Environmental Monitoring & Management Software
Introducing
TytonAI is a powerful, web-based platform that brings machine learning within reach of ecologists, enabling accurate, cost-effective vegetation and landscape classification at scale.
Designed for mining, natural resource management, carbon, and biodiversity sectors, TytonAI allows users to detect individual plants, identify weeds, monitor rehabilitation, map erosion, and quantify carbon across entire landscapes.
Purpose-built for ecological applications, TytonAI handles everything from trees and shrubs to grasses, herbs, and erosion features — supporting both one-off classifications and time series analyses. Results can be exported directly to TytonIQ for deeper insights, trend detection, risk analysis, and stakeholder reporting.
Introducing
TytonAI is a powerful, web-based platform that brings machine learning within reach of ecologists, enabling accurate, cost-effective vegetation and landscape classification at scale.
Designed for mining, natural resource management, carbon, and biodiversity sectors, TytonAI allows users to detect individual plants, identify weeds, monitor rehabilitation, map erosion, and quantify carbon across entire landscapes.
Purpose-built for ecological applications, TytonAI handles everything from trees and shrubs to grasses, herbs, and erosion features — supporting both one-off classifications and time series analyses. Results can be exported directly to TytonIQ for deeper insights, trend detection, risk analysis, and stakeholder reporting.
Introducing
TytonAI is a powerful, web-based platform that brings machine learning within reach of ecologists, enabling accurate, cost-effective vegetation and landscape classification at scale.
Designed for mining, natural resource management, carbon, and biodiversity sectors, TytonAI allows users to detect individual plants, identify weeds, monitor rehabilitation, map erosion, and quantify carbon across entire landscapes.
Purpose-built for ecological applications, TytonAI handles everything from trees and shrubs to grasses, herbs, and erosion features — supporting both one-off classifications and time series analyses. Results can be exported directly to TytonIQ for deeper insights, trend detection, risk analysis, and stakeholder reporting.
Introducing
TytonAI is a powerful, web-based platform that brings machine learning within reach of ecologists, enabling accurate, cost-effective vegetation and landscape classification at scale.
Designed for mining, natural resource management, carbon, and biodiversity sectors, TytonAI allows users to detect individual plants, identify weeds, monitor rehabilitation, map erosion, and quantify carbon across entire landscapes.
Purpose-built for ecological applications, TytonAI handles everything from trees and shrubs to grasses, herbs, and erosion features — supporting both one-off classifications and time series analyses. Results can be exported directly to TytonIQ for deeper insights, trend detection, risk analysis, and stakeholder reporting.
TytonIQ combines modular ecological datasets with intuitive AI tools to help environmental managers turn complex data into clear, actionable insights. With the TytonIQ Model Builder and TytonIQ Agent working alongside Rehabilitation, Condition, and Biodiversity modules, users can easily explore data, uncover key drivers, and generate reports—no technical expertise required.
Use plain-language prompts or the Model Builder to uncover what's driving site outcomes
Seamlessly query and interpret data across all ecological themes
Create tailored reports and summaries in seconds
TytonIQ combines modular ecological datasets with intuitive AI tools to help environmental managers turn complex data into clear, actionable insights. With the TytonIQ Model Builder and TytonIQ Agent working alongside Rehabilitation, Condition, and Biodiversity modules, users can easily explore data, uncover key drivers, and generate reports—no technical expertise required.
Use plain-language prompts or the Model Builder to uncover what's driving site outcomes
Seamlessly query and interpret data across all ecological themes
Create tailored reports and summaries in seconds
TytonIQ combines modular ecological datasets with intuitive AI tools to help environmental managers turn complex data into clear, actionable insights. With the TytonIQ Model Builder and TytonIQ Agent working alongside Rehabilitation, Condition, and Biodiversity modules, users can easily explore data, uncover key drivers, and generate reports—no technical expertise required.
Use plain-language prompts or the Model Builder to uncover what's driving site outcomes
Seamlessly query and interpret data across all ecological themes
Create tailored reports and summaries in seconds
TytonIQ combines modular ecological datasets with intuitive AI tools to help environmental managers turn complex data into clear, actionable insights. With the TytonIQ Model Builder and TytonIQ Agent working alongside Rehabilitation, Condition, and Biodiversity modules, users can easily explore data, uncover key drivers, and generate reports—no technical expertise required.
Use plain-language prompts or the Model Builder to uncover what's driving site outcomes
Seamlessly query and interpret data across all ecological themes
Create tailored reports and summaries in seconds
of Rehabilitation Monitoring
of Whole of Site Weed Monitoring
of Vegetation Condition Monitoring
of Baseline Vegetation Assessment
Combines state-of-the-art machine learning technology for environmental monitoring with an integrated, modular, analytics platform for ecological management, helping you make data-driven decisions, identify trends, and quantify risks, for better environmental outcomes.
Welcome to TytonAI, a powerful machine learning tool for identifying individual flora across landscapes. At its core is the Mega Model, trained on billions of pixels to deliver accurate, scalable insights with minimal fine-tuning.
Supported by the ever-expanding Community Signature Library, a global collection of vegetation signatures, TytonAI adapts to diverse ecosystems.
Custom tools designed for large-scale vegetation classification streamline analysis, making machine learning accessible to ecologists worldwide and unlocking fast, reliable species-level insights.
Welcome to TytonAI, a powerful machine learning tool for identifying individual flora across landscapes. At its core is the Mega Model, trained on billions of pixels to deliver accurate, scalable insights with minimal fine-tuning.
Supported by the ever-expanding Community Signature Library, a global collection of vegetation signatures, TytonAI adapts to diverse ecosystems.
Custom tools designed for large-scale vegetation classification streamline analysis, making machine learning accessible to ecologists worldwide and unlocking fast, reliable species-level insights.
Welcome to TytonAI, a powerful machine learning tool for identifying individual flora across landscapes. At its core is the Mega Model, trained on billions of pixels to deliver accurate, scalable insights with minimal fine-tuning.
Supported by the ever-expanding Community Signature Library, a global collection of vegetation signatures, TytonAI adapts to diverse ecosystems.
Custom tools designed for large-scale vegetation classification streamline analysis, making machine learning accessible to ecologists worldwide and unlocking fast, reliable species-level insights.
Welcome to TytonAI, a powerful machine learning tool for identifying individual flora across landscapes. At its core is the Mega Model, trained on billions of pixels to deliver accurate, scalable insights with minimal fine-tuning.
Supported by the ever-expanding Community Signature Library, a global collection of vegetation signatures, TytonAI adapts to diverse ecosystems.
Custom tools designed for large-scale vegetation classification streamline analysis, making machine learning accessible to ecologists worldwide and unlocking fast, reliable species-level insights.