Supported ventures
Integrated Geoscience Solutions
Integrated Geoscience Solutions (Pty) Ltd t/a IGS
Brands: IGS
Flagship product: Predictive sinkhole mapping using Earth Observation data
Founding team: Dr Tshepo David Khoza and a team of GIS specialists and computational geoscientists
Application: Predictive subsidence monitoring and risk mapping using InSAR and machine learning
Sector/Industry: Geospatial Intelligence / Earth Observation / Infrastructure Risk Management
Subsector: Remote Sensing, Disaster Risk Reduction, Insurance Technology
Year founded and commenced operations: 2017
Year partnered with TuksNovation: 2024
Email address: info@igeosciesol.co.za
Website: igeosciesol.co.za
Description
Integrated Geoscience Solutions (IGS) is a Pretoria-based Earth science company specializing in predictive subsidence mapping through satellite-borne Earth Observation data. Its flagship solution integrates InSAR, geotechnical, and infrastructure datasets into a machine learning platform to identify and monitor sinkhole risks.
The system supports infrastructure planning, insurance risk assessment, and disaster management. IGS aims to deliver scalable, real-time hazard mapping tools to municipalities, insurers, and national infrastructure agencies.
Growth Objectives
IGS seeks to scale its predictive subsidence platform nationally to cover high-risk infrastructure zones.
Key growth objectives include:
- Establish commercial partnerships with satellite data providers.
- Demonstrate predictive capability in pilot regions.
- Secure funding for national-scale deployment.
- Develop web-based alert and reporting tools.
- Expand into insurance and reinsurance markets.
Differentiation/Value Proposition
IGS offers a novel integration of Earth Observation data with infrastructure and geotechnical datasets to predict subsidence before it occurs.
Differentiators include:
- Continuous monitoring using InSAR and machine learning.
- Digital twin architecture for infrastructure risk mapping.
- Focus on high-impact zones (e.g., highways, settlements).
- Scalable solution with national and global applicability.
Business Stage/Phase
IGS is in the early commercialization phase, having completed proof-of-concept testing and field validation.
Current activities include:
- Development of predictive machine learning system.
- Field verification and stakeholder engagement.
- Preparation for pilot deployment and commercialization.
Investment Stage/Phase
IGS is seeking seed-to-growth stage funding to support technology scale-up and market entry.
Investment priorities include:
- Acquisition of continuous InSAR data.
- System development and field testing.
- Commercialization and certification support.
Investment Raised
IGS has raised funding from the following sources so far:
- Self-funded initial capital to establish operations and begin development.
- In-kind contributions for data acquisition and prototype testing.
- SANSA NeoFrontiers funding.