Refinery Industrial AI OS
Data and documents scattered across your operations are connected into a single body of industrial knowledge.
AI understands the field and supports every operational decision, from predictive maintenance to quality, energy, and autonomous operation.
From Data
to Intelligence
Field data is connected and, through an ontology,
given meaning that leads to AI-driven decisions.
Whatever the industry or challenge,
a solution optimized for every field
Refinery Industrial AI OS learns and solves
the unique challenges of each industry.
automated ESG reportingAutomotive & MobilityVibration-based predictive maintenance,
energy intensity by lineElectronics & PrecisionPower quality and outage monitoring,
live microclimate controlSteel & MaterialsSteadier heat-treatment quality,
peak demand controlChemicals & MaterialsUtilities managed as one,
combustion efficiency and carbonMachinery & PlantShared utilities run to demand,
energy intensity by processFood & BeverageRefrigeration efficiency analysis,
quality temperature monitoring
act before failureSensor monitoringScattered sensors on one screen,
unusual combinations flaggedPower managementUsage made visible by asset,
peaks and anomalies managedPower qualitySag, swell and harmonics watched,
events recorded automaticallyFactory energy managementElectricity, gas, steam and water as one,
intensity against outputEnergy optimizationWaste segments surfaced,
peaks cut and held downQuality predictionProcess conditions joined to results,
defect causes traced
Everything your operations
need, in one OS
From collecting and visualizing data to making decisions,
every capability your operations need lives in one operating system.
Ask a question, and
the ontology finds the answer.
The AI reasons over asset, task and history
data in the ontology to infer causes and
answer conversationally. The data sources
behind the answer are given too.
Layer onto what you have,
or start from scratch either way,
with no disruption
Integrates bidirectionally with your legacy, cloud and AI tools,
and builds from data collection up where no system exists.
Wherever you operate,
an uncompromising
security framework
Customer data is not used to train AI models.
With on-premises deployment, data does not leave your company.
Data encryption
Encrypted with TLS 1.3 in transit
and AES-256 at rest.
Keys are held separately
in an HSM.
Multitenancy isolation
Each organization’s data is fully isolated.
PostgreSQL RLS and network-level separation
block cross-tenant access.
IT/OT boundary security
Industrial control: manufacturing, energyOne-way transfer from field edge (Silo/Agent) to cloud.
Reverse intrusion into control systems
is blocked at source.
Audit Log & RBAC
Every API call and task record
is stored securely.
Role-based access control (RBAC)
enforces least privilege.
Before platform adoption,
frequently asked questions
it depends on the scale of your operation
and the complexity of your existing systems.
We’ll share an exact timeline through consultation.
encrypted with AES-256,
with per-organization isolation
(PostgreSQL RLS), RBAC, and audit logs.
An on-premises deployment option is also available,
in which case data does not leave your company.
Each customer’s data is kept fully isolated.
It runs as a unified intelligence layer on top of your
existing systems
and integrates bidirectionally with them.
Where no system exists, we build from a template
shaped by 30 years on site
(an energy management
system, for example). Both paths are supported.
are currently provided in Korean.
We plan to expand English support.
Choose flexibly according to your security policy.
