Most companies already have the signals they need. The difficult part is turning those signals into coordinated action before the moment passes.
Why ATLAS exists
A release can be blocked in GitHub, planned in Jira, discussed in Slack, and still have no single place that sees the whole situation. ATLAS builds that operating picture, then gives specialist agents the context and tools to carry permitted work toward resolution.
More than company search
Knowledge matters, but the product does not stop at finding an answer. ATLAS combines company memory, connected systems, monitoring, browser and computer use, specialist agents, company policy, effect controls, and recorded outcomes.
Built around the company
The company workspace comes first. Its connected systems, priorities, people, permissions, and outcomes shape what ATLAS shows and what its agents can do. The dashboard adapts as that state changes.
Ambitious capability, visible boundaries
ATLAS is designed to reduce repetitive work and expand the capacity of lean teams. Company controls define the operating boundary; tenant isolation, role checks, reversible-action policy, effect claims, audit records, retention, and off switches keep that boundary visible.
The lab behind the product
XAGI Labs is a frontier AI research lab in Thiruvananthapuram, India. Its work spans durable memory, computer and browser use, agent accessibility, evaluation harnesses, safety, and future model programs. ATLAS is where those layers have to prove useful against real company work.