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Product · Roadmap

What we are building

Our work is grouped into three waves. P0 is the day-one trust surface that gets us past procurement. P1 is the operational depth that makes the product feel finished. P2 is the long-tail differentiators that turn a competitor into a category. Items move between sections as priorities shift.

See the changelog for shipping receipts.

Wave P0

Day-one trust surface

Everything an enterprise reviewer needs to sign off before a single seat is bought: data residency, public security posture, signed agent manifests, and four-eye admin actions.

  • Data residency in US, EU, and UK

    Shipped

    Pick a region at Workspace creation and your data stays there. Inference, email, and retrieval all stay in-region.

  • Signed agent manifests

    Shipped

    Every agent is signed at upload and verified at install; tampered manifests are refused at the gate.

  • Four-eye admin actions

    Shipped

    Privileged operations require a second admin to approve; both reviewers are recorded in the audit chain.

  • Hash-pinned approvals on every external write

    Shipped

    An approver sees the exact payload an agent will execute. The platform refuses to run a payload whose hash does not match.

  • Public DPA, subprocessor list, and live status page

    Shipped

    Trust signals live at /legal/dpa, /legal/subprocessors, and /status; everything updates automatically when we add a vendor or open an incident.

  • Cookie consent banner with UK GDPR essential-only default

    Shipped

    The banner asks once and remembers your choice for six months. Non-essential cookies stay off until you opt in.

Wave P1

Operational depth

What makes the product feel finished: durable runs, per-stage model routing, queue-backed external writes, rich audit exports, and a marketplace that is actually a marketplace.

  • Durable, crash-safe runs with isolated sandboxes

    Shipped

    Agents pick up where they left off after a transient failure. A sandbox isolates code execution from the platform.

  • Outbox + queue infrastructure

    Shipped

    Writes to external systems are queued and retried so a connector hiccup never silently drops work.

  • Per-stage model routing

    Shipped

    Each agent stage picks the model best suited for the task; cheap models do triage, capable models do reasoning.

  • Marketplace install metering and ratings

    Shipped

    Public install counts and aggregate ratings backed by signed receipts; reviews require a verified install.

  • Marketplace payouts via PayFac

    In progress

    KYC/KYB onboarding for sellers, with split card acceptance and payouts. Specific vendors are listed in the subprocessor page.

  • Per-Workspace audit-chain export

    In progress

    One-click export of the entire tamper-evident audit chain with the chain head pinned at export time.

  • Healthcare BAA pack

    Planned

    BAA-ready Workspace template with PHI-aware connectors, audit retention policies, and de-identification helpers.

Wave P2

Long-tail differentiators

Where the product stops looking like a competitor and starts looking like a category. Customer-tunable safety policies, evaluation runs as a first-class artifact, and marketplace integrations.

  • Customer-tunable approval policies

    In progress

    Per-tool, per-agent approval thresholds with optional dual control. Configurable in the dashboard.

  • Evaluation runs as a first-class artifact

    Planned

    Run an agent against a graded test set and ship the eval report alongside the agent in the marketplace.

  • Bring-your-own-key model providers

    Planned

    Enterprise customers can plug their own model accounts in for billing and data-handling separation.

  • One-click provisioning from a partner marketplace

    Planned

    Spin up an AgentHub Workspace from a partner marketplace with auto-injected configuration so the first run works without setup.

  • Public roadmap voting

    Planned

    Customers can upvote roadmap items so we know which ones to pull in.

Got a request?

Tell us what you would like next. Email hello@mvsagents.ai with your use case and we will get back to you with an honest answer about timing.

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