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About Polidata

Polidata is a specialist technology company helping smaller organisations use AI safely, strengthen cyber resilience, and get more value from Microsoft platforms they already use.

Secure AI and Cyber Security belong in the same conversation.

AI creates new ways to work, but it also changes the risk model. Polidata brings Secure AI and AI Cyber Security together so clients can adopt useful automation, protect sensitive data, and improve security operations without building a large enterprise technology function.

Who we work with and what we help with.

Most clients are small to mid-sized teams that need enterprise-grade thinking, but delivered in a way that fits their budget, maturity, and operating reality.

Regulated SMEs

Financial services, wealth management, professional services, and other data-sensitive teams that need stronger controls without enterprise overhead.

Microsoft-first environments

Organisations already using Microsoft 365, Azure, Entra ID, Defender, Sentinel, or Graph and wanting better value from that platform base.

Secure AI adoption

Private AI foundations, model hardening, knowledge systems, and agentic workflows that are designed around governance and measurable value.

Cyber security uplift

Risk assessment, Microsoft security deployment, AI-assisted monitoring, and vCISO or vCTO support for teams that need practical operating discipline.

Founder

Polidata is led by Pieter Snyman, with a practical bias toward systems that work, controls that can be operated, and AI that earns its place in the business.

Pieter Snyman, founder of Polidata
Pieter Snyman

Founder and CEO

Pieter started Polidata to help organisations ask better technology questions and turn the answers into working systems. His work sits where data, AI, software engineering, cyber security, and executive decision support overlap.

His background includes physics, mathematics, applied mathematics and computer science studies at North-West University, followed by hands-on delivery across analytics, cloud architecture, secure application development, Microsoft platforms, and cyber security. That mix shapes Polidata's delivery style: clear thinking, practical engineering, and cost-aware decisions.

Pieter also brings executive and management experience from work with Deutsche Bank and South African Airways. That perspective matters for Polidata's vCISO and vCTO services, where the work has to connect technical risk, commercial decisions, governance, and the operating reality of leadership teams.

The aim is not to make AI or security feel bigger than the business problem. It is to help clients build enough capability to move faster, reduce risk, and stay in control as their technology environment changes.

Team

Polidata works with a trusted network of carefully selected professionals who bring strong judgement, discretion, and accountability to client work. People are chosen for proven expertise, delivery discipline, and the ability to work safely in sensitive environments. Cyber security team members remain anonymous by design.

Architects: cloud, cyber security, and data

Design Microsoft cloud platforms, security controls, data estates, and AI workloads that can be operated, governed, and improved over time.

Cloud engineers

Configure, automate, and support Azure, Microsoft 365, identity, networking, monitoring, and platform services for reliable production environments.

Data scientists and data engineers

Build ingestion, modelling, analytics, AI context, and automation pipelines that preserve data quality, access control, and security.

Cyber security analysts and engineers

Assess risk, harden environments, tune Microsoft security tooling, investigate signals, and improve detection and response operations.

Computer scientists and software engineers

Build secure applications, integrations, agentic workflows, APIs, and internal tooling with maintainable engineering patterns.

Visualisation, design, and UX specialists

Create interfaces, dashboards, reports, and decision-support experiences that make complex data, risk, and workflow information usable.

Start with the problem you need to solve.

Share the environment, the risk, or the workflow that needs attention. The first conversation is about finding the practical starting point.