Industrial refinery — a critical physical system

Voxvertex Solutions · Physical AI

Physical AIfor critical systems.

UnderstandPredictSimulateAct

Intelligence built for the physical world — systems that can be understood, anticipated and improved.

Recognized across the technology & innovation ecosystem.

01 / Recognition

NASSCOM CoEEcosystem
NASSCOM DeepTech ClubProgram
JewelStart by GJEPCAccelerator
IPTIFEcosystem
MathWorks AcceleratorAccelerator
KIET TBIIncubation
iHUBEcosystem
AIC-GTUIncubation
NASSCOM CoEEcosystem
NASSCOM DeepTech ClubProgram
JewelStart by GJEPCAccelerator
IPTIFEcosystem
MathWorks AcceleratorAccelerator
KIET TBIIncubation
iHUBEcosystem
AIC-GTUIncubation
02The physical world

The physical world is not static.

More data does not automatically create more understanding.

System

LIVE

Load

70 %

Temperature

411 °C

Pressure

26 bar

Flow

1,279 t/h

Material

0.91 grade

Energy

36 MW

Environment

3.49 Hs m

Time

60 cycle

Variables: Load, Temperature, Pressure, Flow, Material, Energy, Environment, Time — constantly in motion around a physical system.

03The intelligence gap

From signals to system intelligence.

Voxvertex applies Physical AI to understand how critical systems behave, change and respond.

STATE BAND
State — stage 2 / 6
04The Physical AI loop

One intelligence loop.

Six capabilities. One continuous loop. Explore how each transforms the same physical system.

68%LOAD82%THERMAL34%VIBRATION
Understand mode

System state — a live, coherent picture of the asset.

05The Voxvertex differentiation

Different physical worlds.
One intelligence problem.

Energy / Refining — critical physical system environment

Environment 01 / 07

Energy / Refining

PRESSURE

24.6 bar

TEMP

412 °C

FLOW

1,240 t/h

One Physical AI approach. Adapted to the system.

07Business outcomes

Intelligence matters when it changes a physical outcome.

  1. 01

    Physical system

    Rotating and process equipment under variable load

  2. 02

    Physical AI capability

    State estimation + degradation prediction

  3. 03

    Operational decision

    Intervene before an abnormal regime becomes a failure

  4. 04

    Business outcome

    Fewer unplanned events on critical assets

08Technology

Built for physical reality.

01

Siddhānta

Physical AI engine

PHYSICAL SIGNALSSYSTEM REPRESENTATIONINTELLIGENCEDECISION

Intelligence grounded in the physics of the system it observes — built to reason about state, behaviour and change.

02

Digital Twin

Dynamic system representation

PHYSICALDIGITAL

A living representation of the physical system — its state, relationships and constraints — not a static model.

03

What-If Simulation

Alternative physical futures

WHAT-IF AWHAT-IF B

Explore how the system responds before a decision touches the asset — safely, reversibly, at speed.

09Who we are

We build intelligence for the physical world.

Voxvertex develops Physical AI capabilities for complex systems where understanding behavior, anticipating change and improving decisions matter.

Physical-first

We start from the physics of the system — not from the data that happens to be available.

System-level

Assets do not operate alone. We model behaviour at the level where outcomes are decided.

Outcome-driven

Intelligence is measured by what changes in the physical world — nothing else.

Precision manufacturing floor — the kind of physical system Voxvertex works on

Voxvertex Solutions Private Limited — India · Global

10Vision

From intelligent assets to intelligent critical systems.

Scale 01

Asset

Scale 02

Process

Scale 03

Facility

Scale 04

Network

Scale 05

Infrastructure

Building intelligence for the systemsthat keep the world moving.

Engage

Have a critical systemto understand?