• Nebex

  Participated · Seed · Jun 2026

  Nebex builds market infrastructure for the global space economy, operating as an exchange layer that links space companies with sovereign buyers and the capital that moves deals. Founded in late 2025 by Tejpaul Bhatia, Anand Subramanian, and Manlio Di Stefano, the company aims to reduce revenue and cash-flow frictions that space founders face when engaging in government contracting. Nebex has secured a $30M seed investment led by GV and a banking relationship with J.P. Morgan to scale its platform and expand international commercial collaboration. The founder and CEO, Tejpaul Bhatia, previously led Axiom Space and is credited with over $1B in commercial space deals. Nebex's stated mission is to ensure international spend is reinvested in nations' own economies by enabling market mechanisms similar to other industries. The company is backed by a syndicate of venture funds including Eniac Ventures, 2048 Ventures, Better Tomorrow Ventures, Oceans Ventures, AIN Ventures, Also Capital, Anagram, Armory Square Ventures, Multiball Capital, Trajectory Capital, and VSC Ventures.

• Perceptive Space

  Participated · Equity · Aug 2024

  Perceptive Space develops machine learning and AI-based space weather forecasting intended to deliver more accurate and near-real-time predictions than legacy government models. Its service targets rocket launch providers, satellite operators and aviation companies that rely on forecasts for operations and human safety. The company has a pilot program with a few early signups providing feedback and plans to convert this into a subscription service offering short- and long-term forecasts with tiered pricing based on asset count and orbit. Perceptive emerged from stealth and currently has five employees, with plans to expand to about ten over the next year. The company says the additional capital will be used to accelerate product development from a bench-scale product to a fully fledged commercial service by next year. Perceptive argues that improved space weather data is critical to scaling LEO satellite operations and supporting sustained human activity in space.

• Arcee.ai

  Participated · Seed · Jan 2024

  Arcee AI specializes in small language models (SLMs) and provides tools for customers to train models as well as pre-trained models for domain-specific question-answering use cases. Its core technologies include Model Merging, which fuses multiple models into a single efficient model, and Spectrum, a targeted training technique that reduces training time and catastrophic forgetting. The company offers two delivery methods: Arcee Cloud (a hosted SaaS) and Arcee Enterprise (in‑VPC deployments favored by larger customers). Arcee positions SLMs as cost- and energy-efficient alternatives to very large models and says it can train GPT-3–like models for as little as $20,000. Pricing is sold as annual software-license contracts with inference charges, rather than purely usage-based pricing. Financially, Arcee reports $2 million in revenue, has 25 employees, plans to grow to about 50 within 18 months, and says there is a good chance it could turn profitable by early 2025. Arcee provides an end-to-end platform for building, fine-tuning, deploying and monitoring generative AI models inside a virtual private cloud to address enterprise security and ownership concerns. The product was developed by former Hugging Face and Roboflow engineers to let organizations train specialized language models on their own data within a secure compute environment. The company emphasizes adaptive training, superior fine-tuning and monitoring to mitigate privacy risks for highly regulated industries such as legal, healthcare, insurance and financial services. Arcee launched last February and is maintained by a Miami-based startup led by founders Mark McQuade, Brian Benedict and Jacob Salowetz. The startup has positioned itself against other tooling providers and large incumbents while highlighting demand from enterprises worried about transparency and security. Management says the capital raised so far will be used to expand the workforce, build out the platform and grow into new markets.

No current team members are available.