Every record your team leaves behind
becomes a company asset.

How things were found, reviewed and decided stays in the same space. Your company can start its AI and digital transformation (AX/DX) with one product.

Footage and licensing

One customer email arrives,
and the whole team goes looking for files.

Files and meeting notes are scattered, so every handoff starts with asking again.

Sales

“Where did the request file go?”

The request file and the conversation about it are apart, so the reply starts with finding the latest version.

Planning

“Which requests did we accept?”

Agreements and meeting notes are kept apart, so the scope gets checked again.

Development

“Which file is the final spec?”

Revisions and their reasons sit in several places, so someone asks which version is the base.

Files and their context
are scattered all over.

  • Files
  • Chat
  • Email
  • Folders
  • NAS
  • PC
  • Web
  • Context
  • Practical know-how
  • Reasons behind decisions
  • Agreements
  • Reasons for changes
  • Review feedback

Keep these files and conversations in one workspace and manage them together.

Keep files and conversations
with the work they belong to.

Comment, chat and send for approval, right beside the file.

Files, mail and calendars come together in the same space.

AI reviews outgoing email
against your company's rules.

Use company-domain email alongside your existing accounts. AI review stops a message from being sent when it meets the blocking criteria.

Email summaries and tasks

The AI assistant in the side panel summarizes the open mail with a local model.

  • Three-line summary
  • To-do list
  • Phishing check
  • Link and domain analysis

From document review to site records,
use the workspace to fit your work.

Review office documents and site photos alongside related conversations and review records.

FilesDocumentsMailConversationsCalendarMeetings, eventsWebExternal materialAPIExternal services
→
Workspace + knowledge

Permissions and sources stay intact

→
RAG search
Workflow
Plugins · Webspace
FieldBeforeSetFN Workspace
Sales and customer support

Search mail and folders for past proposals and response records.

Search customer files and response history together.

Field operations and safety

Receive site photos and inspection documents separately, then sort them again.

Search each site's records with OCR, and confirm them through comments and mentions.

Corporate services and legal

Find the latest policy, check the clauses, then answer.

Within permitted policies, see the matching clause with its source text.

Production engineering and equipment

Find inspection records separately to check equipment and change history.

Keep equipment records and review history together, and sort recurring files automatically.

Planning and marketing

Open the existing materials and proposals and compare the wording by hand.

Search the site and product materials together and list the changes with their sources.

Research and quality

Find the files, review comments and approved versions separately to trace the decision.

Files, review comments and approvals stay in the same folder.

Records and administration

Open each scanned file and type its contents into a list again.

OCR reads the scanned text and keeps it with the original.

Use company documents
for search and model training.

Index new documents for search,
and use fine-tuning when you need consistent wording and style.

When does a model need retraining?
When information keeps changing and sources matter

Connect it with RAG.

  • New documents count right away, no retraining
  • Each employee's permissions and search scope stay as they are
  • See the path to the source behind an answer
When results have to come out the same way every time

Teach it with Fine-⁠Tuning.

  • Learns your company's writing style and phrasing
  • Build a dedicated dataset from team and personal files
  • Try the trained model right in chat

From collecting and reviewing files
to delivering the result.

The files and context found in one step pass straight into the next.

Admin

Admins manage permissions, model policies and access logs.

  • Roles and permissions
  • Access logs
  • Model policies
  • Service health
→
Workspace

Files, chats and review notes build up in one project.

  • Files and folders
  • Viewers and editors
  • Comments and chat
  • Approvals and versions
→
Data Pipeline

Incoming files are converted and sorted by the rules you set.

  • Document conversion
  • OCR / VL
  • Webhook
  • Folder automation
→
Knowledge & Model

RAG for current files, Fine-⁠Tuning for house style.

  • Chunking and embeddings
  • Contextual search
  • Fine-Tuning Run
  • AI DB
→
Collaboration and extensions

Talk with your team over the material, and add plugins for follow-up work.

  • File and folder comments
  • Chat and approvals
  • AI work reports
  • Workflows and calendars
One permission modelSearch, AI and automated actions all follow the same user and team permissions.

Who can use what: the admin decides it on one screen.

Users and permissions, what gets indexed, which AI models are allowed and server health are all handled in one admin interface. Open tasks and security status show on its home screen.

People

Users · Teams · Roles · File permissions

Data

Included paths · Processing rules · Indexing

AI

Local and external models · VL models · Embeddings

Systems

Security · Access · Disks · Service health

SetFN admin home

Start with the functions you need
and add plugins as your work requires.

Mail, calendars and workflows are added as plugins.

  • Workflow automationWhen a file arrives: convert, sort and notify
  • Business email and calendarsMail and calendars tied to the work context
  • Data collection and validationData entry, review and audit records
  • Dedicated AI modelsFrom datasets to Fine-Tuned models
SetFN Plugin Space

Before you roll it out,
check the operating requirements.

If you sort out where it will be installed, who will run it, how many users there are and how many documents you have, the scope of the rollout is easier to decide.

On-premises installation and data location

  • Who runs the servers and network
  • Backup and incident response
  • What may be sent to external AI

User scale and operating costs

  • Current and expected user count
  • SaaS account and storage costs
  • In-house staff and hardware costs

Document volume and storage

  • Current file count and total size
  • Monthly growth and retention periods
  • Extra storage for OCR and indexes

Processing speed and quality standards

  • Accuracy checked on representative documents
  • Daily throughput and processing time
  • Where people need to review

Put your internal data and AI
on a server inside your company.

Run files, email, calendars and chat on a server you install yourself. The same server can also handle knowledge indexing, conversion of unstructured information into structured data, internal AI and workflow automation.