AI designed for organisations
that cannot afford hobby risk.

Trust is the product—and the companion

Most “personal agents” are consumer shells: broad host access, default cloud routes, weak oversight, and zero evidence trail when something goes wrong. That is fine for a weekend demo. It is unacceptable for regulated, client, or security-sensitive work—and it is exhausting for serious operators who need continuity, not novelty.

Jarvis is both altitudes: a personal agent that remembers, grows with you, and stays out of the way—and a governed team agent you can introduce under policy. Same front door. Policy before action. Isolation by default. Human approval on high-impact steps. Memory under your controller authority—not a vendor’s chat log.

Security is not a badge

When software can act on your behalf, isolation and permission are the product. Jarvis runs agent work in controlled environments, limits access to approved project material, and keeps high-impact steps behind policy and human approval where you require it.

CISOs, DPOs, and AI governance leads get a posture that can be explained in a DPIA and an incident review—not a shrug and a screenshot of a terminal.

Native SOBER and PRISM

Jarvis does not stand alone. It natively aligns with SOBER for forge-side AI review and evidence, and PRISM for harness doctrine, routing, and agent discipline across the mesh.

Memory and judgement, under your rules

Jarvis is designed to retain context that matters—decisions, preferences, and institutional knowledge—so work compounds instead of restarting. Model choice and data boundaries remain yours: local when privacy demands it, external when you deliberately allow it.