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 TytonEIS for deeper insights, trend detection, risk analysis, and stakeholder reporting.
Tyton Ecological Intelligence is an AI-powered assistant that transforms how you interact with environmental data. Integrated across Tyton’s ecological modules, it delivers fast, data-driven insights to support smarter, more efficient decision-making.
Ask complex questions, run advanced analyses, and generate reports—instantly. From tracking rehab to assessing vegetation or biodiversity, it uncovers trends, quantifies outcomes, and flags risks so your team can focus on action.
Pre-trained for broad ecological use, reducing setup time.
Strong performance across varied environments.
Less need for custom models or repeated labeling.
Efficient across site, regional, and asset-level applications
Your go-to resource for accelerating machine learning classifications. Built by users, for users, it’s a collaborative space where high-quality training data is shared, reused, and rewarded — making classification faster, smarter, and more consistent across projects.
Contributors earn credits for sharing their training data, while others benefit from a growing library of real-world examples that save time and improve accuracy.
Key features:
Select a tool to learn more.
This is some text to tell users about the plans. All pricing is in USD.
A credit represents the processing capacity used for each image, determined by both the quantity of images and their resolution.
10 credits = 1,000,000 pixels (equivalent to a 1000×1000 pixel image)
Credits can be purchased from within the TytonAI app.
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TytonAI results can be seamlessly exported into TytonIQ, enabling users to integrate AI-driven insights—such as habitat classifications, species detections, and change analyses—directly into their environmental intelligence workflows. With minimal effort, teams can transition from data processing to decision-making without losing accuracy or context.
Once in TytonIQ, users can visualize AI outputs alongside historical data and stakeholder inputs to identify trends, flag emerging risks, and inform proactive management. This streamlined integration supports faster, smarter decisions across the entire project lifecycle.
Working hand in hand with organisations, we specialise in a future-forward approach to drive the most optimal outcomes for your environmental projects.
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Tyton Ecological Intelligence enables organisations to deliver true innovation for how they monitor and care for the environment.
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