Process analysis and improvement
We study technical, engineering and decision processes to identify critical variables, bottlenecks, wasted time, rework and opportunities for improvement.
TAEI turns scientific knowledge and advanced engineering into mathematical models, algorithms, software and decision tools designed around real organisational challenges.
TAEI works with companies and institutions that have a process, decision or technical challenge that can be improved through analysis, modelling, software or artificial intelligence. The engagement starts by understanding the real problem and, where appropriate, ends with a methodology, model, computational tool or application ready to support the organisation’s work.
TAEI integrates analysis, methodology, mathematical modelling and computational development to deliver solutions that can become part of the organisation’s operating workflow.
We study technical, engineering and decision processes to identify critical variables, bottlenecks, wasted time, rework and opportunities for improvement.
We design scientific methodologies, mathematical models, predictive models and proprietary procedures for specific organisational problems.
We turn models and methodologies into calculators, dashboards, web tools, assessment systems or platforms that support technical work and decision-making.
We develop artificial intelligence and explainable AI solutions when they can accelerate analysis, classification, estimation, search, interpretation or result generation within a process.
THEK Research Institute develops research in earthquake and structural engineering, scientific software, new mathematical frameworks, AI, automation and monitoring. TAEI is an enterprise route for putting that capability to work for organisations.
Executive and technical assessment of the challenge, available data, relevant variables and potential value before development.
Development of mathematical or predictive models and their conversion into advanced calculators, dashboards, private applications or web platforms.
Integration of exposure, vulnerability, loss scenarios, resilience and digital representations of assets for analysis, monitoring and anticipation.
Scientific and digital tools designed around the organisation’s specific technical problem, process or decision.
Cost, duration, productivity, optimisation, asset criticality, continuity and resilience.
Exposure, vulnerability, catastrophe modelling and loss scenarios.
Maintenance, reliability, optimisation, monitoring and asset decisions.
New models, algorithms, prototypes and AI where it provides verifiable technical value.
Projects can be linked to management-level metrics: cost, professional hours released, rework avoided, potential losses avoided, added capacity, ROI and payback.
Describe the challenge. We will assess whether it can become a mathematical model, scientific tool or decision system.
research@hithek.comWhatsApp: +1 (448) 442-6585