Near-Miss Management is a predictive risk analytics company, providing software solutions to improve process safety and reliability for continuous operations, such as refining, petrochemical, power, and manufacturing. Our products signal budding problems by identifying early indicators of process near-misses, hidden inside the large volumes of data recorded in plants, and hence empower your operating team to avoid unexpected process failures and incidents.

Described as 'disruptive innovation in risk management and big data analytics' by our customers, our patented methods – behind Dynamic Risk AnalyzerTM, Real-Time Leading Signal GeneratorTM, and Alarm FitnessTM – have been developed through years of research in solving recurring challenges faced by industrial facilities.


Dynamic Risk AnalyzerTM

Rediscovering Process Risk Management

Read More

Real-Time Leading Signal GeneratorTM

Forewarning of Potential Catastrophe

Read More

Alarm FitnessTM

Uncovering Hidden Insight in Data

Read More

Process Risk Assessment Uses Big Data
Control Engineering Magazine (Technology Update Article)
ANKUR PARIYANI, ULKU OKTEM, and DEBORAH GRUBBE
JUNE ISSUE, 2013


Improve Process Safety with Near-Miss Analysis
CEP Magazine (On The Horizon Article)
WARREN SEIDER, ULKU OKTEM, MASOUD SOROUSH, and ANKUR PARIYANI
AICHE PUBLICATION, MAY ISSUE, 2013


Big Data Use in PSM
Invited Panel Presentation at Big Data Analytics Topical Conference, AIChE Spring Meeting, 2015

WEDNESDAY, APRIL 29, 2015

Predictive PSM and OE Insights: Dynamic Risk Analysis for Safer Operations
Poster at AIChE Spring Meeting, 2014

MONDAY, MARCH 31, 2014

Dynamic Risk Prediction for Safer and More Reliable Processes
Presentation at AFPM Annual Meeting, 2014

TUESDAY, MARCH 25, 2014

Dynamic Risk Analysis and Leading Indicators for Safer and More Reliable Operations
Presentation at AIChE Spring Meeting, 2013

MONDAY, APRIL 29, 2013