What we do

PrediqAI builds advanced data and AI solutions for insurance companies, working across areas such as pet, motor, specialty and construction insurance – to name a few. We develop data platforms that are robust, scalable, and highly optimised, forming the foundation for AI-driven applications. In addition, we develop machine learning-driven smart pricing engines, quoting tools, AI agents and GenAI applications. In essence, we help insurers make better, faster, and smarter decisions.

Why Work For Us

At PrediqAI, we work in small, dynamic teams where we iterate quickly, while always making sure we do things the right way and build solutions that last. You’ll collaborate with talented colleagues who are passionate about learning, and we make it easy for you to stay on top of your game with a R15,000 annual study budget.

While we operate like a start up, we are backed by an international insurance group and are their preferred data & AI partner, giving us the best of both worlds with innovation and stability.

We’re remote-first, so you can work from anywhere, travel freely, and we meet in person roughly once per quarter, giving you flexibility without losing connection.

Our Culture

We live by four core principles:

• Set the standard: Insist on excellence in everything you do.
• Be Human: Lead with humility and treat others with respect.
• Get it done: Have a bias for action. Own your work and take pride in it.
• Adapt and evolve: Embrace new tools, technologies, and ways to improve.

Our Engineering Processes

Our engineering process is designed around collaboration, autonomy, and quality. We work in small, cross-functional teams that own solutions end-to-end — from design discussions to deployment and monitoring.

Our stack leans modern and practical: Python, SQL, dbt, Spark/Databricks, and cloud-native storage and orchestration. We use CI/CD, version-controlled transformations, and strong observability so we can deploy confidently and debug fast.

We’re big believers in code reviews, open communication, and leaving things better than we found them. If you like shaping both the data platform and the culture around it, you’ll fit right in.

Our Hiring Process

1. Introductory Chat (30 mins): We start with a casual conversation to get to know you, learn about your experience, and see if there’s a mutual fit. It's a two-way discussion, not an interrogation.
2. Technical Interview (1 hour): A friendly, hands-on session where we explore your skills and experience. Don’t worry it’s not scary, just an opportunity to see how you approach problems.
3. Bar Raiser (30 mins): A discussion focused on how we work and our culture of excellence. This is your chance to see how we collaborate and raise the bar, and for us to understand how you would fit in.