INDUSTRIAL AI · ARYAVAKAV

From raw plant data
to the right decision

Vakav, the AI division of AryaVakav, brings intelligence to industrial operations. Built on the same data that powers your control systems, our AI solutions predict product quality, recommend optimal operating conditions and continuously optimize processes. All of it runs on-premises: your data stays inside your organization, and no internet connection is needed.

Product tours, a few minutes each
01 · THE PROBLEM

The data is there.
Decisions arrive late.

Your control system collects thousands of data points every second, but much of this data remains unused. Here are some common challenges in industry:

  • Predicting product quality before lab results are available
  • Finding the best process settings without trial and error
  • Reducing energy consumption and emissions
  • Making better use of existing control-system data
  • Bringing data analysis and process engineering together
DCS · HISTORIAN · LAST 24HNot analysed
WTH15 · FEED204.6 t/h
PROCESS GAS948 Nm³/t
BUSTLE GAS377 °C
02 · HOW VAKAV THINKS

Three steps to a decision

Every Vakav solution is built on the same three levels. Data enters at the first step and becomes a sharper decision at each one.

FORECAST · 8H
LEVEL 1 · PREDICTION

Prediction

Product quality and process behaviour, online, before lab results arrive.

SETPOINT · RANGE
LEVEL 2 · RECOMMENDATION

Recommendation

The optimal range for every parameter, on the control-room display, next to the operator.

COST · MINIMUM
LEVEL 3 · OPTIMIZATION

Optimization

Connecting modules together to bring the whole process to its optimum.

03 · PLATFORM

VAI, Vakav's industrial AI platform

VAI is installed on a server inside your plant and connects directly to the DCS, databases, files and IoT devices. Data is analysed where it lives and results appear on the control-room display. If the operator chooses, results are written back to the DCS.

OPC UAMODBUSMQTTHISTORIANAIR-GAPPED
Take the tourAbout 5 min
BUILD · RUN

Every model, a live workflow

Data arrives from the DCS and Historian, is cleaned and synchronised, reaches the prediction model, and returns to the control room as recommended settings and quality alarms. Scripts, workflows, schedules and apps, all in one environment.

PYTHONFLOWSCHEDULEAPP BUILDER
VAI · DRI-QUALITY-PIPELINESCRIPTFLOWAPPRunning
UA
DCSOPC UA · 248 TAGS
H
Historian24-hour archive
fx
PreprocessClean · sync
ML
MD% prediction91.55
L2
Recommended settingsTo the control-room display
!
Quality alarmIF MD < 91.0
6 NODES · 5 LINKSLAST RUN 0.82 S
04 · SOLUTION · STEEL

DRI Expert
DRI quality, before the lab

A module built on VAI for the Midrex direct-reduction process. It predicts product metallization and carbon online and recommends the optimal range for process parameters to the operator.

  • Online data from the DCS, or Historian exports and archives
  • Cleaning, synchronisation and feature selection
  • MD and C prediction with recommended settings
DRI EXPERT · MIDREXOnline
MD %91.62 / 91.55Actual / predicted
C %2.16 / 2.18Actual / predicted
FORECASTNOWMEASURED
WTH15 · feed rate193 – 216 t/h
Process gas flow917 – 981 Nm³/t
Bustle gas temperature362 – 390 °C
SAMPLE VALUES · DRI EXPERT DASHBOARD
05 · SOLUTION · VISION

Control IntelliCraft
Machine vision for engineering documents

Instrument tags, junction boxes, instrument cables and marshalling cabinets are detected automatically in PDF drawings with OCR (automatic reading of text in images). All processing runs on an in-house GPU server, and no drawing ever leaves your organization.

  • Tag detection in PDF drawings with OCR
  • Automatic I/O list matching and mismatch reporting
  • Optimized, automatic I/O allocation to cabinets, with spare and hot-spare capacity taken into account
Take the tourAbout 5 min
P&ID-104.PDF · OCR · GPU4 tags · 1 mismatch
INSTRUMENT-INDEX.XLSX
TT-2031Matched
PT-1102Matched
FT-3310Matched
LT-1250Mismatch with drawing
06 · KNOWLEDGE AI

Vakav Autonomous
a fully offline knowledge assistant

A ChatGPT-like experience that runs on your organization's own servers. It reads procedures, process diagrams and technical documents, and answers with exact source citations.

RAGPDF · WORD · EXCEL · AUDIOCITATIONS
Take the tourAbout 4 min
OFFLINE BY DESIGN

Your data never leaves

Knowledge flows from the documents in the same workspace to the answer, and nothing crosses the organization's network boundary. Separate workspaces for each unit and access levels for each user.

ORGANIZATION NETWORK · NO DATA LEAVES
VAKAV AUTONOMOUSLOCAL LLM · OFFLINE
What changed in the new safety procedure for the DR unit?
Three main changes: revised allowable gas temperature ranges, an approval step before restart, and an updated list of personal protective equipment.
SAFETY-MANUAL-1403.PDF · P.12SAFETY-MANUAL-1403.PDF · P.31
Ask a question…ON-PREM
07 · ENGAGEMENT

From assessment to operation

We start with an industrial pilot on a real problem in your own environment and move step by step to full operation.

DATA AUDIT
STEP 1

Needs assessment

Understanding the process, the available data and its gaps, and a measurable goal.

SOLUTION DESIGN
STEP 2

Design & development

Designing modules for each unit and integrating data end to end.

ON-PREM SERVER
STEP 3

Installation & testing

Deployment on the plant server and testing under real conditions.

CONTINUOUS GAIN
STEP 4

Training & support

Enabling your team and continuously improving the models.

08 · WHO WE ARE

AI, built by the people who build control systems

Since 2019, AryaVakav has built the Eagle DCS distributed control system, the APC1700 advanced process controller, instrumentation equipment and fire and gas (F&G) products. Vakav brings this control-room know-how to AI.

EAGLE DCS · CONTROL LOOP TIC-101AUTO
VAKAV AIOptimal setpoint
SP385 °C
EAGLE DCSPID controller
FV-101Control valve
TT-101Temperature transmitter
PROCESS · PVProcess
2019AryaVakav founded
Eagle DCSDistributed control system
APC1700Advanced process controller
F&GFire and gas products
09 · START

Let's start with a pilot in your plant

Pick one concrete problem in your process. We'll show, in your own environment, what value industrial AI creates.

sales@aryavakav.com+98 21 2637 4300 · +98 21 2637 4301No. 340, Shahid Kolahdouz St., between Varasteh & Fakourian, Tehran, Iran