Noema for organizations

Private AI,adapted to your business.

Deploy Noema Teams with your company’s knowledge and access controls. Work with NoemaAI on a custom model pilot for specialized workflows and private deployment on supported devices.

Deploy, connect, adapt.

Each offering builds on the same private Noema app your employees use on iPhone, iPad, and Mac. Start with one and add the others when a workflow calls for them.

01Console available

Noema Teams deployment

Prepare a protected workspace, manage console access and distribute encrypted knowledge. Your company approves device access and signs its policies through a connector you control.

  • Verified work-email enrollment
  • Customer-approved devices and signed access policies
  • Encrypted publishing with separate device approval

Protected employee workflows arrive with Noema 4.2.

02App support in 4.2

Company knowledge workflows

Use encrypted offline datasets or retrieve authorized passages directly from your company connector. Original documents, private indexes and decryption keys stay in your environment and on approved devices.

  • Internal reference and document lookup
  • Onboarding for new employees
  • Source-grounded drafting

Connecting documents is retrieval. It does not train the model.

03Pilot

Custom model pilots

A guided engagement to adapt a model with data you approve, for your terminology, output formats, and workflows, then evaluate it on your task and your hardware.

  • Classify company-specific requests or documents
  • Extract into your required fields and formats
  • Draft in approved terminology, structure, and style
  • Use permitted tools more reliably in one workflow

Scoped pilots with defined deliverables and acceptance criteria.

Where private AI earns its place.

Illustrations of work we can scope with you, not published customer results. Each one starts with a named task and a measure agreed before any change is made.

  1. Support request triage

    Classify incoming internal requests and produce a structured handover for the right team on a company Mac.

    Approach
    Adaptation on approved historical examples
    Measured by
    Correction time and label accuracy
  2. Onboarding and reference

    Answer new employees’ questions from the handbook and current procedures, with the sources shown.

    Approach
    Retrieval with role permissions
    Measured by
    Answer correctness and citation quality
  3. Document extraction

    Pull the fields your systems need from forms, reports, or contracts into your schema.

    Approach
    Configured prompts, then fine-tuning if needed
    Measured by
    Field validity and format adherence
  4. Drafting in house style

    Draft replies or reports in approved terminology and structure, grounded in current material.

    Approach
    Retrieval combined with adaptation
    Measured by
    Human edit time and terminology use

The method follows the task.

Retrieval supplies current facts but can miss the right source. Fine-tuning can improve behavior but can also introduce regressions. We choose from an observed need and the data available, then evaluate the complete workflow.

NeedInitial approachEvidence before expanding
Answer using changing internal informationRetrieval with permissions and source referencesAnswer correctness, citation quality, and access tests
Follow a consistent style, schema, or procedureConfigured prompts; fine-tuning on approved examples if neededImprovement on unseen cases against the configured baseline
Improve a specialized task or domain vocabularyTask fine-tuning or domain adaptationRepresentative data, a defined task metric, and retained general behavior
Reduce latency or memory for a specific workflowModel selection, quantization, and possibly distillationQuality and performance measured on the target device
Use current knowledge with specialized behaviorRetrieval combined with model adaptationEvaluation of each component and the combined result

Measured before it ships.

Pilots start from an appropriate pretrained model, including a Noema model when it fits. We record the base model, the method, and the resulting artifact at every step.

  1. 01

    Discovery

    Identify the task, the current process, the available data, and your hardware.

    A specific problem suitable for evaluation
  2. 02

    Scope

    Agree deliverables, acceptance criteria, processing location, timeline, and budget.

    An agreed pilot scope
  3. 03

    Baseline

    Evaluate the configured existing model and workflow before changing anything.

    A measured reference and its limitations
  4. 04

    Adaptation

    Prepare the approved data and perform only the customization the baseline justifies.

    A reproducible candidate and run record
  5. 05

    Validation

    Test held-out cases and measure size, memory, and latency on your target devices.

    A comparison against the agreed criteria
  6. 06

    Deployment

    Package the approved model and deliver it to the permitted pilot audience.

    Use by the pilot group
  7. 07

    Support

    Handle updates, regressions, and compatibility for the deployed model.

    A defined maintenance plan

If adaptation does not improve the agreed outcome, we say so. You receive the measurements and a recommendation for the configured baseline or another approach.

Local use and training are separate.

In a local deployment, inference runs on your supported devices. If you commission model adaptation, we agree which data may be processed, where training takes place, who can access it, and how long it is retained. Client data is not used for unrelated models or other customers without explicit permission.

Inference on your devices

With Noema 4.2, approved devices can retrieve and generate locally. Direct retrieval contacts your company connector; remote inference requires a company-approved endpoint. Protected content is not processed by Noema servers.

Approved data, agreed environment

Only data you explicitly approve is processed, in the training environment agreed for the engagement. Access, retention, and deletion of files, checkpoints, and logs are set in advance.

What the service needs to operate

Workspace accounts, billing, console roles, device-delivery registrations, audit records and encrypted artifacts. Noema does not hold the customer signing or decryption keys. Optional model adaptation has a separate agreed data scope.

Permissions apply before training. A model can retain what it was trained on, and role-filtered retrieval cannot remove it. Restricted information stays in a separate model for its permitted audience or in controlled retrieval.

Deployment and administration.

The production console manages workspace accounts and encrypted delivery. Your customer connector remains the authority for protected device access, sources and inference policy. Employee workflows ship with the upcoming Noema 4.2 app release.

