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The eye of S.A.L.T CI

S.A.L.T CI IRIS Vision

The eye of S.A.L.T CI. Point a camera at a name card, a whiteboard, a document or a product, and IRIS reads it, understands it and reports on it, on local vision models, on the organisation's own servers.

13 vision categoriesName cards to contactsWhiteboards to notesDocuments and chartsFour output languagesAn app and a shared serverLocal-first
IRIS · capture
Ir. Lim Wei Han
Senior Engineer
Contoh Engineering Sdn Bhd
weihan@contoh.my
Name card Product Document Equipment
IRIS · result
Category · business card · confidence high
NameIr. Lim Wei Han
TitleSenior Engineer
OrganisationContoh Engineering Sdn Bhd
E-mailweihan@contoh.my
Add to contacts Add to attendance
Illustrative screens; names are examples.
01 · Why IRIS

So much work starts with something on paper

Name cards from a meeting, a whiteboard full of decisions, a scanned form, a photo of a nameplate on a machine. Someone usually types it all in again by hand.

Retyped by hand

Cards, forms and boards are copied into systems by people, slowly and with errors.

Sent to foreign clouds

Popular vision services upload every photo, including identity documents and internal papers, to someone else's servers.

One tool per job

A card scanner, an OCR tool, a chart reader: separate apps that do not feed the systems people use.

Two ways to use IRIS

As an app

Point, capture, understand

  • A camera-ready web app installable on any phone
  • Choose a category or let IRIS decide
  • Get a structured result and a written report
  • Save, share or send it on
As a shared server

The eye of every application

  • MOM Studio: name cards to attendance, whiteboards to minutes
  • TERAS: pictures in chat and documents
  • PANGLIMA: understanding what is on screen
  • Any app, through one API
02 · What it reads

Thirteen categories, one eye

IRIS classifies each image, applies the right reading for its kind, and returns structured fields as well as a plain-language description.

Business cards

Names, titles, organisations and contact details as fields.

Documents and forms

Text, sections, tables and form fields from printed pages.

Whiteboards and diagrams

Notes, decisions, lists and arrows from boards and flip charts.

Charts and data

Values and trends read from charts and printed tables.

Products and packaging

Product identity, labels and multilingual packaging text.

Equipment

Nameplates, models, serial numbers and visible condition.

Damage and defects

Visible damage described for inspection and claims.

IDs and certificates

Fields read for verification workflows, with personal data handled on site.

Scenes and places

What is in a scene and where, for site and field reports.

Vehicles

Type, markings and visible details.

Screens

What is on a captured screen, for desktop assistance.

Signs and notices

Text in Malay, English, Chinese and Arabic scripts.

Plus a general category for anything else. Accuracy depends on the vision model chosen; larger models read dense handwriting better.

Photos arrive the right way up

Phone photos carry their rotation in hidden metadata. IRIS straightens every image before reading it, so a sideways whiteboard is read as well as an upright one.

03 · How it works

Capture, classify, read, report

Every image passes through the same five-stage pipeline. Each stage can be tuned, and each runs on the organisation's own models.

1Capture

Camera, upload or another app; straightened and resized

2Classify

Which of the categories this image belongs to

3Read

A local vision model with a prompt for that category

4Research

Optional: context from the knowledge base or permitted web

5Report

Structured fields and a written report

Two reading modes

Full mode

Identify and research

A detailed reading with identification and research synthesis, for products, equipment and scenes where context matters.

Meeting mode

Lean and fast

A short prompt for whiteboards, name cards and pages, used by MOM Studio so meetings are processed quickly.

Output

Four languages

Results in Bahasa Melayu, English, Mandarin or Arabic.

Batches

Several images in one request, such as all the cards from a meeting.

Reports

A written report per image or per batch, ready to save or attach.

Configurable limits

Image size, quality, timeouts and the length of each answer are settings, so an administrator can trade speed for detail per deployment.

04 · Inside the platform

The eye every application shares

IRIS is built once as an MCP server. Improve the eye, and every application that reads an image gets better the same day.

ApplicationWhat IRIS does for it
MOM StudioName cards into the attendance list; whiteboards, slides and printed papers into the minutes, in meeting mode
TERASPictures attached to chat, and scanned or handwritten pages in knowledge collections
PANGLIMAScreen awareness for the desktop companion: what the person is working on
TERUSANReading supporting documents attached to a case, at the AI autonomy level the step allows
SENTINEL and TETAMUScenes and documents where a still image needs a written description
Any applicationOne API for capture, classification, reading and reports

Example: a meeting, end to end

1Snap

Nine name cards and two whiteboards

2IRIS

Cards to fields; boards to notes

3MOM Studio

Merged with the transcript

4Minutes

Attendance table and decisions filled in

A photo never blocks the work

If one image cannot be read, the others still go through. The calling application gets a clear warning naming the image instead of a failure.

05 · Sovereignty & deployment

Photos of people and papers stay on site

Identity cards, internal papers and faces are sensitive. IRIS runs local vision models through the S.A.L.T CI core, and external providers are refused unless the organisation explicitly allows them.

Local by default

Vision runs on models served by TERAS on the organisation's own hardware, with no API keys and no external calls.

External providers refused

A cloud vision model can only be used when an administrator enables it; otherwise IRIS refuses to start with one.

Platform identity

Sign-in, roles and audit through the S.A.L.T CI core.

Choose the model

Small models for cards and pages; larger ones for handwriting and dense scenes. Switching is a setting.

Any hardware

A container beside TERAS on servers, VMs or private cloud; GPU recommended for vision models.

Compare before relying

Try models and prompts side by side on real photos in TERAS Model Studio.

Compared with common options

CapabilityIRISCloud vision APIsPhone scanner apps
Images stay on your serversYesNoVaries
Runs fully air-gappedYesNoPartly
Cards, boards, documents and objects in one serviceYesSeparate APIsUsually one kind
Feeds minutes, chat and workflows directlyYes, as an MCP serverNeeds integrationExport only
Malay and local scriptsYesVariesVaries

Categories describe typical offerings; individual products differ.

Part of one sovereign platform

IRIS Vision runs on the TERAS core with the same sign-in, audit and models as every other S.A.L.T CI application.

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