Atomic Strata builds configurable context memory infrastructure for AI applications, agents, teams, and enterprises. Our work begins with AtomicMemory, an open source context memory engine for developers building persistent, inspectable AI context.
Our goal is to make AI context durable, configurable, and governable across the applications, agents, and organizations that increasingly depend on it.
We believe the next generation of AI systems will need configurable context that can be inspected, corrected, governed, and composed across tools, models, agents, and organizations.
The companies and institutions that adopt AI most seriously will run into the same wall: production systems need durable, structured, accountable context. We're building that layer — openly where it should be open, and rigorously where it needs to be rigorous.
AI is shifting from single-turn interaction to persistent workflows. As assistants become agents, and agents become part of teams, context becomes one of the most important layers in the stack.
Context memory has graduated from a UX detail inside chat apps to tunable production infrastructure. The teams shipping serious AI systems today are building this layer themselves, in fragments, repeatedly. We think it belongs as a shared foundation.
Atomic Strata was founded by Stanford and MIT engineers with experience building and scaling products across AI, big data, social, adtech, and enterprise software.
Veterans of large-scale data systems and production AI — the systems people who answer the pages when context is wrong.
Researchers focused on memory, retrieval, and governed agentic systems — informed by recent academic and applied work.
Founders and PMs who have shipped infrastructure products at scale, with operating experience across enterprise and consumer software.
A small group of advisors from AI infrastructure, enterprise security, and developer tooling. Names to come.
For partnerships, enterprise design partners, contributors, or investor inquiries — we'd like to hear from you.