Security First
Security should never be an afterthought. Our solutions are built with security as a foundational principle, ensuring that AI agents can access resources without compromising enterprise security.
Team
Our Values
Transparency
We're building systems that are transparent and explainable. AI agents should be able to articulate why they need access to resources and what they intend to do with them.
Human-Centered
While we're building infrastructure for AI agents, our ultimate goal is to empower humans. We design our systems to augment human capabilities, not replace them.
Bryan Russett
An experienced technology leader and entrepreneur, Bryan co-founded Datalogue, an AI-enabled data platform trusted by major enterprises, which was acquired by Nike in 2021. He subsequently directed product and infrastructure efforts at Caurus, expanding it into a seven-figure operation. His expertise centers on connecting sophisticated infrastructure with measurable business results, assisting Fortune 500 organizations in resolving significant data challenges.
Alex Kesling
During his tenure at Google, Alex made contributions to core systems across Search, Knowledge Graph, and time series infrastructure at scale. He has also supported emerging XR technologies and maintains involvement in the Rust and open data sectors. His work with initiatives like DataFusion have been presented in industry fora. Alex demonstrates skill in converting complex technical challenges into practical implementations with substantial user benefits.
Eliot Hedeman
Eliot is a systems engineer who specializes in building and scaling high-performance infrastructure for massive, real-world workloads. With over a decade of experience at Meta, he has led critical systems across live video, ML platforms, and large-scale AI training, with a focus on distributed systems, reliability, and the boundary layers between languages. Known for his deep expertise in Go, Rust, and Python, he thrives on solving hard backend problems and designing resilient systems that other engineers depend on.
Ben Barber
Ben is a systems engineer with a bias for building things the hard (and correct) way, owning problems end-to-end, from distributed runtimes to high-performance simulation tooling. He brings deep experience in Rust, with a focus on concurrency, async systems, and performance tradeoffs. Outside of core infrastructure, he writes shaders for fun and is quietly working toward becoming a gaming cyborg. He gravitates toward small teams, sharp problems, and systems that need to actually scale.