Three altitudes. One agent. More restrictive than the EU baseline.

Grows with you.
Stays under your authority.

Jarvis is the private AI operating layer for enterprise teams, for personal agents on serious work, and for trust-sensitive environments—NGOs, space programmes, authorities, and anyone else who cannot gamble with sensitive context. Memory that compounds. Presence that stays out of the way. Policy stricter than what EU law merely demands.

1 · Enterprise 2 · Personal 3 · Trust-sensitive SOBER + PRISM

Open workspace Three altitudes Trust & compliance

Dual altitude · made explicit

Three ways in.
One trustworthy agent.

Same product, three clear altitudes. Pick where you start. The trust model does not get optional when you scale.

01

Enterprise agent

Finally introduce a serious, policy-driven agent
your team can trust.

Governed capability for the organisation—not shadow IT with a plugin store.

CISOs, DPOs, and AI governance leads get a single front door: risk classification, human oversight, change control, and evidence. Engineering gets velocity without unreviewable blast radius. Leadership gets command without losing the keys.

Policy-driven team agent

Finally introduce a serious, policy-driven agent to your team—one they can trust. Single front door, human oversight, change control. Not a swarm of unmanaged chat bots under every desk.

Leadership command layer

One place to direct work, review outcomes, and keep AI practice aligned with how the company actually operates—and with what security and legal will sign.

Evidence, not vibes

Who authorised what, which tools ran, which model class saw which data. When the auditor or the incident ticket lands, you have a chain of authority—not a shrug.

02

Personal agent

For people who carry real work—
not another chat toy.

Memory that compounds. Grows with you. Never in the way.

Decision makers and developers with serious projects need an agent that holds context, sharpens judgement, and disappears when focus matters. Jarvis is that partner—on infrastructure you control, with power that stays inside boundaries you set.

Memory that compounds

Jarvis retains what matters—decisions, preferences, project truth—so you stop re-briefing a blank chat every morning. Context grows with the work, on infrastructure you control.

Grows with you

From solo operator to leadership desk to full team mesh: one agent identity, deeper capability over time. It learns your standards without turning into a noisy companion app.

Never in the way

No gamified interruptions. No forced cloud hop. It works when you call it, respects silence, and keeps high-impact steps behind your authority—so it earns a place in the daily stack.

03

Trust-sensitive environments

NGOs. Space. Authorities.
They all love Jarvis.

Where a misrouted paragraph is a reportable event—not a funny demo fail.

Environments that already live under ethical, legal, or mission bars do not need “move fast and hope.” They need an agent whose defaults are stricter than the minimum statute—and still usable by humans who ship real work.

Authorities & public sector

Citizen data, classified handling paths, procurement scrutiny. Defaults that favour containment and logging—so AI assistance does not become a constitutional incident.

Space & critical programmes

Mission software, export-controlled context, long programmes with zero appetite for silent outbound. Isolation and explicit routes are not optional extras.

NGOs & regulated nonprofits

Donor data, field reports, partner confidentiality. A trustworthy agent for people who already live under high ethical and legal bars—and refuse hobby risk.

Counsel, clinics, client work

Wherever a misrouted paragraph is a reportable event. Local-first memory, barred cloud classes, human gates on high-impact steps.

Same product. Three altitudes. Zero hobby risk. Start personal. Scale enterprise. Deploy where trust is non-negotiable. You never swap stacks or lower the bar.

Market reality

Hobby agent runners are not
enterprise controls.

Hermes, OpenClaw, PicoClaw, AlphaClaw, NanoClaw, and the rest of the weekend-stack parade optimise for clever demos on a laptop. They are not designed for GDPR-regulated processing, client confidentiality, or security-sensitive environments where a single misrouted context is a reportable event. Calling that “AI transformation” does not make it defensible in front of a DPO, a CISO, or an auditor.

No real security boundary

Most consumer agent stacks run as “the user, but faster”: full filesystem reach, broad shell, keys in the environment, plugins from the internet. That is a personal experiment—not an enterprise control plane.

Silent data exfil paths

Default cloud models, telemetry, tool marketplaces, and “just paste the ticket” workflows turn sensitive context into someone else’s training corpus or log stream. GDPR does not care that it was convenient.

No human oversight model

The EU AI Act expects meaningful human oversight for systems that affect people and operations. A chat window with auto-run is not oversight. An approval ledger is.

No evidence for audit

When the incident ticket lands, “the agent did something” is not a control. You need who authorised what, which tools ran, which model saw which class of data, and what was denied.

Jarvis is the answer when the question is trust. Not another chat shell with plugins. A governed agent operating layer your organisation can introduce to the team without pretending compliance is optional.

Who Jarvis is for

Serious people. Strict policy. Sensitive work.

From the individual operator who needs a durable personal agent, to the company that already knows unrestricted agents are a non-starter—and still needs the upside of AI that can actually work.

Decision makers

A continuous personal agent for strategy, briefings, and judgement calls. It carries context forward, prepares the next move, and stays quiet when you are in the room.

Developers with serious projects

Ship against real codebases with memory of the repo, your standards, and prior decisions. Project-bound by default; SOBER on the forge when it matters.

