01
Chemical
Regulation is moving toward explainable systems
Mandates in force and phasing in now impose transparency, auditability, human oversight, and demonstrated accuracy. These are requirements probabilistic systems struggle to meet by design.
EU AI Act
Escalating obligations on high-risk systems: transparency, auditability, human oversight, and demonstrated accuracy, with the heaviest requirements phasing in through 2027.
EU Data Act
In force since September 2025. Requires providers to block unlawful third-country access to European data.
FAA AI Safety Assurance Roadmap
Flags the assurance challenge that non-explainable AI poses in aviation.
OMB M-25-21
Directs federal agencies toward AI strategies emphasising data traceability and trust. DoD procurement is moving the same way.
The 16 critical infrastructure sectors
The US Cybersecurity & Infrastructure Security Agency has identified 16 critical infrastructure sectors whose assets, systems, and networks, whether physical or virtual, are considered so vital to the United States that their incapacitation or destruction would have a debilitating effect on the physical security, economic security, national public health or safety, or any combination thereof.
02
Commercial Facilities
03
Communications
04
Critical Manufacturing
05
Dams
06
Defense Industrial Base
07
Emergency Services
08
Energy
09
Financial Services
10
Food and Agriculture
11
Government Facilities
12
Healthcare and Public Health
13
Information Technology
14
Nuclear Reactors, Materials, and Waste
15
Transportation Systems
16
Water and Wastewater Systems
01 / 16
Source: CISA.
Four domains where a wrong answer is unaffordable
Each of these environments runs on continuous interpretation of instrument data, under time pressure, with no margin for a guess. That is the problem the architecture was built to solve.
Mission operations floor
Wide shot of a mission ops floor, banks of telemetry screens, operators at consoles.
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Space operations
A sapiens monitors thousands of telemetry values simultaneously, identifies anomalies in real-time, and sequences commands with zero margin for error. New Sapience founder Bryant Cruse pioneered AI applications for spacecraft operations. He developed the first-ever expert system to analyze spacecraft telemetry for the Hubble Space Telescope. That same capability: continuous, reliable oversight of complex spacecraft state, is what New Sapience delivers today. No one overwhelmed by data. No tired or inattentive operator. No missed signal. No ambiguous reading.
Founder Bryant Cruse built the first expert system to analyze spacecraft telemetry, for the Hubble Space Telescope.
Network operations centre
Dark NOC with wall displays, network topology, an analyst at a multi-monitor station.
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Cybersecurity
A sapiens monitors system state continuously against a world model of what normal looks like. Every deviation is identified exactly. Not scored, not estimated, not left for a human to misinterpret. Either the system is behaving correctly, or it is not. That precision is what makes a sapiens effective where a best-guess threat detection may be a recipe for failure. No guessing. No false confidence. A clear answer, every time.
Best-guess threat scoring produces false confidence. A clear answer, every time, is the difference.
Reactor control room
Nuclear plant control room, instrument panels, operators in plant uniform.
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Nuclear power
A sapiens reads every instrument continuously, separates real anomalies from sensor noise, and tells operators exactly what is wrong and why. An unambiguous signal is delivered at the moment it matters most, not a flood of data for an operator to interpret under pressure. The Three-Mile Island accident was caused by human error over a misread instrument. A sapiens eliminates such a catastrophic scenario.
In 1979, misdiagnosed instrument readings overwhelmed operators at exactly the moment clear thinking mattered most. Cleanup ran over $1 billion. That class of ambiguity is what a sapiens removes.
Grid dispatch centre
Utility dispatch centre, large-format grid map, transmission infrastructure.
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Power grid management
A sapiens watches the full grid simultaneously, every node, every load, every developing fault. It catches cascade risk before it propagates and coordinates response across distributed assets in real-time. The 2003 Northeast blackout began as a small local fault that went undetected until after 8 states and much of eastern Canada lost power. A sapiens would detect the fault before an entire region goes dark.
The 2003 Northeast blackout caused an estimated $6 billion in economic damage when monitoring failures let a local fault cascade into regional collapse.
Vital to the functioning of a civilized society
Mission-critical systems are vital to the functioning of a civilized society and for the public good, such as national security, finance, and energy production & distribution. Disruptions in any of these could lead to catastrophic financial, public safety or human losses.
Read the definitions →
Infrastructure photography
Transmission lines, refinery, or plant exterior at scale.
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Not seeing your sector?
The architecture is domain-agnostic. If a wrong answer in your environment costs a mission, an asset, or a life, we should talk.