BUSINESS CONCEPTS
These are provided as concepts to demonstrate the application of the “Mauri Model”, and as a creative outlet. If you have any ideas you would like to gift to the project please used the Contact Us form or our socials (links at the bottom of the page).
BUSINESS CONCEPT #324 - KAITIAKI DRONE SERVICES
A fleet of drones offering monitoring services for forest health, water quality, and precision agriculture to councils, Iwi, and landowners.
Kaitiaki Drone Services provides high-resolution aerial data and multispectral imaging to monitor and protect the ecological integrity of Te Tai Tokerau. We serve Iwi authorities, regional councils, and farmers by delivering actionable insights that ensure the Mauri of the land and water is improving.
The Problem: Traditional environmental monitoring in the North is often reactive, slow, and expensive, leaving critical issues like Kauri dieback and water contamination undetected until significant damage occurs.
The Solution: We utilise a fleet of advanced drones to provide a "Universal Explainer" capability for the environment. By using multispectral sensors, we can detect plant stress and water quality issues in real-time, allowing for "negentropic" interventions before a crisis manifests.
BUSINESS CONCEPT #311 - INDIGENOUS AI CONSULTANCY
A specialised firm training Large Language Models (LLMs) on indigenous datasets using the Kaitiakitanga License framework to prevent digital colonialism.
This consultancy provides high-fidelity cultural AI services by training and fine-tuning models on curated indigenous dataset. We serve global tech firms, government agencies, and Iwi organisations, ensuring that AI applications respect indigenous intellectual property through the operationalisation of a Kaitiakitanga License.
The Problem: Current AI models often "hallucinate" or misinterpret indigenous knowledge because they are trained on scraped, low-fidelity data without cultural context—an act defined in our research as "Digital Colonialism".
The Solution: We provide a "Linguistic Hard Fork" for the digital age by training models on sovereign, high-quality datasets that are governed by the people they represent. This ensures AI outputs are culturally accurate, ethically sourced, and negentropic.