Connected sources
Equipment, business systems, historical records and vendor information.
Platform / Platform Architecture
One operational model.
Many ways to put it to work.
Connect data, operational relationships and actions in a reusable foundation. Support existing software, purpose-built applications and intelligence with shared context and clear access boundaries.
Reusable architecture
A foundation that grows
with your operation.
Build connections and asset context once, then apply them across risk assessment, fuel visibility, service execution and future applications.
Operational model
Sites, assets, events, people and work linked by their real operational relationships.
Intelligence & applications
Risk analysis, monitoring, inspections and maintenance draw on common context.
Actions & updates
Work produces findings and resolutions that return to the foundation.
Permissions and traceability span the model, applications and connected actions.
An open ecosystem
Make your existing
investments work together.
Equipment manufacturers provide signals and expertise. Service vendors perform the work. Operators set priorities. Kiban connects their contributions into the operational foundation.
Equipment manufacturers
Use available equipment interfaces and supporting information to connect the signals behind asset performance.
Vendors & field teams
Share relevant context and coordinate work without requiring every participant to use the same application.
Established platforms
Integrate supported APIs and applications. Define the source of each shared record and its update flows.
Operator applications
Build new workflows on existing connections and context, extending the foundation around the customer’s needs.
Governed execution
Confidence in the data.
Clarity in the action.
Bring access, source context and operational responsibilities into the architecture, alongside the work itself.
Security & permissions
Define access around the people, sites and work involved. Align internal and vendor roles with the operator’s requirements.
Traceability
Establish how sources, changes and workflow activity are recorded. Retain the context needed to understand a decision and its result.
Human oversight
Define review and approval points for recommendations and automated workflows. Keep operational responsibilities explicit.
Scalability
Size the deployment around sites, signals, records and users. Reuse connections and applications as the network grows.
Ownership & portability
Document authoritative records, data exchange and export requirements so the operator understands how the ecosystem works.
Forward-deployed engineering
Technology grounded
in your operating reality.
Work alongside the operator’s teams to connect systems, build useful applications and validate them against real tasks. Extend shared capabilities as new requirements emerge.
Your data. Your direction.
Your data.
Your platform.
Your future.
Your operational data is a strategic asset. Put it to work on a foundation built around your business—with the deployment choices, connected systems and applications that support where you want to go.
Your foundation.
Deploy on-premise or in the cloud. Keep your operating requirements at the center of the architecture.
Your ecosystem.
Connect the equipment, manufacturers, service vendors and software you rely on. Build on the investments and relationships that matter to you.
Your next move.
Use a shared operational model to extend existing workflows, build new applications and put intelligence into more of your decisions.
Fuel system expertsBuilt by fuel system experts.
Built by fuel system experts.
Built around you.
From tanks, ATGs and alarms to environmental exposure, fuel availability and field service, Kiban brings fuel-system expertise to the technology foundation. We connect the data with the operating reality behind it.
AI-first. Expert-engineered.
Enterprise AI.
Grounded in your operation.
Fuel-system experts and experienced software engineers work together to turn operational context into useful intelligence. Our engineering team includes people with experience at Meta and other hyperscale technology companies.
AI connected to the work.
Apply AI where it can help interpret information, retrieve relevant knowledge, support decisions and coordinate workflows. Connect it to asset history, equipment signals and the people responsible for action.
Engineers accountable for the result.
Our engineers design the architecture, implement integrations and evaluate the behavior. AI supports how we build; engineering judgment, testing and review determine what is ready to deploy.
Control built into execution.
Define data access, evaluation criteria and human review points for each use case. Validate model outputs and connected actions against the operator’s requirements.
Start with the operational outcome. Select the appropriate algorithms, models and tools. Measure the result and improve it through experience.