Mission
Transform raw fiber optic data into real-time, predictive intelligence for safer, smarter, and more efficient oil production and infrastructure monitoring.
The Challenge
The oil & gas sector lacked scalable, cost-effective ways to proactively detect well anomalies or optimize production flow. Traditional monitoring methods were reactive, expensive, and slow to scale across remote infrastructure.
What Subhayu Delivered
As the AI leader at LYTT, Subhayu engineered the company’s AI backbone—developing over 140 proprietary models for Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS) data analytics:
Upper Completion Monitoring: Acoustic pattern recognition models enabled early detection of anomalies—minimizing downtime and unplanned maintenance.
Lower Completion Optimization: Real-time AI models predicted production performance—enhancing extraction efficiency.
Scalable Deployment: Designed to run across BP’s global assets and other industrial environments.
Beyond Oil & Gas — Expanded Applications
Subhayu extended the platform’s value across sectors by repurposing underused fiber infrastructure:
Marine Intelligence: Partnered with the UK Government to monitor marine life and sub-sea anomalies using offshore fiber cables.
Urban Infrastructure: In collaboration with O2, applied predictive analytics to London’s fiber grid—detecting underground pipeline leaks and reducing urban disruption.
Results
800% revenue growth at LYTT driven by AI-led performance improvements.
Enabled clients to shift from reactive fixes to proactive operations—reducing risk and cost.
Pioneered new commercial use cases for existing fiber optic networks.
Strategic Insight for BE Inframinds Clients
Subhayu’s work is a blueprint for how AI can unlock hidden intelligence from everyday infrastructure. At BE Inframinds, he now leads the design of modular, real-world AI agents that turn raw data into predictive power—across energy, transport, and urban ecosystems.
This is how we deliver future-ready operations today.