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Private AI · provable custody

Private AI built for sensitive data

Microfiber gives companies real AI leverage on their own data — in an environment whose custody you can control. The productivity of modern AI, without handing client data to a public API.

The problem

Regulated industries have the most to gain from AI — and the least ability to touch it.

  1. 01 / The gap is compounding

    Every quarter, the companies feeding AI their real data pull further ahead — faster work, lower costs, decisions made in minutes. This isn't a productivity bump. It's a widening gap — and increasingly, an existential one.

    the divide · quarter over quarter

    firms feeding AI their data

    you — held back

    the gap ▲

    Q1 · Q2 · Q3 · Q4 — the gap compounds, and it doesn't close on its own.

  2. 02 / Power you can't control

    Frontier models changed the world — and left whole industries behind. The barrier to entry requires handing over private data to a platform you don't control, governed by terms you cannot predict. Exposure, lost custody, sudden lock-out, dependency on a black box you can't audit. It's a liability, not an upgrade.

    your data → their platform

    Your private
    data

    public model API

    access revoked

    a black box you can't audit — and the lock isn't in your hands.

  3. 03 / Too much to lose

    The more you have to protect, the less you're able to use. The richest data carries the heaviest burden — and no frontier model ever presented a clear way to work it with private data sets.

    everything worth protecting

    Client files
    Tax returns
    PHI
    Privileged
    usable by AI≈0%
    locked awaylocked

    the richest data carries the heaviest burden — and sits unused.

The solution

Meet microfiber

A private AI ecosystem for companies who can't expose their data.

microfiber is a private, end-to-end AI ecosystem for companies whose data is too sensitive to expose. Modern AI runs on your own client data — fully in your custody, auditable, and compliant by design. The edge was never a bigger general model. It's intelligence working on the data only you have.

How it works

Watch the custody story assemble.

Your firm

app + users · api.microfiber.[tld] with your key

Microfiber boundary · data plane per-tenant isolation
Gateway

auth · routing · metadata-only logging

Retrieval (RAG)

your documents · cited answers

Your document corpus — stays inside a boundary we control.

stateless compute calls only

prompt + retrieved chunks → ← answer

Inference backend

stateless utility · stores nothing · swappable

control plane — separated by designportal · billing · login · holds no client data
A customer's application calls Microfiber's private endpoint with their own key. Inside an Microfiber-controlled boundary — the data plane — a gateway handles auth, routing, and metadata-only logging, and a retrieval (RAG) layer assembles prompts grounded in the firm's own documents and returns cited answers. Per-tenant isolation keeps every firm separate. The firm's document corpus stays inside this boundary we control. On the managed tier, only the stateless excerpts needed to answer — a prompt plus retrieved chunks — transit to a contracted inference provider under a no-retention agreement and are discarded after the response; on the owned-hardware tier, inference runs inside the boundary, so nothing transits at all. The control plane (portal, billing, login) is separated by design and holds no client data.
  1. 01 /

    Your firm

    It starts with your own app and users, calling Microfiber through a private endpoint with your own key.

  2. 02 /

    A boundary you control

    Your data lands inside an Microfiber-controlled boundary — the data plane — an environment we run and you can attest to.

  3. 03 /

    Grounded in your files

    Inside it, a gateway and a retrieval layer reason over your documents and cite their sources. Your data stays inside the boundary we control.

  4. 04 /

    Only stateless compute leaves

    Just a prompt and the retrieved chunks go out to a stateless backend that stores nothing — and an answer comes back.

The product

One private platform. For your entire team.

Generic AI starts from zero on your data — and asks you to send it somewhere you can't. Microfiber is the opposite: one private platform your whole team works through, on infrastructure you control.

microfiberpreview per-tenant · in-boundary

What did we advise this client about depreciation in 2022?

grounded in your documents
your documentsyour stack
MF·API

Developer API

Point your stack at one private, Anthropic-compatible endpoint. Your existing code works unchanged — just a new base URL and key. Build AI into your own products without your data ever leaving your control.

MF·APP

Microfiber Desktop App

Connect your work station files directly to microfiber's intelligent core, and engage directly through chat or workflows, all within the closed secure boundary with verifiable custody.

MF·CORE

Microfiber Core

Your organization's entire body of work — documents, records, correspondence — protected inside Microfiber's secure boundary and transformed into instantly retrievable knowledge.

The proof

Security is promised. Custody is proven.

Everyone in AI promises to keep your data safe. Custody is different: your data stays inside a boundary you control, and you hold the record to prove it. Every request your AI handles is written to a verifiable, metadata-only log — timestamps, models, token counts, never your prompts or documents. The accountability your profession already requires, finally extended to AI.

Custody LedgerLive
  • 17:45:57mf-coreretrieve1506554 tok3.3s

    prompt & response — not stored

  • 17:45:55mf-apimessages.create753192 tok1.7s

    prompt & response — not stored

  • 17:45:52mf-apiretrieve803583 tok1.0s

    prompt & response — not stored

  • 17:45:50mf-coreretrieve517218 tok1.6s

    prompt & response — not stored

  • 17:45:48mf-coreretrieve2286173 tok1.4s

    prompt & response — not stored

  • 17:45:46mf-apiretrieve1521180 tok0.9s

    prompt & response — not stored

  • 17:45:44mf-corechat.completion1142262 tok1.3s

    prompt & response — not stored

Requests on the record

1,291

Content bytes stored

0

Sent to a public model

0

Common questions

FAQ

Straight answers for the careful buyer.

No. We retrieve over your documents to ground answers; we never train or fine-tune on your data. Different mechanism, and the distinction is the whole point.

We don't have one. Microfiber has no proprietary model of its own to train, so there's no incentive — and no mechanism — to learn from what you feed it. Most privacy is a promise not to look; ours is an architecture with nothing to gain by looking.

Your documents stay inside an environment you control — never used for training, never retained, never mixed with another firm's. When the AI answers, only the specific excerpts it needs are processed: on our standard setup, by a contracted provider under a strict no-retention agreement; on our dedicated setup, on hardware inside your own boundary where nothing leaves at all. You choose what your obligations require.

Yes. Every request is written to a verifiable, metadata-only log — model, timestamp, token counts, never your content. It's the record your profession already requires, extended to AI: not a promise we handled your data right, a record that shows it.

See it for yourself

Stop choosing between AI and security.

See Microfiber answer real questions on your own files — in a private demo, on sanitized data, with nothing leaving your control.