What is Sentient Science?
Established in 2001 and headquartered in Buffalo, New York, Sentient Science specializes in advanced computational modeling and software solutions. The company provides a sophisticated platform that predicts the failure rates of complex mechanical systems, enabling organizations to identify life extension actions that significantly reduce maintenance costs. By integrating material science with artificial intelligence, Sentient Science offers a unique value proposition: the ability to forecast the health of critical infrastructure before failures occur. This predictive capability is essential for industries where asset reliability is paramount, positioning the company as a leader in the industrial internet of things (IIoT) and predictive maintenance landscape.
How much funding has Sentient Science raised?
Sentient Science has raised a total of $42.2M across 6 funding rounds:
Unspecified
$499K
Unspecified
$982K
Series A
$17M
Unspecified
$199K
Series B
$22.5M
Debt
$1M
Unspecified (2011): $499K with participation from NYSERDA
Unspecified (2013): $982K led by NYSERDA
Series A (2016): $17M supported by Toba Capital
Unspecified (2016): $199K featuring NYSERDA
Series B (2017): $22.5M backed by Georgian
Debt (2020): $1M with participation from PPP
Key Investors in Sentient Science
NYSERDA
The City of New York is a municipal government that provides services to the five boroughs including education, emergency services, sanitation, and transportation.
Georgian
Georgian is a growth-stage investment firm that partners with B2B software and AI companies, providing capital, strategic guidance, and technical expertise to help businesses scale.
Toba Capital
Toba Capital is an early-stage investment firm focused on creating innovative technology companies, with core themes including SaaS, IT Infrastructure, and Climate & Energy.
What's next for Sentient Science?
With the support of its latest capital round, Sentient Science is well-positioned to accelerate its enterprise-level expansion. The strategic focus will likely center on deepening its penetration into global energy markets and expanding its software suite to accommodate more complex mechanical architectures. As the industry shifts toward autonomous maintenance and data-driven asset management, the company's ability to provide actionable insights will be a key differentiator. Future growth will likely involve scaling its sales and engineering teams to meet the increasing demand for predictive analytics, while simultaneously enhancing its core algorithms to improve accuracy across diverse operating environments. The company remains a pivotal entity in the transition toward more efficient, sustainable industrial operations.
See full Sentient Science company page
