About Stratilyze
Stratilyze was built to improve how organizations manage reporting, case follow-up, and decision support across physical sites, assets, and field operations.
Why this problem matters
Many operational teams still rely on fragmented reporting, unclear handoffs, and weak closure records. That makes it harder to respond quickly, prove work was completed, and learn from recurring issues.
Why Stratilyze was built
The platform was created to give teams a clearer operational record from intake through verification, while leaving room for better analytics and AI assistance as workflow data matures.
What guides the product
Stratilyze is shaped by practical field workflow needs in industrial, infrastructure, and site-based environments.
Operational realism
The product is designed around how field issues are actually reported, assigned, resolved, and verified in real operating environments.
Accountability by default
Ownership, evidence, approvals, and audit history are treated as core workflow requirements, not optional extras.
Decision support over hype
Automation is useful when it helps teams classify, summarize, prioritize, and spot repeat issues without obscuring responsibility.
Practical deployment
We favor workflows that can start small, prove value quickly, and fit alongside existing GIS, maintenance, and operational systems.
Founder context
Jacob DeCosta - Founder and developer
Leads product architecture and development with a focus on operational workflows, geospatial context, field reporting, and accountable closure tracking in the physical world.
Angus Munro - Machine learning contributor
Supports machine learning evaluation and prototyping so automation can be introduced in practical ways such as summarization, clustering, and risk support.
What success looks like
A better operational system is not just more data. It means clearer ownership, faster follow-up, better evidence, fewer missed issues, and stronger decisions over time.