Cognitive Systems

Year partnered with Savant: 2020
Sector: Data and Analytics
Industry: Artificial Intelligence and Machine Learning
Product: SAME” – a context aware video surveillance technology for continuous, in-stream behaviour monitoring and anomaly detection
Market Size: (Local) ZAR 100 million (Global) USD 11.33 billion
Differentiation: EDGE-driven Hardware Device

Investment Stage: Pre-Seed
Stage: Early Commercialisation
Management Team:  Anet Potgieter

About Cognitive Systems

Cognitive Systems specializes in pioneering the next generation of artificial intelligence with their innovative Artificial Mind Engine (AME) architecture. Designed for versatile application development, AME empowers solutions across diverse sectors or tailored developments for specific challenges.

At the core of their mission is the demonstration of commercial viability, with a strategic focus on their existing surveillance solution as a near-term opportunity for proving the platform’s concept. From anomaly detection to equipment monitoring, their solutions extend to industries such as mining, agriculture, animal health, and beyond. Cognitive Systems prioritizes the validation of commercial viability as a precursor to aggressive scaling efforts, driving innovation and impact in the AI landscape.

Value Proposition

Cognitive Systems seeks to improve data processing and predictive analytics, encompassed in a fixed Structure Bayesian Network. Cognitive Systems is currently focused on Intelligent Video Surveillance solutions for monitoring in-stream behaviour and anomaly detection.

Cognitive Systems Artificial Mind Engine (AME) is sector and data agnostic. It’s multifarious uses include other machine learning applications such as particle anomaly detection, equipment monitoring, predictive maintenance solutions for the mining industry, agricultural harvesting optimisation, animal vaccine development, disease epidemic management and population allergy management.


Anet Potgieter

Anet is the founder of Cognitive and has over 20 years’ experience in Agent-based Systems, focusing on Distributed Artificial Intelligence and Cognitive Computing in streaming Big Data environments, including video and sensor streams in the emerging Internet of Things. Anet has a PhD in Computer Science and is the key technical resource in the company.

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