Success Stories

BKOAI used mode-based alarming and predictive control to reduce nuisance alarms and improve reliability in olefins pyrolysis furnaces

BKOAI implemented advanced process control improvements and automated valve-reset logic to increase the utilization, stability, and reliability of the pressure swing system

BKOAI implemented large-scale advanced process control workflows across Texas chemical plants, improving process stability and controller uptime while reducing manual intervention

BKOAI converted PI tag mapping into a structured reasoning workflow and stored the decision path in a context graph, creating reusable decision memory with improved accuracy and traceability

BKOAI delivers automated fitness-for-service and pipeline-integrity analytics that assess in-line inspection (ILI) data, prioritize remediation, and support standards-based inspection and repair decisions

BKOAI delivered PI Vision–based operations surveillance for a large LNG facility, rebuilding PI AF into reusable templates and a standardized asset hierarchy to improve remote visibility, accelerate anomaly detection, and support scalable deployment across trains

BKOAI streamlined an LNG cooldown cargo operation by deploying a Seeq dashboard that centralized critical parameters and automated threshold alerts, supporting an efficient cooldown while reducing operational risk

BKOAI built a unified asset registry and aligned SIS tags across engineering and operations systems, improving data integrity, safety compliance, and readiness for the facility’s first cooldown cargo

BKOAI developed a simulation-aware FMEA system combining Deep Search Agents with the Agent-as-a-Service (AaaS) framework to make risk analysis adaptive and data-driven

BKOAI developed thermodynamics-informed machine-learning models to forecast power-generation output and support proactive dispatch and efficiency decisions

BKOAI transformed pump maintenance from reactive to proactive, enabling engineers to use smart alerts and diagnostics to identify potential failures earlier

A fully automated data pipeline streamlined daily commercial operations, reducing manual work and delivering insights for faster, better-informed decisions

BKOAI modernized data operations to reduce reliance on legacy systems, replacing critical workflows with scalable Microsoft Fabric and Databricks solutions integrated with Power BI and Power Apps

BKOAI transforms P&ID data into connected knowledge graphs, giving engineers faster access to context-rich information for safer, better-informed decisions

Our Deep Search Agent addresses this challenge using a retrieval-augmented generation (RAG) architecture

BKOAI helps operators protect critical assets by monitoring check valves—key components that prevent reverse flow and support system safety

BKOAI’s MCP architecture connects LLM agents with engineering simulations through a lightweight client-server framework

BKOAI’s multi-agent system maps PI points to physical equipment across SCADA, maintenance, and operational databases

BKOAI modernized power-generation data systems to improve real-time visibility and operational efficiency

BKOAI improved power-plant operations through monitoring, proactive maintenance, and staff training to support efficiency and better-informed decisions

BKOAI automated data transfer and calculations across multiple furnaces, reducing manual effort and improving adaptability to data changes

BKOAI developed a forecasting tool that uses weather and plant data to support market bidding and production planning across a 168-hour forecast horizon

Template-based asset analytics unify KPIs and calculations, providing consistent operational insights for operators and managers

BKOAI rebuilt the facility’s data architecture and migrated historical data while preserving operational context

BKOAI’s Asset Configurator standardizes asset structures and automates configuration to improve consistency and efficiency

BKOAI’s Fault Annotation Library automates real-time issue detection, enabling faster responses and more efficient troubleshooting through custom annotations and metadata

BKOAI combined real-time monitoring, troubleshooting guidance, and maintenance analytics to improve visibility into power-generation performance

BKOAI’s ML Core streamlines the development of real-time predictive models through an accessible automated machine-learning workflow