Participated · Series B · May 2026

Cinder develops infrastructure and tools to help platforms defend against AI-enabled online abuse such as spam, scams, deepfakes, counterfeit listings, fake reviews, and jailbreaking of AI systems. The company says its protections currently reach over 3 billion people across major products, reflecting significant deployment at scale. Founded by leaders with experience at Meta, Palantir, and the U.S. government, Cinder positions itself as providing best-in-class defensive capabilities to match increasingly accessible attacker tools. With the recently raised Series B capital, the company plans to scale its team, deploy AI agents at scale, and expand capabilities so companies of all sizes can respond to emergent AI threats. Financial details beyond the $41 million Series B were not disclosed in the article.

Participated · Seed · Apr 2026

Era builds a software orchestration layer that allows hardware makers to create AI agents and orchestrations for a variety of device form factors. The platform supports over 130 large language models from more than 14 providers to handle multimodal inputs and inference across devices like glasses, jewelry, and home speakers. Era was founded last year by CEO Liz Dorman, CTO Alex Ollman, and CPO Megan Gole. The company says its platform is designed to scale across millions of devices and to let users choose memory and model providers in a privacy-preserving way. Era does not manufacture devices itself but aims to enable third-party hardware makers and to work with the open-source and maker communities to showcase possible device experiences. Financially, the startup has raised $11 million to date across pre-seed and seed rounds.

Participated · Seed · Mar 2026

Galtea provides infrastructure and tooling for testing, validating and benchmarking generative AI agents, focusing on generating high-quality, use case-specific test scenarios. Its platform supports continuous, dynamic testing and tailored evaluation metrics to help teams assess performance, accuracy and security prior to deployment. The company offers enterprise packages and recently launched a self-service offering with a free trial to make its tools more accessible to developers. Galtea's solution is already used by customers across multiple sectors and aims to reduce the cost and time of AI validation through automated scenario generation. Financially, the company has raised $3.2M in a seed round that brought total funding to $4.1M and plans to invest the new capital in engineering and commercial growth.

Participated · Series A · Feb 2026

Founded in 2020, Union.ai has evolved from the enterprise platform for the Flyte orchestrator into a full-stack AI development environment covering orchestration, model training, inference, and observability. Its flagship open-source projects include Flyte, now at over 80 million downloads, and Pandera, a data validation framework topping 100 million downloads. The company reports that more than 3,500 organizations rely on its infrastructure to build and deploy AI systems. By unifying data, models, and compute, Union.ai aims to eliminate the brittleness of legacy pipelines and boost developer velocity in AI workflows. Recent plans focus on accelerating product development, expanding engineering and field teams, and deepening investment in its open-source community. The Bellevue-based firm’s momentum is reinforced by surging demand for AI orchestration solutions and its clear commercial traction tied to open-source adoption. Its $38.1 million Series A financing bolsters the balance sheet for these growth initiatives.

Participated · Seed · Feb 2026

Adaption Labs is an AI research company focused on moving beyond static, parameter-frozen models by creating systems that can learn continuously from real-world interactions. Co-founded by Sara Hooker and Sudip Roy, the team emphasizes efficiency and adaptability over brute-force scale, designing models that structurally understand user needs and adjust their behavior on-the-fly without changing core weights. This approach aims to deliver more responsive, resource-efficient AI capable of evolving alongside user requirements. The startup plans to channel recent capital into expanding operations and accelerating product development. Based in San Francisco, the company positions itself at the forefront of adaptive intelligence research, targeting applications where traditional large-scale models are too rigid or compute-heavy. Although no revenue or user figures were disclosed, the sizeable seed investment underscores investor confidence in the technology’s commercial potential.