Turning complex data into business value

DevStat is a data science and AI consultancy specialising in enterprise machine learning, applied AI solutions, and statistical modelling.

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What we do

End-to-end data science solutions, from strategy through to production deployment.

Applied AI & Automation

End-to-end AI systems that automate complex business processes — from unstructured data extraction to classification and validation. Production-proven across 20+ use cases.

Predictive Analytics & ML

Forecasting, classification, anomaly detection, and optimisation models deployed as production APIs. Deep experience in time series, Bayesian networks, and ensemble methods.

Cloud & MLOps

AWS-native architectures with automated training, testing, and multi-environment deployment pipelines. Infrastructure-as-code with Terraform and CI/CD via GitHub Actions.

Generative AI Integration

LLM-powered solutions using Claude, GPT, and Amazon Bedrock. Few-shot prompting, retrieval-augmented generation, and multimodal AI pipelines for enterprise use cases.

Statistical Consulting

Rigorous statistical analysis for research, regulatory, and business applications. Specialising in credit risk modelling, clinical trials, spatial statistics, and causal inference.

Training & Mentorship

Upskilling teams in data science, machine learning, and cloud infrastructure. Curriculum development with over a decade of postgraduate teaching experience.

Built on deep expertise

DevStat was founded by Dr Theodor Loots, a data scientist and mathematical statistician with over 15 years of experience across academia, financial services, and the automotive industry.

As technical lead of a data science competency at a global automotive OEM, Theodor has designed and deployed production AI systems at scale, built MLOps platforms on AWS, and led multi-year optimisation programs integrating real-time enterprise data.

Prior to industry, he served as a senior lecturer at the University of Pretoria, supervising 30+ postgraduate students and publishing 30+ peer-reviewed papers. He holds a PhD in Mathematical Statistics and has been recognised by TWAS, the Heidelberg Laureate Forum, and the Japanese STS Forum.

15+
Years experience
30+
Publications
20+
AI solutions deployed
PhD
Mathematical Statistics

Industries we've worked in

Cross-sector experience means we understand your data challenges, not just the algorithms.

Automotive Financial Services Credit Risk Insurance Fleet Management Healthcare Government Higher Education Ecology & Conservation Security & Defence Logistics

Let's talk about your data

Whether you need a production AI system or a one-off statistical analysis, we'd love to hear from you.

Location Pretoria, South Africa
LinkedIn Theodor Loots