AI-native
software infrastructure
for real software systems

AI-native software needs better infrastructure.
Valkor is building AI-native software infrastructure across model systems, compute environments, runtime layers, and long-running software workflows.
We care about the stack around real software work: orchestration, observability, verification, recovery, and coordination between humans, agents, and systems.
The goal is to help build the future software stack: infrastructure for intelligent systems, long-running teams, and the next generation of software products.
Latest from Valkor
research and products

Loom public preview
Loom is now available as an open-source starting point for teams experimenting with persistent, reviewable agent work.

Software is a training ground for agents
Repositories are not miniature worlds. They are useful because work produces concrete, inspectable consequences that an agent and its reviewers can learn from.

The runtime is the product
A capable model is only one component of useful agentic software. Task state, authority, isolation, review, and recovery determine whether work can survive contact with a real team.

Run records and review checkpoints
A clearer model for connecting an agent's claim of progress with the checks and artifacts behind it.
Selected work
Software is a training ground for agents
Repositories are not miniature worlds. They are useful because work produces concrete, inspectable consequences that an agent and its reviewers can learn from.
Research July 9, 2026The runtime is the product
A capable model is only one component of useful agentic software. Task state, authority, isolation, review, and recovery determine whether work can survive contact with a real team.
Conclusion June 12, 2026From prototypes to durable systems
AI-assisted prototyping is valuable. The real work begins when an experiment leaves its maker and becomes a system other people need to understand, change, and operate.

Hi, we're Valkor
Valkor explores how artificial intelligence will reshape the way software is imagined, built, and operated.
We work at the meeting point of scientific inquiry and software infrastructure, turning models, compute, and systems into open tools and products.
Our aim is to build the next generation of AI-native software.