PhishByte is an Australian-focused phishing simulation and cyber awareness training platform designed to help organisations reduce human risk through real-world scenarios and measurable behavioural change. While firewalls and software protect systems, attackers increasingly target people. PhishByte helps organisations strengthen their human layer of defence — equipping employees to recognise, question and stop phishing and social engineering attacks before damage is done. Our platform delivers realistic phishing simulations, adaptive micro-training, and behaviour-driven reporting that fits seamlessly into everyday workflows. Rather than one-off compliance exercises, PhishByte builds safer, instinctive behaviours through continuous reinforcement. Organisations use PhishByte to: • Reduce successful phishing incidents • Improve reporting behaviour and awareness • Identify training gaps and human risk trends • Strengthen security culture without adding complexity Not sure where your organisation stands? Take our free 2-minute Human Phishing Risk Assessment and get an instant personalised risk score — no sign-up required. phishbyte.com.au/phishing-risk-assessment Built in Australia for Australian organisations, PhishByte is trusted across local government, education, healthcare, construction, retail, hospitality and corporate environments. We focus on simple, practical training that drives measurable behavioural change — without jargon, enterprise bloat, or unnecessary complexity. Cyber security isn’t just a technical challenge. It’s a human one. PhishByte helps turn employees from potential risk into resilient human firewalls — protecting organisations year-round.
Geopipe specializes in creating detailed, interactive 3D models of real-world environments, known as digital twins. Utilizing advanced AI and machine learning techniques, Geopipe processes raw sensor data—such as photographs and laser scans—to automatically generate rich, multi-level 3D representations of cities and landscapes. These models are designed for seamless integration into various applications, including gaming, simulations, virtual reality, and architectural visualization.
Key Features and Functionality:
- Automated 3D Model Generation: Geopipe's proprietary AI pipeline identifies and reconstructs every object in a city, producing detailed digital twins without manual modeling efforts.
- Multi-Level Detail: The platform offers models at various levels of detail, catering to different project requirements—from broad overviews to intricate, high-resolution environments.
- Compatibility with Major Platforms: Geopipe's models are compatible with industry-standard formats and can be integrated into popular engines like Unity3D and Unreal Engine, facilitating ease of use for developers.
- Instant Access and Streaming: Pre-processed regions allow users to download models instantly, and the ability to stream thousands of square miles of the world without the need for proprietary infrastructure.
Primary Value and User Solutions:
Geopipe addresses the challenge of creating realistic virtual environments by eliminating the time-consuming and costly process of manual 3D modeling. By providing ready-to-use, accurate digital twins, Geopipe empowers game developers, architects, and simulation creators to immerse their users in authentic real-world settings quickly and efficiently. This capability accelerates project timelines, reduces development costs, and enhances the realism and engagement of virtual experiences.
InterviewMe is an AI-powered platform designed to revolutionize the job interview process by providing candidates with realistic, interactive interview simulations. By leveraging advanced artificial intelligence, InterviewMe offers users the opportunity to practice and refine their interview skills in a risk-free environment, enhancing their confidence and performance in actual job interviews.
Key Features and Functionality:
- Realistic Interview Simulations: Engage in lifelike interview scenarios tailored to various industries and job roles, allowing users to experience diverse questioning styles and formats.
- Instant Feedback and Analysis: Receive immediate, detailed feedback on responses, including insights into strengths and areas for improvement, facilitating continuous learning and development.
- Customizable Practice Sessions: Tailor interview sessions to specific job descriptions, skill sets, and experience levels, ensuring relevance and effectiveness in preparation.
- Progress Tracking: Monitor improvement over time with comprehensive analytics and performance metrics, helping users identify trends and focus areas.
- Resource Library: Access a wealth of materials, including common interview questions, best practices, and tips to further enhance interview readiness.
Primary Value and User Solutions:
InterviewMe addresses the common challenges faced by job seekers, such as interview anxiety, lack of preparation, and unfamiliarity with interview formats. By providing a safe and supportive environment to practice, it empowers users to build confidence, improve their communication skills, and increase their chances of securing desired positions. The platform's personalized approach ensures that preparation is aligned with individual career goals, making it an invaluable tool for anyone looking to excel in their job search.
Stockly: AI Inventory Replenishment for Discrete Manufacturers
Stockly is an AI-driven inventory replenishment solution designed specifically for discrete manufacturers, built by Analytos.
The Challenge
Kanban card sizes, reorder points, and safety stock levels are typically set once and forgotten—even while demand, supplier lead times, and engineering changes continuously shift. As settings drift out of alignment with reality, manufacturers face two costly outcomes: cash tied up in unneeded parts and unexpected shortages of critical components.