CISO & security architecture

Tool isolation, least privilege, outbound control, and evidence—not another shell that inherits the operator’s full home directory and API keys.

DPO & legal / compliance

Personal data and regulated records stay under your controller authority. Model routing is explicit. Purpose stays documented.

CAO / AI governance leads

Introduce a team agent as a managed capability: risk classification, human oversight, change control—not shadow IT with a cute mascot.

Trust-sensitive operators

NGOs, space, authorities, clinics, counsel—environments where “move fast with someone else’s agent stack” is not a strategy.

Trust, GDPR & EU AI Act posture

More restrictive than the statute.
Usable enough to ship.

IT decision-makers do not buy vibes. They buy a story that survives legal review: purpose limitation, data minimisation, controller authority, human oversight, logging, and the ability to say no when a model or tool path is wrong for the risk class. Jarvis is engineered so that story is true in the product—and so the controls run tighter than the EU baseline, not merely compliant on paper.

GDPR / data protection

Processing stays on infrastructure you control by default
Sensitive classes can be barred from external model routes
No advertising model; no silent training on your materials
Access is explicit; least privilege is the default posture

EU AI Act orientation

Human oversight paths for high-impact actions
Transparency of what ran, under which policy
Risk-aware introduction: pilot → governed rollout
Accountability sits with your organisation—as it should

Security operations

Isolated agent workspaces; no whole-home free roam
Approval gates before destructive or privileged steps
Outbound network locked down unless policy opens it
Evidence suitable for incident response and audit pulls

Isolated workspaces

Agent work runs in controlled environments. By default, activity is limited to the project you choose—not the entire workstation or personal files.

Explicit access only

Extra folders and systems open only when an operator grants them. Sensitive paths stay closed by policy, not by hope.

No silent internet by default

Untrusted steps do not reach the open network unless policy says they may. Outbound traffic is intentional—and attributable.

Policy before action

High-impact commands can require human approval. Decisions are recorded so security and compliance can reconstruct the chain of authority.

Model routing under policy

Keep high-sensitivity classes on local or private models. Permit stronger cloud models only for classified workstreams you define. The controller stays the controller.

Human oversight, not theatre

Jarvis is built as a single operator front door with gates—not a free-for-all multi-agent playground. Oversight is a product path, not a slide in the DPIA appendix.

Read how isolation works → · Threat model → · Policy model →

Native stack

Jarvis + SOBER + PRISM.
One trust chain.

Enterprise AI fails when the agent, the merge gate, and the harness doctrine are three unrelated tools duct-taped by a tired platform team. Jarvis integrates natively with the sovereign stack you already run for review and agent discipline.

Forge review

SOBER

Local-first repository governance and AI code review on your machine and forge. Evidence, advisory labels, human merge authority—so agent-written changes still meet the bar before they land.

sober-dev.pages.dev →

Harness doctrine

PRISM

The harness suite for agent rules, routing, loop memory, and steering— so every agent in the mesh shares one constitution instead of freelancing policy in a random AGENTS.md fork.

PRISM harness on the forge →

Operator front door

JARVIS

The agent your people talk to. Policy-bound execution, memory under your roof, and a cockpit that keeps authority with humans while specialists and tools run inside the mesh.

Open workspace →

What you actually get

Trust that compounds—session after session.

Memory that compounds under your roof

Personal and organisational context accumulate on infrastructure you control—so you stop re-leaking the same secrets into fresh chat sessions every Monday.

One front door—solo or organisation

Start as your personal agent. Scale to a governed team mesh without swapping products. Operators direct work; specialists and tools run under policy.

Serious projects, not toy demos

Built for decision quality and shipping velocity on work that actually matters—with boundaries that still hold when the stakes are client data or production code.

Native SOBER + PRISM

Forge-side review and harness doctrine are first-class peers—not plugins duct-taped after the first incident. Governance at write time and at merge time.

How you work with it

Connect. Command. Oversee.

Clear surfaces for different jobs: admit systems, operate day to day, and give stakeholders visibility without sharing full control.

Connect

Link agents and tools across the organisation through a controlled gateway. Capabilities are admitted, not scraped from random marketplaces.

Explore connected tools →

Command

Operator workspace with status, extensions, and human approval for high-impact steps. No silent auto-merge of critical changes.

Open workspace →

Oversee

Stakeholder visibility without handing over policy authority. The board sees outcomes; security sees controls; operators keep the keys.

Controller authority

Local-first by design.
Cloud only under policy.

Jarvis keeps conversations, documents, and institutional memory on infrastructure you control. When a task needs an external model, that choice stays explicit—and can be denied for entire data classes.

No advertising model. No silent training on your materials. No third-party access by default. Your organisation remains the authority—and the party accountable under EU law.

Isolated agent workspaces

You

Set access and approvals

0

Required vendor lock-in

An agent that grows with you—
and that counsel can live with.

For decision makers and developers with serious projects: memory, continuity, zero theatre. For companies with strict AI policy and sensitive information: governed trust instead of hobby risk. Same Jarvis. Same front door.

Open workspace About Jarvis