How it works

VirtualRanger is Taleks solution to slow and inefficient response times. Using the power of AI and popular communication channels such as WhatsApp, SMS, and Telegram VirtualRanger can be customised to suit the needs and ask the questions which are relevant to you.

VirtualRanger records all relevant data which users provide to allow responses to then be analysed and compared against one another using OpenAI's LLM to spot anomalies and patterns allowing data driven changes to be made.

From Reported to Received in seconds

By removing humans from the process and using artificial intelligence within popular communications channel such as WhatsApp and Telegram, we can take conversations with users and turn them into detailed reports in seconds allowing ranger teams to respond to incidents in a more effective and efficient manor.

Predict the future

Your data analytics anywhere, anytime, any device.

VirtualRanger records all user interactions and reports allowing you to gain insights into what happened, where and when.

Using this data can lead to you being able to better predict where incidents may occur, what kind of incidents may take place and when allowing you to mitigate risks.

Current projects and users

Coming soon...

Mara Elephant Project - Maasai Mara

Why I created VirtualRanger

Over the past 10 months, I immersed myself in learning about AI and searching for areas where it could address real-world challenges.

While researching potential use cases and markets I could make a difference in, I came across the Mara Elephant Project (MEP) and immediately saw the potential for AI to make a significant impact. I recognised that AI could help tackle critical issues, like the human elephant conflict, logging, and poaching through improved communication and streamlined response systems.

After researching further and discovering the potential for this to be used across the world for a range of different applications from conservation to helping prevent illegal fishing, VirtualRanger was born.