OBSERVE
Curiosity Based Observation
Crux can use human interaction, video wearables and other data feeds to observe a scenario and actively gather more information to perform a differential diagnosis. .
UNDERSTAND
Real-Time Understanding
Crux uses knowledge of the decision and action types to interpret and understand observations. It autonomously fuses disparate data sources create information from data.
Lattice uses technologies like sensor fusion, computer vision, edge computing, and machine learning and artificial intelligence to perform human interviews, remotely calculate human vital signs, fatigue or identify and grade observations..
DECIDE
Knowledge Based Decision Making
Crux is a multi agent decision engine to reason, make trade-offs and make decisions. The platform enables subject matter expert and automated assessment of accuracy under various use cases to inform performance, garner trust by the team.
Crux uses customised knowledge based that enable organisational knowledge to be searched semantically or topologically. Explainability throughout the process is a key part of human-machine interfacing enabling access to advice anywhere in the process.
ACT
Integrated Business Rules
Crux enables rapid action based on complex knowledge and organisational processes. Explainability and chose options along with confidence, cost, risk and probability allows informed decision making when everything is complex and a trade off.
CRUX - Decision Support
AI enabled decision support to make Bayesian reasoning that is explainable and uses specific expert knowledge. Decisions can be probabilistic diagnosis or deterministic grading for pass fail. Natural language allows users to interact with the system easily and trust the outputs with simple explanations and reports that are similar to existing systems.
Crux: Your Central AI Decision Support Tool
Unlock the full potential of your decision-making process with CRUX, the ultimate AI-driven decision support tool. Designed to seamlessly integrate with your existing systems, CRUX serves as the pivotal hub where data, insights, and human expertise converge.
Technology Example: Astronaut Selection
Medical workflow with AI enabled interview and analysis
Ambient in partnership with Axiom Space is developing a system to interview
Astronaut candidates to enable their medical team to review more people.
The system follows the traditional paper process enabled as an AI powered website to automate the medical and business review process when selecting an astronaut and understanding the individual risks and cost to fly, culminating in a NASA Aeromedical Board review and approval.
Interview questions are unique to the candidate to inform the medical findings enabled by the Ambient CRUX cognitive platform. Once the interview is complete CRUX outputs in a medical report the findings, NASA standards that need waivers, follow up actions, risk assessment and expected costs to mitigate any risks.
The product is open to other uses such as commercial and military pilot screening and selection and any application that requires many people to be individually interviewed based on need and business decisions to be made at scale.
COGNI - Human Performance App
COGNI is an iPhone app designed to meet the need of researches and personnel in remote environments that to measure objective data on human performance.
COGNI is an innovative iPhone app designed to evaluate Cognitive fatigue and performance in wilderness settings. Developed with outdoor enthusiasts, athletes, and professionals in mind, COGNI provides comprehensive tools and assessments to monitor and enhance Cognitive function in challenging environments.
Technology Example - Deep learning and Accelerometry
Human fatigue with accelerometer and deep learning
Human fatigue with accelerometer and deep learning
Human fatigue with accelerometer and deep learning
Acceleration waveforms for different terrain (concrete vs grass) for fatigue from fresh to exhausted.
IT Project Management
Human fatigue with accelerometer and deep learning
Human fatigue with accelerometer and deep learning
The project calibrated a trail running track against satellite imagery and performed a 24 hour fatigue protocol to gather lab data and sensor data for acceleration, ECG and GPS. The pipeline shown above fused the data, trained two CNN deep learning models provided outputs for terrain the and fatigue level.
COGNI gathered all self assessment results and cognitive tests, allowing reliable and quick turn around of gold standard clinical grade assessments.
MATB was used to provide an exact 10 minute cognitive load every hour as part of the physical and cognitive loads in the experiment.
MATB - Multi Attribute Test Battery
COGNI is an iPhone app designed to meet the need of researches and personnel in remote environments that to measure objective data on human performance.
COGNI is an innovative iPhone app designed to evaluate Cognitive fatigue and performance in wilderness settings. Developed with outdoor enthusiasts, athletes, and professionals in mind, COGNI provides comprehensive tools and assessments to monitor and enhance Cognitive function in challenging environments.