Participated · Seed · Jun 2026

Seltz builds a purpose-built search stack—owning its web crawler, index, retrieval models, and ranking—targeted at AI agents and chatbots that require machine-ready, citable information. The system crawls hundreds of millions of pages per day, returns results in under 200 milliseconds, and scores and extracts specific passages, tables, or images to supply agents rather than just human-oriented snippets. Founder and CEO Antonio Mallia previously worked on information retrieval in his PhD and at Amazon and Pinecone, and the team includes multiple PhD holders and veterans of Amazon’s AI efforts. Seltz was incorporated in the U.S. and founded last October, operates fully remotely with about 15 employees split between the San Francisco Bay Area and hubs near European universities in Pisa and Leipzig. The company faces a crowded competitive landscape with better-funded peers, but plans to use its seed funding to advance its search stack, hire, and launch enterprise sales. Its advisers and angel backers span technology companies and academic information-retrieval labs.

Participated · Seed · Mar 2026

Zymtrace builds autonomous optimization software that increases utilization of existing GPUs to recover wasted GPU spend. The company positions its technology as an alternative to simply buying more powerful GPUs, arguing existing hardware can be made to do more. Zymtrace's messaging claims its solution can recover "billions in wasted GPU spend" and emphasizes operational efficiency. The company credits early customers for supporting product development and highlights a dedicated engineering team. Its leadership includes CTO Joel Höner. Zymtrace recently strengthened its financial position by raising a $12.2M seed round led by Venture Guides.

Participated · Series A · Nov 2025

Founded in 2021, Infracost integrates with GitHub, GitLab and other developer platforms to surface the cost impact of every infrastructure-as-code change before it is deployed. The software tracks more than 4 million prices across AWS, Azure and Google Cloud, enabling engineers to identify overspend and apply FinOps policies directly in code reviews rather than after invoices arrive. Over 3,500 companies—including 10 percent of the Fortune 500—use the platform. Recent functionality such as AutoFix employs AI to automatically rewrite infrastructure code in pull requests to eliminate cost issues in seconds. By embedding cost intelligence where code is written, Infracost aims to shift FinOps “left” and curb the decentralization-driven surge in cloud spending. The company has secured a $15 million Series A round to accelerate product development and expansion. This funding bolsters its financial position as it pursues broader adoption of proactive, engineer-centric cloud cost management.

Participated · Seed · Oct 2025

Spacial has built an AI-driven engineering platform that converts 2D residential architectural drawings into detailed, code-compliant 3D structural and MEP plans. The software automatically detects design conflicts, validates local building codes, and prepares permit-ready documents, shrinking the design-to-permit timeline from months to days. By integrating with architects’ and engineers’ existing tools and adding licensed engineering oversight, the system reduces material waste, rework, and project risk. Since launching in 2024, the company’s booked revenue has grown 300% and it is supporting more than 140 active projects across the United States. Spacial currently employs over 20 people split between its Palo Alto headquarters and an R&D center in Tel Aviv. The newly raised capital will fund further AI model development and expand sales and customer-success teams to accelerate adoption among architects, builders, and design professionals.

Participated · Equity · Oct 2025

Unikraft develops a cloud platform engineered for sub-50 ms cold starts, instant autoscaling, and the ability to host tens of thousands of strongly isolated virtual machines on a single server. The technology stems from research backed by NEC Laboratories Europe and the Linux Foundation and integrates seamlessly with familiar developer tools such as Dockerfiles, Kubernetes, Prometheus, and Grafana. Key performance claims include 10–50 ms workload boots, 10,000–100,000+ VMs per server, and the potential to double requests per second at half the cost of traditional VM deployments. Security is maintained through hardware-level isolation, avoiding the trade-offs commonly associated with containerization. The platform is aimed at companies that need to scale AI workloads without latency or cost constraints. With its recent funding, the company plans to expand both operations and product development efforts. Financially, Unikraft has secured $6 million to date, but no revenue or user figures were disclosed.