Purpose-Built AI solutions for your business

Quickly start and scale your data-driven, AI-powered journey. From rapid prototyping to enterprise-wide implementation, we're your partner in using AI to achieve measurable outcomes and stay ahead.

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Solve your data challenges

become data driven

High-quality data is essential for achieving reliable AI outcomes.

At each stage of the data lifecycle—from generation and collection to analysis and archival - we adapt our cutting-edge tools to ensure your data management process is uniquely suited to your requirements.

This tailored approach enables us to build a robust foundation for successful AI initiatives and gain a competitive edge for you.

Find the right starting point for your AI journey

Business Process Map

Every AI journey is unique. We'll assess your business goals, current tech stack, and team capabilities to identify the most promising AI entry points.

Whether it's automating routine tasks or enhancing customer insights, we'll pinpoint where AI can deliver quick wins and long-term value for your specific situation.

Run small and quick experiments to prove concepts

Experiment with AI

Before diving into full-scale AI projects, we believe in proving value fast. We'll design and run focused AI experiments tailored to your key business questions.

These quick tests let you see AI's potential in action, build internal buy-in, and refine your approach before making bigger investments.

Build end-to-end solutions tailored to your specific needs

E2E Solutions

Once we've identified winning AI concepts, we'll develop comprehensive solutions that integrate seamlessly with your existing systems and workflows.

Our team handles everything from algorithm development to user interface design, ensuring the final product addresses your unique challenges and amplifies your competitive advantage.

Maximize the return on your investments

Maximize ROI

Investing in AI should deliver clear, measurable value. We help you track and optimize the performance of your AI initiatives, ensuring they consistently drive business results. Our approach combines rigorous ROI analysis with ongoing fine-tuning of your AI systems.

We'll identify opportunities to scale successful projects, sunset underperforming ones, and continuously align your AI strategy with evolving business goals.

Featured Work

Enhancing wildlife monitoring and conservation through computer vision

Started as a quick experiment to automatically identify and tag species in camera trap photographs. Evolved into an integrated digital platform and information management system.

Wildlife conservation
  • Client

    A south-african game reserve

  • Location

    Limpopo Province, South Africa

  • Sector

    Conservation and Wildlife Management

  • Services

    Data Services, Systems Integration, AI/ML Services

  • Primary Technology

    Computer Vision

  • Know more about the project

Overview

A renowned South African game reserve faced significant challenges managing the vast amount of camera trap images that needed daily review.

These images, running into thousands each week, were essential for monitoring wildlife but strained resources and staff time. The reserve's existing process also suffered from questionable accuracy in species identification, which was critical for both conservation and anti-poaching efforts.

The Challenge

The game reserve's main challenges included:

  • High volume of camera trap images
  • Accuracy issues in species and injury identification
  • Lack of integration in technology systems
  • Inadequate real-time monitoring

Solution

To address these challenges, our team conducted a preliminary experiment to demonstrate the feasibility of automated species and injury identification using advanced computer vision techniques.

This initial success led to the development of a comprehensive solution that integrated state-of-the-art inventory management with camera trap image processing software and survey creation tools.

Outcome

The implementation of this AI-driven system transformed the reserve's operations with significant outcomes and extended beyond operational efficiencies around conservation efforts and tackling poaching.

87 %

Time Efficiency

Reduced the hours spent by staff and volunteers on manual image processing from 40 hours per week to 5 hours per week

95 %

Enhanced the accuracy of species identification from 70% to 95%, significantly improving the reliability of conservation data.