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Demios pairs a personal AI Twin that learns your voice with specialist agents, running on-device or with your own API keys.
Grounded in available product and source data
A privacy-first AI workspace is what Demios is built around, centered on a personal AI called Twin that's meant to work the way one specific person does rather than as a generic assistant shared across every user. The site describes Twin through four functions: it observes chats, documents, and edits to model how someone thinks and writes, remembers that context in an editable long-term memory, delegates incoming requests to the right specialist agent, and formalizes the result back in the user's own voice rather than a generic AI tone.
Routing runs through named and unnamed specialist agents — Neumann is the one agent named specifically, described as an orchestrator that classifies intent and plans how a request gets delegated, with the site indicating more than ten total agents exist without listing the rest. That delegation happens across a genuinely unified workspace: forms, tables, projects, boards, calendars, canvases, notes, and presentations all sit inside the same system rather than living in separate tools Twin has to bridge between.
Control over where AI actually runs is a stated priority. Demios Edge executes supported models on-device, cutting out cloud dependency for inference, and users can alternatively connect their own API keys — Anthropic and Cohere are named as connector options, though the full provider list isn't published. On the compliance side, the site states SOC 2 Type II and GDPR compliance, HIPAA-readiness, that Demios does not train on or store user data, and that private cloud or on-premises deployment is available with full audit logs for connectors.
Four tiers are named — Solo, Pro, Studio, and Enterprise — but two of them aren't fully live yet: the site marks Pro as 'coming soon' and Studio, which requires a minimum of two seats, as not yet open for signup. Solo is free and stated at 500 flow runs per month with 500 MB of storage. Anyone evaluating this for team use specifically should confirm current Studio availability directly, since the tier built for that use case isn't accepting signups as described here.
Its Twin feature is built specifically to learn one user's writing style and work patterns over time rather than responding the same way to everyone, then delegating tasks to specialist agents and returning results already formatted in that person's voice.
Yes — Demios Edge executes supported AI models on the user's own device, and the platform separately supports connecting a user's own API keys, both of which the site frames as ways to keep data control outside of a Demios-managed cloud model.
Not fully — the Studio tier, built for team collaboration and requiring a minimum of two seats, is stated as not yet open for signup, so a team evaluating Demios today should confirm current availability directly before planning a rollout around it.
The site describes Twin's long-term memory as editable and exportable, which suggests a user can review and change what's been stored, though it doesn't detail a specific deletion process for removing that memory entirely.
According to the site, no — it states Demios does not train on or store user data, alongside stated SOC 2 Type II and GDPR compliance and HIPAA-readiness, though these are the platform's own compliance claims rather than independently audited findings referenced here.
