Applications for ResDB's two early access tracks are now open. Limited to 12 organizations in the first cohort.
Today we're opening applications for the ResDB early access program. After months of working directly with select enterprise teams and infrastructure developers, we're ready to bring a first cohort of organizations into the program formally.
ResDB is organizational memory infrastructure — the layer that gives enterprises and AI agents access to coherent organizational knowledge, not just search results. The early access program is designed for two types of organizations: those building AI capabilities on top of ResDB, and those integrating ResDB into products they're shipping to enterprise customers.
We're structured this way because the use cases, evaluation criteria, and support needs are genuinely different:
For organizations deploying ResDB as internal infrastructure — to preserve institutional knowledge, accelerate onboarding, and give AI agents coherent organizational context.
For developers and product teams building on ResDB — adding organizational memory infrastructure as a core component of a product being shipped to enterprise customers.
The first cohort is limited to 12 organizations across both tracks. This is intentional — we want to work closely enough with each early access participant to actually understand how ResDB performs in their environment, learn what needs to change, and make sure the implementation succeeds before we scale.
We're not optimizing for the largest possible cohort. We're optimizing for the highest-signal cohort — organizations where the use case is a strong match, the team is committed to working through the implementation, and where success translates to a clear, measurable outcome.
The strongest candidates for the Enterprise track are organizations that have already tried to solve the organizational knowledge problem — with wikis, knowledge bases, internal search tools, or RAG-based AI assistants — and found that search-style retrieval doesn't give AI agents the coherent context they need to reason effectively. You've felt the gap between "similar" and "coherent," and you're ready to address it at the infrastructure level.
For the Integrator track, we're most interested in teams building AI-native products that depend on organizational context — agents, assistants, or workflows where the quality of the underlying memory layer determines whether the product actually works in enterprise environments.
If that's you, we'd like to talk. Applications are open now. There's no deadline, but the first cohort will close once 12 organizations are selected.
Tell us about your use case and which track fits best. We'll review and respond within a few business days.
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