The platform

Context-aware documents. Clean data. Streamlined workflows.

The order is deliberate. Reporting is only as good as the records underneath it, and inference over a disordered corpus produces confident nonsense.

Information Management

One system of record.

Documents and files in one place, tagged as they arrive rather than months later. The departmental and function structure is configured to your organization, whether that is seven areas or thirty.

Metadata and tagging applied on ingest

Departments and functions you configure

Permissions and audit trail on every record

#142a30

scan-0142.pdf added to intake

Renamed 2026-06-referral.pdf

Tagged Dept/Lands, FY/2026

Moved to Lands referrals

Information Management

One system of record.

Documents and files in one place, tagged as they arrive rather than months later. The departmental and function structure is configured to your organization, whether that is seven areas or thirty.

Metadata and tagging applied on ingest

Departments and functions you configure

Permissions and audit trail on every record

#142a30

scan-0142.pdf added to intake

Renamed 2026-06-referral.pdf

Tagged Dept/Lands, FY/2026

Moved to Lands referrals

Office suite

Ten modules, one record.

Documents, spreadsheets and presentations authored in place, alongside notes, tasks, calendar, contacts and forms. A calendar entry, a task, a note and a document are all governed by the same permissions, the same audit trail and the same search.

Documents, spreadsheets, presentations

Notes, tasks, calendar, contacts, forms

Co-authoring with full version history

#142a30

Llama

|

Office suite

Ten modules, one record.

Documents, spreadsheets and presentations authored in place, alongside notes, tasks, calendar, contacts and forms. A calendar entry, a task, a note and a document are all governed by the same permissions, the same audit trail and the same search.

Documents, spreadsheets, presentations

Notes, tasks, calendar, contacts, forms

Co-authoring with full version history

#142a30

Llama

|

AI Workspace

Ask your own records.

Inference runs on the appliance in your building, against your corpus only. Ask a question across the whole corpus, or hand over a multi-step job: assembling a reporting package, reconciling a tracker against source documents, preparing a council package, with a person verifying the result.

Local inference, nothing leaves the building

Agentic workflows, human verified

Answers respect your permissions

#142a30

Automation level

▲ 23.4%

Feb

Mar

Apr

May

Jun

AI Workspace

Ask your own records.

Inference runs on the appliance in your building, against your corpus only. Ask a question across the whole corpus, or hand over a multi-step job: assembling a reporting package, reconciling a tracker against source documents, preparing a council package, with a person verifying the result.

Local inference, nothing leaves the building

Agentic workflows, human verified

Answers respect your permissions

#142a30

Automation level

▲ 23.4%

Feb

Mar

Apr

May

Jun

Migrate or integrate

Move what should move. Connect what stays.

Some records belong on the appliance. Some systems belong where they already are, connected to it. You decide which is which, department by department, and nothing has to change all at once.

Migrate records from your current provider

Integrate the systems you are keeping

Single sign-on and role-based access

The value

What it saves.

Estimates from our own deployment work, and marked as estimates. The rest are not.

Time to find a record

0%

Less time spent locating a record, estimated. One permissioned search across documents, files, scanned text, tasks and notes, instead of a shared drive, an inbox and a filing cabinet.

Records on premises

0%

Storage, database, search, character recognition, conversion and inference all run on the appliance in your building. Not an estimate.

Report assembly

0%

Faster assembly of a recurring report, estimated. Reports are built from records tagged when they arrived, so the quarter is assembled rather than reconstructed.

Cost to leave

0

Dollars. Export in open formats on a defined timeline, written into the customer agreement rather than a policy we can revise. Not an estimate.

How it works

How a deployment runs.

Staged, and priced at each stage. Every step produces something you keep whether or not you carry on to the next one.

Discovery

Forty hours, department by department, mapping how information actually moves. You keep the map whether or not you go further. $6,000.

Architecture

Eighty hours turning the map into a record taxonomy, retention rules and a permission model your staff will actually follow. $12,000.

Deployment

One department first. The appliance goes into your building, records migrate, staff are trained. Managed operations from $1,500 a month after that.

Plans

What it costs.

Published so you can budget before you speak to anyone. Seats are per user per month. Hardware and setup are quoted separately and listed below.

Records

The system of record, and the rules around it.

$80

/seat, per month

$80

/seat, per month

Document and file management

Metadata and tagging on ingest

Twelve departmental areas, 80 function folders

Permissions and full audit trail

Reporting templates library

Export at any time, no charge

Records and AI

Everything above, plus inference on your own corpus.

$165

/seat, per month

$165

/seat, per month

Everything in Records

AI workspace over your own records

Local inference on the EdgePod

No training across Nations

Priority support

Named account contact

Managed Services

We run and look after your system, so your team does not have to.

$1500

/month, per entity

$1500

/month, per entity

Monitoring and alerting, 24/7

Patching and software updates

Backups and quarterly restore tests

Named account contact

Quarterly service review and reporting

Onboarding and staff training

Records

The system of record, and the rules around it.

$80

/seat, per month

$80

/seat, per month

Document and file management

Metadata and tagging on ingest

Twelve departmental areas, 80 function folders

Permissions and full audit trail

Reporting templates library

Export at any time, no charge

Records and AI

Everything above, plus inference on your own corpus.

$165

/seat, per month

$165

/seat, per month

Everything in Records

AI workspace over your own records

Local inference on the EdgePod

No training across Nations

Priority support

Named account contact

Managed Services

We run and look after your system, so your team does not have to.

$1500

/month, per entity

$1500

/month, per entity

Monitoring and alerting, 24/7

Patching and software updates

Backups and quarterly restore tests

Named account contact

Quarterly service review and reporting

Onboarding and staff training

FAQs

Questions we get asked.

If the answer you need is not here, ask us directly. We would rather answer it once, properly.

Something not covered here?

Ask us directly.

How long does a deployment take?

It is staged. Discovery is forty hours, department by department. Information architecture is eighty hours and produces the record taxonomy, retention rules and permission model. Deployment then starts with one department rather than the whole organization. We do not publish a fixed timeline, because the pace is set by how quickly your own people can make governance decisions, and that is the right order.

Where does our data physically live, and who can reach it?

What happens to our records if we stop working with you?

Does any of it work without an internet connection?

What is built today, and what is not?

What does it cost, and what changes as we grow?

Does this replace Microsoft 365, or our finance system?