, the company announced a $4.6 million Series Seed financing to support these efforts. Trustible provides software to help organizations accelerate Responsible AI governance, aiming to maximize trust and manage risk as AI adoption grows. Founded by Gerald Kierce and Andrew Gamino-Cheong, the company empowers organizations to confidently adopt AI technologies amid evolving regulation. It is collaborating with a select group of pilot customers across the technology, financial services, and healthcare sectors. Trustible raised $1.6M in a First funding round to support its growth. The company intends to use the funds to scale its team, accelerate growth, and further develop its product.

Participated · Series A · May 2025

ClearVector offers an identity-driven security platform that focuses on detecting, investigating, and stopping adversaries by tracing and controlling identity activity across production environments. The platform provides real-time threat detection with instant mitigation (a “Big Red Button”), comprehensive identity context across control planes, cloud workloads, and third-party SaaS, and a unified, adaptive security model. It leverages a patented identity graph reportedly comprising over 1 billion nodes and 4 billion edges to enable identity tracing and attribution. The company continuously learns how human, machine, third-party, and AI identities operate at runtime to build adaptive risk models and tailor protections to each environment. ClearVector plans to use the new funding to expand its team to meet customer demand and is hiring across product, engineering, sales, marketing, and customer success. The company was founded by John Laliberte (former Mandiant/FireEye executive and NSA alumnus) and emphasizes shifting security from chasing threats to controlling identity activity.