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    Data-resident

    Local AI. Your data stays yours.

    A complete local AI system installed on hardware in your office. No cloud. No third parties. No subscription leakage of your most sensitive data.

    / Why local

    The case for keeping AI inside the building

    For teams handling confidential research, clinical information, or sensitive IP, a local AI system is not a compromise — it is the only sensible default.

    / 01

    Your data never leaves the company

    Every prompt, every document, every response stays inside your walls. Nothing is synced, shared, or silently used to improve someone else's product.

    / 02

    Works offline

    Usable without an internet connection. Unaffected by outages, cloud provider status pages, or a customer firewall cutting outbound traffic.

    / 03

    No subscription leakage

    No per-seat fees to a cloud AI provider. No usage-based surprises. Your running cost is hardware and electricity, not a meter spinning against you.

    / 04

    GDPR and internal compliance by design

    Built to meet strict confidentiality requirements in life science, diagnostics, and medtech. There is no third-party data processor in the loop because there is no third party.

    / 05

    Full control over the models

    You decide which models are used, how they are configured, when they are updated, and what they are allowed to do. No vendor changing the rules overnight.

    / 06

    Clear responsibility split

    Hardware vendor warranty stays intact. We take responsibility for the software layer and configuration, so there is no confusion about who owns what when something needs attention.

    § When it fits

    When local AI is the right call

    A local system earns its place in life science, diagnostics, and medtech environments — any context where data confidentiality is business-critical, not a nice-to-have.

    01

    Analysis of confidential research data

    Ask questions against internal data that you would never paste into a cloud chat window — experimental results, unpublished findings, early-stage screening data.

    02

    Internal knowledge work on patient or clinical information

    Summarize, draft, and query across internal clinical documents without any of it crossing the boundary of your organization.

    03

    IP-sensitive formulation and development work

    Use AI as a thinking partner on proprietary formulations, methods, and specifications while the material stays strictly internal.

    04

    Competitive intelligence on unpublished material

    Draft and iterate on sensitive commercial analysis — pricing, positioning, counter-strategies — without any of it being logged by an external provider.

    / How we deliver

    Plan. Install. Enable.

    A deliberately small number of steps, because the point is to give you a working system and a team that can use it — not a long project plan.

    01

    Plan

    We understand your data environment, your confidentiality requirements, and the work you actually want AI to help with. The output is a concrete plan, not a brochure.

    02

    Install

    We install and configure a local AI system matched to how you work. It is set up on your premises, on hardware you own, inside your environment.

    03

    Enable

    We train your team on everyday use, hand over clear documentation, and agree how we support it going forward. You are left with a system you can actually operate.

    § Next step

    Keep the data inside.

    If your work is too sensitive for a cloud chat window, a local AI system is the grown-up answer. Let us talk about whether it is the right fit for your team.