Eventual offers scoped access and curated context for agents running in front of databases and systems.
Integrate with the agents you already use
Answer questions and take action across customer data without leaking it.
The agent pulls scoped, per-customer context from CRM, tickets, and internal docs without indexing everything upfront. As more cases are handled, useful context and resolutions accumulate into a shared knowledge layer, so the agent doesn't start from scratch each time. This leads to more consistent and accurate support responses as usage grows.
Debug incidents with the right context, not the entire repo or log store.
The agent pulls relevant context from code, logs, incident histories, and runbooks without indexing entire repos or log stores upfront. As incidents are investigated and resolved, useful traces, explanations, and resolution paths accumulate into a shared knowledge layer. Over time, the agent surfaces more relevant context faster, helping engineers understand and resolve issues with less noise.
Answer legal questions without exposing sensitive documents.
The agent retrieves scoped context from contracts, policies, and case files without treating the entire corpus as a flat index. As legal questions are answered, commonly referenced clauses, interpretations, and supporting documents accumulate into a knowledge layer. This allows the agent to provide more consistent, high-quality guidance over time while keeping legal workflows grounded in approved sources.
Screen and triage candidates without data contamination.
The agent scans resumes and candidate profiles, pulling only the scoped signals needed for evaluation while keeping employer criteria and internal notes hidden. Each screening run is isolated, so one candidate's data never leaks into another's outcome. This enables automated triage at scale without turning hiring data into a shared or overexposed index.
Get early access to Eventual for production agents.