How Stockly Works
Stockly continuously keeps inventory settings aligned with real-world conditions in four steps:
Learn: Reads historical usage data and tracks actual supplier delivery performance—not just the lead times listed on file.
Simulate: Runs thousands of future supply and demand scenarios per SKU to measure how frequently a given stock level would result in a shortage.
Optimise: Recommends the optimal inventory level per SKU to cover realistic risks without locking up unnecessary working capital.
Explain: Delivers every recommendation alongside a plain-English rationale and financial impact estimate, allowing planners to review, challenge, and confidently act on suggestions rather than overriding them.
Key Capabilities
AI Control Tower: Centralized monitoring and high-level inventory visibility.
Per-SKU Insights: Granular analysis and optimization metrics for every item in your catalog.
Supplier Performance Tracking: Real-world data tracking lead-time variability and supplier reliability.
Scenario Builder: Test custom supply chain variables and model outcomes proactively.
Conversational Digital Twin: Interactive simulation tool allowing teams to query hypothetical risks—such as "What happens if our main supplier is out for three weeks?"—and compare outcomes side by side.
Universal Compatibility
Stockly adapts to your existing workflows—whether you plan using Kanban, MRP, reorder points, or spreadsheets.
Veris AI is an end-to-end platform designed to train AI agents in performing enterprise tasks through high-fidelity simulation environments. By mirroring an organization's existing tools and user interactions, Veris AI enables agents to learn by doing, ensuring they are well-prepared for real-world applications.
Nextmol is a cloud-based computational chemistry platform designed to accelerate the development of new materials and chemicals. By leveraging advanced molecular modeling and simulation techniques, Nextmol enables researchers and scientists to predict the properties and behavior of molecules, facilitating the design of innovative products across various industries.
W2MO is a supply chain, location & warehouse planning and optimization software that helps you visualize detailed locations. W2MO is also the professional tool for logistics design, 3D simulation and optimization of any type of logistics.
HackThePlace is an authentic enterprise Capture The Flag (CTF) tournament arena and cyber warfare simulation platform engineered by Haroon Atieeq. The platform delivers containerized OWASP Top 10 exploitation sandboxes, database-level atomic attempt quotas that prevent flag fuzzing, real-time WebSocket scoring telemetry, and free VAPT security utilities (CVSS v4.0 Calculator & OWASP WSTG Checklist). Engineered for ethical hackers, universities, and enterprise security operations centers (SOC) for measurable cyber-defense training. Note: HackThePlace is an independent platform, distinct from Hack The Box.
Fortiv is an AI-powered Business Continuity and Operational Resilience platform that helps organizations automate and modernize the entire business continuity lifecycle; from business impact analysis (BIA) and dependency mapping to continuity planning, testing, incident response, and audit reporting.
Designed for mid-market and enterprise organizations operating in complex, highly regulated environments, Fortiv replaces fragmented spreadsheets and manual processes with a centralized, intelligent platform that delivers real-time visibility, guided execution, and continuous resilience readiness.
Fortiv’s AI voice agents guide frontline employees through BIA data collection using natural conversation, helping organizations gather structured, consistent, and reliable resilience data at scale. The platform automatically maps dependencies across people, systems, vendors, locations, and business processes, helping teams identify single points of failure and understand how disruptions cascade across operations.
Using this data foundation, Fortiv automatically generates and maintains business continuity plans, creates AI-powered tabletop exercises and simulations, and enables coordinated incident response with integrated communications and real-time status tracking.
With Fortiv, BCM and resilience teams move from reactive administration to proactive risk management, reducing manual workload, improving audit readiness, strengthening organizational preparedness, and enabling faster, more confident decision-making.
Key Capabilities:
- AI-guided Business Impact Analysis (BIA) data collection
- Real-time dependency mapping and visualization
- Automated business continuity plan generation
- AI-generated tabletop exercises and simulations
- Incident management and coordinated response notifications
- Continuous audit-ready reporting and compliance support
- Human-in-the-loop AI validation and governance
- Enterprise integrations across HR, CMDB, and operational systems
Digital Blue Foam (DBF is a Singapore-based Software-as-a-Service (SaaS platform revolutionizing the building design industry by integrating artificial intelligence (AI, geospatial data, and generative design into a unified, web-based tool. Designed for architects, planners, developers, and educators, DBF streamlines the design process, enhancing efficiency and promoting sustainable building practices.
