Experienced team. Established technical foundation.
SibylCor combines experienced technology and finance leadership with a founding team of engineers whose expertise spans industrial analytics, energy infrastructure, maritime systems, manufacturing, and other mission-critical environments.
The founding team
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Arif Khan
Founder & CEO
Arif Khan is the Founder and CEO of SibylCor, bringing more than 30 years of experience in technology leadership, enterprise software architecture, and mission-critical systems across defense, energy, financial services, healthcare, and telecommunications.
Read full bioShow less for Arif Khan
Throughout his career, Arif has built and led high-performance engineering organizations, translating complex technical challenges into scalable, commercially viable solutions. His experience spans artificial intelligence, machine learning, real-time analytics, and distributed computing in environments where reliability and performance are essential.
Prior to SibylCor, Arif led technology for an AI-driven predictive maintenance and diagnostics company supporting U.S. defense and energy infrastructure, processing millions of sensor data points daily. Earlier, he founded and led a technology company that developed and commercialized high-performance distributed systems, including a real-time trading platform adopted as the core trading system of an institutional hedge fund.
At SibylCor, Arif combines his experience as a technology entrepreneur and engineering executive with a focus on advancing industrial condition intelligence, helping organizations understand equipment health, anticipate failures, and make more informed decisions to protect critical infrastructure.
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Adil Khan
CFO & COO
Enterprise-transformation executive: finance, operating model, M&A integration, governance and scaling across complex global organizations.
Critical-asset expertise, already assembled.
A founding technical team that includes three PhDs, with an established history of working together on complex engineering and industrial analytics challenges.
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3
PhDs on the founding technical team
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20+ years
in condition-based maintenance
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30+ years
leading real-time enterprise systems
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PhD
Optimization & Diagnostics
20+ years in condition-based maintenance. Bayesian failure-mode inference, diagnostics and prognostics, and maintenance scheduling and optimization for ships, power plants and rotating machinery.
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PhD
Rotating Equipment
Physics-based and data-driven modeling for gas turbines, diesel engines, pumps and generators; led end-to-end condition-based maintenance deployments for industrial customers.
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PhD
Plant Physics & Performance
Pioneered hybrid first-principles and data-analytic condition assessment. Founded an engineering-software company that was later acquired.
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Systems & Data Integration
Digital twins, FMECA automation, cloud and DevSecOps, systems integration, and end-to-end verification and validation for defense and enterprise deployments.
Expertise across every layer of the platform.
Our team works across domains, not in silos. Together, the founding team brings direct experience in every capability the platform requires—and an established history of delivering them together.
- Engineering-informed models
- Multi-method analytics & machine learning
- Diagnostic reasoning & failure-mode inference
- Agentic architecture & large language models
- Signal analysis: electrical, vibration, process & performance
- Prognostics & remaining useful life
- Maintenance scheduling & optimization
- Rotating equipment physics & performance
- Real-time distributed platform architecture
- Integration, digital twins & verification
- Total Cost of Risk & commercial model
- Finance, governance & scaling
Engineering-driven. Built for reliability.
SibylCor combines electrical engineering, rotating machinery physics and applied AI to translate operating data into actionable equipment diagnostics and prognostics.
Engineering first
Every capability begins with a failure mode, not a feature request. Physics before algorithms. Cause before correlation.
Depth over breadth
Focused expertise in motor-driven equipment and rotating machinery, backed by physics-based diagnostics rather than generic anomaly detection.
Verifiable outcomes
Every diagnostic conclusion is designed to trace back to a physics-based model and the evidence behind it. We show our work, because our customers’ operations depend on it.
Adaptive by design
Built to learn. As your operations evolve, your asset models evolve.
The full team profile is available on request.
While SibylCor is in development, our technical specialists are not named publicly. Qualified investors can request detailed team biographies.
Better decisions start with understanding the condition earlier.
If you are responsible for the reliability, performance, or lifecycle of critical rotating equipment, we would like to hear about the problems you are working to solve.
Or email info@SibylCor.com
Start with one critical asset class
One critical asset class, one narrow engagement—starting where the consequence of failure is already understood, with a low-risk path to validate SibylCor.