psilogi (SILL-uh-jee) explores the intersections between psychology, behaviour, engineering, and technology. Our goal is to build human-centered systems that prioritize well-being, safety, performance, and social equity.
We set ourselves apart by applying cutting-edge technology to traditional systems thinking, human factors, and business methods. Our approach combines decades of technical expertise with outside-the-box vision for research, analysis, system design, usability, and software development (apps, platforms, tools).
We merge behavioural science with advanced AI/LLM toolings to optimize human capabilities and workflows. Complexity, simplified.
Data-driven pursuit of human capability, safety, performance, and well-being in any context.
Deepen your understanding of people, places, and systems.
Extract meaning from your data and documents.
Embed large language models and custom AI into your operations to automate complex cognitive workflows and scale human expertise.
Custom-built applications and platforms tailored to your unique operational requirements. Low-cost, low friction systems that work for people rather than against them.
Streamline workflows and enhance overall efficiency with targeted digital solutions.
Delivering impactful, data-driven solutions across diverse, high-stakes industries.
Predictive Rail Infrastructure & Signaller Model
A proprietary cognitive workload simulation engine and human-factors digital twin for railway signalling and train control. Extending the static Operational Demand Evaluation Checklist (ODEC) into a time-stepped and probabilistic (Monte Carlo) environment, PRISM refracts complex operational scenarios (infrastructure topology, timetable bunching, unplanned VSTP movements, adverse weather, operator competency, cumulative fatigue, and post-underload capacity shrinkage) into traceable cognitive risk bands to expose hidden overload and monotony hazards before timetables go live. Available for commercial timetable stress-testing, enterprise licensing, and academic research collaborations.
AI Travel Workbench & Telegram Trip Concierge
A unified travel planning workspace and Telegram assistant backed by an isolated per-user SQLite database. Vagrant replaces scattered browser tabs and spreadsheets with a single live workbench for multi-leg overland and flight itineraries, 4-hour flight fare watchtowers, surf swell and 7-day weather forecasts, campground and hostel discovery, and multi-currency trip budgets. Available as a free self-hosted Docker edition or managed cloud passes.
AI Recipe Generation
A mobile-first application that employs multimodal AI and computer vision to instantly transform food images into complete, structured recipes and ingredient lists.
B2B Bid Support, Software as a Service
A B2B SaaS platform that leverages large language models and machine-learning pipelines to automate bid writing and management. The system streamlines the proposal process, enabling teams to produce high-quality, competitive tenders with greater efficiency.
B2B CRM & Relationship Management
A scalable business intelligence and relationship management platform that hooks directly into BIDLOGIQ to maximize the value of historical company data. Features include complex account mapping, task management, role-based access control, and seamless integrations for enterprise workflows.
Data Governance & Strategy
Architected programmatic analytical solutions (Python, shell, LLMs) to extract and classify data from 3,000+ pages of unstructured documents. Designed a robust data governance framework by converting complex inputs into structured datasets across 6 core dimensions. Triangulated these metrics to establish a single source of truth, demonstrating the ability to build automated, systematic solutions that convert research insights into actionable strategic products that can be trusted in high reliability industries.
Queensland University of Technology
A collaborative research study with CARRS-Q investigating driver behavior in automated vehicles. The project focused on the effects of fatigue on driver supervision and performance, specifically during critical transitions from automated to manual control.
Power Industry
An in-depth operational diagnostic for power industry control rooms. The project evaluated key performance drivers including physical layout, communication flows, team cohesion, and the impact of interruptions on safety and efficiency.

Michael Pascale, PhD MA, is the Director and Principal Consultant at psilogi.
Michael is a behavioural scientist, cognitive engineer, and full stack developer. He architects data driven strategies that fundamentally improve how people interact with technology and infrastructure.
Drawing on his deep technical expertise and breadth of career experiences, Michael has a unique skillset that combines curiosity, creativity, and compassion with academic rigor directed towards people and technology. Michael is a solution-focused builder who is tech-obsessed and lives at the bleeding edge; he is deeply committed to improving how people work and live through deliberate, people-focused system design.