01

Policy that travels with the device

In Noema 4.2, employees import a device profile approved by your company authority. The app verifies its customer signature and enforces the approved datasets, tools, models, endpoints and offline lease.

02

Governed datasets

Encrypt documents with the customer publisher before uploading an artifact to Noema. Only approved recipient devices can decrypt it. Direct retrieval keeps source files and indexes on your company server.

03

Roles with exact boundaries

Console roles govern administration and encrypted delivery. Customer-signed policies separately govern source access, models, tools, approved inference endpoints and off-grid operation.

04

Enforcement inside the engine

Noema 4.2 checks company policy where tools and inference run. An expired lease or device reboot locks protected access until a fresh policy is obtained, while retaining encrypted content for renewal.

05

Auditable access

Use verified email and DNS domain ownership for workspace enrollment. Customer connectors can integrate configured OIDC and SCIM, while customer administrators separately approve and revoke content-access devices.

06

Administration, not surveillance

The console records administrative actions such as invites, role changes, and device registrations. Employees’ local prompts and answers are not sent to the console.

07

Built for small organizations

For companies, schools, research groups, clinics, law practices, campaigns, and nonprofits that need useful AI without surrendering internal knowledge.

Technical details

Platforms
Protected employee workflows require Noema 4.2 on iOS, iPadOS or macOS; that app release is upcoming.
Policy
Customer-signed, bound to the approved employee and device, with a bounded offline lease.
Datasets
Customer-encrypted bundles and direct company retrieval; Noema stores ciphertext without decryption keys.
Models
Governance by format and by specific model ID.
Backends
Customer-approved inference origins, paths and models, checked at request time.
Identity
Configured OIDC JWT exchange and SCIM provisioning in the customer connector; deployment validation is required.
Further integrations
Provider-specific document adapters, SAML and MDM are not included in this release.

What we can show today.

We describe performance with a named task, a baseline, the hardware, and the measurement. Customer results appear here only from real engagements, with permission.

Noema answering a question from an on-device dataset on Mac and iPhone
The employee experience

Noema answering from an on-device dataset, with the evidence it used.

Noema 1.5 4B

Trained, evaluated, and released with its methodology and measured limits.

Read the model card

Published with permission

Measured results from customer pilots will appear here once an engagement is complete and the customer approves publication.

Scoped projects, ongoing support.

Pricing depends on the task, data, devices, and support you need. We propose it once the scope is clear.

Evaluation and adaptation
A scoped fee for evaluation, data preparation, and adaptation, with included iterations, deliverables, and acceptance criteria written down.
Deployment and support
Recurring Noema Teams deployment, administration, and support where your organization needs it.
Further work
Retraining, integrations, and extended support are scoped separately when you need them.

Frequently asked questions

Is custom model adaptation available now?

Yes, as a guided pilot service. Each pilot has a defined scope, deliverables, and acceptance criteria, and the work is hands-on with our team. There is no self-service training dashboard.

Does connecting our documents train the model?

No. Company knowledge uses retrieval: the model reads relevant passages when it answers, and its weights do not change. Training happens only in an adaptation project you commission, on data you approve.

What happens to data we provide for adaptation?

We agree in writing which data may be processed, where training takes place, who can access it, and how long source files, checkpoints, and logs are kept before deletion. Client data is not used for unrelated models or other customers without explicit permission.

Who can use an adapted model?

A model can retain information from its training data, so access is defined before training. A broadly distributed model is trained only on data approved for that audience; restricted information stays in a separate model or in controlled retrieval.

Who owns the adapted model?

Usage rights, export, and retention for each artifact are agreed in the engagement’s scope. The base model’s license still applies, and we record the base model and method for every artifact we deliver.

Can each employee get a personalized model?

Pilots start at the organization and task level: your vocabulary, templates, procedures, and approved examples. Role-specific prompts, knowledge access, and model assignments add further personalization. Per-employee training and continuous learning from conversations are not offered.

What if adaptation does not help?

We report it. If the adapted model does not meet the agreed criteria, you receive the measurements and a recommendation for the configured baseline or another approach. An evaluation can end in a clear decision without a new model.

How much does it cost?

Pricing depends on the task, data, devices, and support you need. We propose it once the scope is clear, with the deliverables and responsibilities written down.

Does any data leave the device in normal use?

Offline datasets are decrypted on approved devices. Direct retrieval sends a query to your company connector, and optional remote inference sends context only to an endpoint your company approves. The protected path keeps plaintext content and decryption keys outside Noema infrastructure.

Can we operate fully offline?

Yes, within the customer-signed offline lease and with the required data already installed. Off-grid policy blocks online retrieval and remote inference. Lease expiry or reboot requires policy renewal before protected work can continue.

How do we revoke access?

Revoke customer content access in your company connector. Online requests then fail and a device erases governed data when it receives revocation; an offline device remains bounded by its signed lease. Revoking a Noema delivery credential separately stops ciphertext downloads.

Do you support SSO or SCIM?

The customer connector includes configured OIDC JWT exchange and SCIM users, groups and deactivation. It requires your identity-provider setup and validation, plus independently approved device keys. SAML is not included. Native protected access arrives in Noema 4.2.

Discuss a deployment or pilot.

Email us a short description and we’ll follow up with a practical next step. Please do not send confidential datasets; data transfer follows an agreed scope and handling process.

  • Your organization and a business contact
  • The workflow you want to improve and who would use it
  • Your devices: iPhone, iPad, Mac, and their mix
  • Deployment or security constraints
  • What interests you: Teams, company knowledge, a custom model, or help choosing
  • A description of the data available and any processing restrictions