"Monitoring all internal controls is practically impossible and usually happens after-the-fact, this makes it difficult to get the first line engaged on these controls and exposes us to significant risks." - Head of Risk & Control
See It in Action
Bring your evidence into CovaCtrl through direct uploads or integrations with your existing data sources. Select the control design to test against and let the platform take it from there.
Every reporting period, CovaCtrl automatically processes your evidence through a multi-step ML and LLM pipeline — extracting, matching, analysing, and scoring each occurrence against your control design. Consistent results, every cycle.
Each control receives a detailed assessment with per-check results, execution status, and root-cause insights for every occurrence. Full evidence traceability means every finding links back to its source.
Real-time dashboards show control effectiveness across your entire portfolio. Filter by type, score, and trend to focus on what matters most — and spot risk gaps before they materialise.
Monitor controls across countries and entities from a single view. Drill into any region to see performance, issues, and trends — giving you complete visibility over your international control environment.
Automatically draft follow-up actions so nothing stalls after the review. Accelerate the feedback loop between risk teams and operational teams, making control execution a continuous, collaborative process.
"The result: stronger control, less repetitive work and controls that are not just written down, but actually effective."
Backed by
About Us
Built in Ghent, Belgium. Backed by VLAIO. We're building the technology to make internal controls not just well-designed, but actually effective.
Co-founder & CEO
MSc General Management, Vlerick Business School
MSc Finance & Risk, Ghent University
Experienced in risk advisory and internal control monitoring. Vic saw firsthand how enterprises struggle with manual control testing and built CovaCtrl to solve it.
Co-founder & CTO
MSc Biomedical Engineering, Ghent University & UPM Madrid
BSc Engineering, Ghent University
AI engineer and full-stack developer with a background in deep learning and data flow automation. Alexander designs and builds the ML pipelines that power CovaCtrl.
