• Venus Aerospace

  Participated · Series B · Jul 2026

  Venus Aerospace develops rotating detonation rocket engines (RDRE) and has shifted focus toward hypersonic weapons and high-speed space vehicles after a successful flight demonstration in 2025. The company was founded in 2020 by CEO Sassie Duggleby and CTO Andrew Duggleby. Its propulsion architecture emphasizes efficiency, throttling, reusability, and manufacturability aimed at defense and space customers. Venus has conducted about 600 engine tests with a longest-duration burn of 32 seconds to date, while customers require burns of roughly 6 to 15 minutes for operational missions. This year it received a grant from the Texas Space Commission to build a larger test stand to enable longer-duration testing. The company is using new equity from its $90M Series B to fund vehicle-specific testing and development with potential customers.

• iSono Health

  Participated · Equity · Jan 2026

  iSono Health is a commercial-stage medical technology company focused on transforming women’s breast imaging with ATUSA™, an FDA-cleared, portable and hands-free 3D ultrasound platform. The system captures full-breast volumes in about two minutes per breast—roughly ten times faster than manual handheld ultrasound—and delivers consistent images independent of the operator’s skill. By pairing its wearable hardware with cloud-based intelligence, the company offers an "Ultrasound-as-a-Service" model that lowers upfront costs for clinics and generates recurring revenue. iSono is advancing an AI "sentient partner" roadmap to provide real-time diagnostic support and is running the 800-patient, NIH-funded AUDIBLE Study to validate its algorithms against mammography and MRI. The company has secured multiple paying clinics through a Pioneering Partner Program and earned industry recognition such as HLTH 2025 Rising Star (Diagnostics) and WISH 2024 Global Awards. Financially, iSono has raised $14.7 million across venture rounds and non-dilutive grants, including a recent $3 million Seed Preferred round and $3.7 million from NIH, NSF and NCI. These funds position the firm to scale global deployments while continuing clinical validation.

• Axyon AI

  Participated · Equity · Apr 2025

  Axyon AI, founded in 2016, offers predictive AI-powered solutions for the investment management industry from Modena, Italy. Its core product set includes AI-driven analytics, AI-powered factors for model optimization, and the AI-Compass alert system for real-time market insights. The company leverages advanced artificial intelligence and deep learning to help investment managers optimize decision-making and enhance investment strategies. Axyon AI plans to use newly raised funds to expand market coverage, further develop its investment management solutions, and enhance AI explainability in the financial sector. The article does not disclose revenue, user counts, or other operating metrics. The company was founded by Giacomo Barigazzi, Daniele Grassi and Jacopo Credi and emphasizes scalable, research-led AI technologies that deliver timely signals and predictive insights. Axyon AI is a Modena, Italy–based AI fintech company led by CEO Daniele Grassi that develops AI-driven tools to uncover alpha opportunities and optimize indices on equities and ETFs. Its core products include AI-powered asset rankings and active indices that aim to help asset managers navigate complex market dynamics. The company integrates AI insights with index construction to provide more precise investment-management signals. Axyon intends to use the new funding to catalyze commercial expansion and advance its technological development initiatives. The round consolidates prior convertible-note financing from 2022, reflecting continued investor support for the company’s product roadmap. The company will leverage the partnership with new and existing investors to accelerate go-to-market efforts. Axyon AI offers a fully automated, web-based platform (Axyon IRIS®) that delivers AI-powered forecasts and investment strategies to asset managers. The company leverages advanced AI and deep learning for probabilistic time-series modelling to forecast and nowcast complex multivariate stochastic processes. Axyon says its models have proven performance and have become an integral part of some clients' investment processes. The firm plans to use new funding to evolve the Axyon IRIS flagship product and to support continued research & development. Management also intends to use the capital to support international expansion and to reinforce team growth.

• TreQ Global

  Participated · Seed · Oct 2024

  TreQ Global engineers, manufactures, and operates bespoke, open-architecture quantum computing clusters that integrate components and processor prototypes from a variety of sources. The company focuses on systems engineering and high-level manufacturing to deliver upgradable, extensible quantum systems compatible with customers' existing infrastructure. TreQ serves clients building on-premises quantum-readiness infrastructure for businesses, institutions, and communities worldwide. The team plans to scale manufacturing operations and hire additional engineers and technicians to expand its supply chain and build its first systems. The company says it is positioned for projected near-term profitability and emphasizes a capital-efficient, risk-management strategy. TreQ is headquartered / operating from Milton Park, United Kingdom and Alexandria, Va., according to the announcement.

• Vectara

  Participated · Series A · Jul 2024

  Vectara offers an end-to-end RAG-as-a-service platform that embeds generative AI features into applications while asserting it never trains on customer data. The company has developed Mockingbird, a fine-tuned LLM optimized for RAG that Vectara says reduces hallucinations, improves structured outputs, and runs with low latency and cost efficiency. Vectara couples Mockingbird with its open-source Hughes Hallucination Evaluation Model (HHEM) and leaderboard, which thousands reportedly use to mitigate hallucinations. The product positioning targets regulated sectors such as health, legal, finance, and manufacturing where accuracy, security, and explainability are critical. With the new model and tooling, Vectara aims to support integrations with downstream systems and functional calls for autonomous agents. The company plans to ramp go-to-market resources and expand its offering in Australia and EMEA. Vectara was founded by three former Googlers to build a conversational search platform for enterprises that lets developers retrieve and summarize text from large corporate data stores. The company offers an AI-powered, API-based search that can handle queries of arbitrary length, ambiguity and language and returns summaries with citations. Its platform ingests documents in real time and supports client-configurable data retention so organizations can discard originals after indexing to limit residual data. Vectara says it grounds summarization by constraining models to customer-indexed data while training on publicly licensed sources such as Wikipedia. Customers include Conversica, Apex Chat, Metus and Oncotelic Therapeutics, and the company competes with cognitive search products like Amazon Kendra and Microsoft SharePoint Syntex. Vectara has 24 employees and plans to use its recent funding to expand engineering and go-to-market teams with emphasis on European, Middle Eastern and Asia Pacific regions. Vectara offers a neural search-as-a-service that converts queries into vector space and indexes an organization’s data to surface results via vector proximity and cross-attentional ranking. The platform encompasses the full data pipeline, ingesting diverse file types (Word, PDF) and understanding document structure rather than just providing a standalone vector database. Founders Amr Awadallah (CEO), Amin Ahmad (CTO) and Tallat Shafaat (chief architect) are former Google staffers and built the company in stealth under the name ZIR AI. Vectara emphasizes transformer-based models and fine-tuning to capture context and improve query relevance. The company launched its neural search offering with $20 million in seed funding and made the technology available upon emerging from stealth. Vectara plans to expand beyond search over time to add services such as recommendations and tools to surface related topics.

No current team members are available.