Key Features and Functionality:
- AI-Powered Design Tools: DBF offers real-time simulations, including Daylight Autonomy Score, Solar Radiation Simulation, Instant Shadow Study, Wind Score, and Sun Path Animation, enabling designers to validate and optimize designs instantly.
- Geospatial Data Integration: The platform incorporates comprehensive geospatial data, such as environmental services and 3D datasets, providing designers with critical contextual information for informed decision-making.
- Neighborhood Scoring System: DBF's proprietary system automates spatial metrics based on geo-location, supporting the "15-minute city" planning strategy by ensuring essential amenities are within a 15-minute walk for residents.
- Seamless BIM Compatibility: The platform synchronizes with various Building Information Modeling (BIM software, including Archicad, Revit, Rhino3D, and SketchUp, facilitating smooth integration into existing workflows.
Primary Value and User Solutions:
DBF addresses the inefficiencies of traditional building design methods by offering a comprehensive, AI-driven platform that accelerates project timelines and enhances design quality. By integrating sustainability validation tools and geospatial data, DBF empowers users to create environmentally responsible and economically feasible buildings that comply with urban regulations. This holistic approach not only improves design efficiency but also contributes to the development of greener, more sustainable cities.
tNavigator is truly unique. It is the first fully-parallel, memory-based subsurface technology to take the technical expert from static model building to dynamic reservoir simulation and into probabilistic forecasting & uncertainty quantification inside one seamless, fully integrated and intelligent software package.
SalesPack AI is an AI-powered sales coaching platform that helps teams close more deals. Sales reps practice realistic customer conversations with AI avatars - anytime, without a trainer, with instant feedback.
AI analyzes every call for objection patterns, talk ratios and key moments. Reactions and scenarios are fully configurable by industry, persona and product: from cold outreach to objection handling thus turning every simulation into targeted coaching.
Alchemist is a global leadership development company specializing in immersive, experiential, and interactive learning. Known for its client-centric approach and innovative design, Alchemist creates learning experiences that are impactful, memorable, and built to drive business outcomes through high-stakes, real-world challenges, live actors, AI-driven simulations, and immediate coaching.
MiroFish is an AI-powered prediction and simulation platform designed to help businesses, researchers, and professional teams explore complex scenarios and potential future outcomes. The platform focuses on AI-driven scenario exploration, helping users examine interactions, compare possible developments, and gain insights to support research, strategic analysis, and decision-making.
Edusmart Chile is an educational technology company dedicated to enhancing science education for K-12 students. Their platform offers a comprehensive suite of resources aligned with state standards, including instructional videos, lab simulations, interactive activities, and assessments. By integrating real-world examples into the curriculum, Edusmart Chile makes science concepts more relatable and engaging for students.
Key Features and Functionality:
- Comprehensive Science Resources: Provides a wide range of instructional materials, such as bite-sized videos, lab simulations, and interactive exercises, all tailored to meet educational standards.
- Accessibility for All Learners: Offers resources suitable for students at various learning levels, enabling differentiated instruction from intervention to acceleration.
- Teacher Empowerment: Equips educators with extensive resources and a user-friendly platform to plan lessons, assign tasks, and assess student progress effectively.
- Spanish Language Support: Delivers dedicated lesson components in Spanish, facilitating science literacy among Spanish-speaking learners.
- Ease of Use: Designed for quick adoption, allowing teachers to integrate the platform into their teaching with minimal training.
- Performance Monitoring: Includes tools to track student performance through various assessments, helping educators identify learning gaps and provide timely interventions.
Primary Value and Solutions Provided:
Edusmart Chile addresses the challenge of engaging students in science education by offering interactive and accessible learning materials that cater to diverse learning needs. The platform empowers teachers with the tools necessary to deliver effective science instruction, ultimately aiming to improve student performance in science subjects. By providing resources in Spanish, Edusmart Chile also supports bilingual education, ensuring that language barriers do not impede learning.
Menten AI is at the forefront of integrating generative artificial intelligence with physics-based modeling and quantum simulations to revolutionize peptide drug design. Their proprietary platform, MAUD 1.0, enables the de novo creation of peptide macrocycles, targeting complex drug targets, including challenging protein-protein interfaces. This innovative approach addresses the limitations of traditional drug discovery methods, facilitating the development of therapeutics with enhanced properties such as nanomolar potency, oral bioavailability, and cell permeability.
Key Features and Functionality:
- Generative AI Integration: MAUD 1.0 combines generative AI with physics-based models and quantum simulations to design and optimize drug-like peptides, accelerating discovery and expanding the accessible chemical space.
- De Novo Peptide Design: The platform designs peptide macrocycles from scratch, enabling the creation of novel therapeutics for complex drug targets.
