Likely Technologies LLC is a company.
Key people at Likely Technologies LLC.
Likely Technologies LLC was founded by Salman Faridi (Co-Founder and Head of Product).
Likely Technologies LLC was founded by Salman Faridi (Co-Founder and Head of Product).
Key people at Likely Technologies LLC.
Predictive Technologies, LLC is a software development company specializing in AI-driven predictive analytics and maintenance solutions.[1] Founded in 2016 and based in Englewood, Colorado, it generates approximately $4 million in annual revenue with around 10 employees, focusing on tools that monitor data, detect anomalies, predict failures, and enable data-driven decisions through technologies like machine learning, deep learning, and facial recognition.[1]
The company serves industries needing proactive problem-solving, such as those requiring predictive maintenance, risk management, process optimization, and business intelligence.[1] Its products address real-world challenges by analyzing data to identify issues before they occur, providing applications for data visualization, statistical modeling, and performance monitoring, which drive efficiency and informed decision-making.[1]
Predictive Technologies, LLC was established in 2016 in Englewood, Colorado, driven by a passion to solve real-world industry problems through advanced technology.[1] Eric Carey, the Chief Executive Officer and Co-Founder, leads the company, though specific details on other founders or early team members are not detailed in available sources.[1]
The idea emerged from a focus on leveraging AI to preempt issues via data analysis, evolving into a suite of specialized applications.[1] Early traction likely stemmed from its niche in predictive modeling and anomaly detection, building a small but targeted operation with 10 employees and steady $4 million revenue by 2025.[1]
Predictive Technologies rides the wave of AI adoption in predictive analytics and maintenance, a trend fueled by growing demand for data-driven foresight in industries facing operational disruptions.[1] Timing aligns with advancements in machine learning and big data, where real-time anomaly detection prevents costly downtime amid rising complexity in IoT and industrial systems.[1]
Market forces like the push for efficiency in software development (NAICS 541511) and data science favor its model, as businesses seek scalable AI to optimize processes without massive investments.[1] It influences the ecosystem by enabling smaller-scale, specialized AI deployment, contributing to broader shifts toward preventive tech in sectors like manufacturing and logistics.
Predictive Technologies is poised for growth in the expanding AI predictive market, potentially scaling its suite amid demand for agentic AI and real-time analytics.[1] Trends like deeper integration of deep learning with edge computing and regulatory pushes for explainable AI will shape its path, offering opportunities to expand beyond its current $4M revenue base.
Its influence may evolve through partnerships or acquisitions, amplifying impact in niche predictive applications while maintaining a lean operation—positioning it as a quiet enabler in the AI solutions landscape, much like its core mission of spotting problems before they arise.[1]