- Multi-Parameter Optimization: MAUD 1.0 optimizes multiple drug-like properties simultaneously, including potency, permeability, and stability, creating a shortcut to the right chemical space and enabling faster, more effective therapeutic discovery.
- Validated Performance: The platform has demonstrated nanomolar-level potency, oral bioavailability, cell permeability, and a hit rate exceeding 90% across the preclinical discovery pipeline.
Primary Value and User Solutions:
Menten AI's MAUD 1.0 platform addresses the challenges of traditional drug discovery by enabling the rapid and efficient design of peptide therapeutics for targets previously considered undruggable. By integrating advanced computational methods, the platform reduces the reliance on large training datasets and accelerates the development of effective drugs with desirable properties. This approach not only streamlines the drug discovery process but also expands the potential for developing treatments for a broader range of diseases, ultimately contributing to the advancement of medicine and patient care.
Today is an innovative social simulation game crafted by an award-winning team, including former leads from Nintendo, SEGA, Epic Games, and Unity. Set in a dreamy universe, players design personalized virtual worlds called Islands and nurture AI-driven Residents who become their companions.
Applied Intuition's ADAS and AD Development Platform is a comprehensive toolchain designed to streamline the development, testing, and validation of advanced driver-assistance systems (ADAS) and automated driving (AD) systems. By integrating simulation, data exploration, and validation processes, the platform enables engineering teams to efficiently and safely advance their ADAS and AD projects.
Replica is an enterprise data platform that provides public agencies and private companies with critical insights into the built environment. By integrating diverse data sources—including public datasets like the U.S. Census, land use regulations, and private data such as aggregate mobile location and credit transaction data—Replica delivers a comprehensive representation of urban dynamics. This enables organizations to make informed decisions regarding transportation planning, infrastructure development, and policy-making, ultimately fostering more sustainable and equitable communities.
Key Features and Functionality:
- Comprehensive Data Integration: Combines publicly available data with private sources to offer a holistic view of urban environments.
- High-Fidelity Mobility Simulation: Provides detailed simulations of travel behavior, capturing movements across streets, transit routes, neighborhoods, and census tracts at various times of the day.
- Regular Data Updates: Generates new datasets quarterly, allowing users to analyze changes over time and assess responses to new infrastructure and policies.
- Precision and Accuracy: Calibrates models against ground-truth data from public agencies to ensure reliable and precise insights.
- User-Friendly Platform: Offers an intuitive interface for facility managers to monitor environmental parameters and optimize building operations.
Primary Value and Problem Solved:
Replica addresses the challenge of making critical decisions with outdated or incomplete data by providing timely, accurate, and detailed insights into urban environments. This empowers public agencies and private companies to plan and invest with confidence, leading to more efficient transportation systems, optimized land use, and improved quality of life for communities. By offering a privacy-centric approach and customizable solutions, Replica ensures that organizations can meet their specific needs while adhering to data privacy standards.
Rhesis AI is an open-source, collaborative platform designed to streamline the testing of Generative AI (Gen AI) applications. It enables teams—including developers, legal experts, marketers, and domain specialists—to collaboratively create, execute, and analyze comprehensive test scenarios, ensuring that Gen AI systems function reliably and align with real-world requirements.
Key Features and Functionality:
- Automated Test Generation: Rhesis AI automatically generates extensive test scenarios at scale, facilitating thorough validation of Gen AI applications.
- Domain-Specific Knowledge Sets: The platform incorporates domain-specific testing intelligence, allowing for tailored evaluations that reflect industry-specific needs.
- Real-World Simulation Engine: Rhesis AI's simulation engine executes tests in environments that mimic real-world conditions, providing accurate assessments of system performance.
- Comprehensive Metrics: The platform offers clear insights and actionable results through detailed metrics, aiding in the identification and resolution of issues.
- Seamless Integrations: Rhesis AI integrates smoothly with existing development stacks, enhancing workflow efficiency without disrupting established processes.
- Collaborative Tools: The platform includes features for team coordination, such as reviews, tasks, and comments, promoting effective collaboration among stakeholders.
Primary Value and Problem Solved:
Rhesis AI addresses the challenges associated with testing Gen AI applications, which often involve non-deterministic responses and complex edge cases. By providing a collaborative environment where technical and non-technical team members can contribute their expertise, Rhesis AI ensures that Gen AI systems are thoroughly validated before deployment. This approach reduces the risk of unreliable behavior, harmful outputs, and misalignment with business objectives, ultimately leading to more robust and trustworthy AI applications.