Network
Network Integration Testing (NIT) provides a methodology that unites network architecture, testing, and observability to validate designs before they reach production. The approach uses synthetic traffic, chaos experiments, and policy assertions to feed insights into CI/CD gates, enabling organizations to manage complex multi-site infrastructures by treating the network as code.
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Modern networks underpin every digital experience, yet organizations stitching together data centers, clouds, and edge sites face architecture choices that can simplify operations or introduce silent fragility. Delayed or infrequent validation of network changes hampers early detection of failures and exposes infrastructure to costly downtime.
Solution
Network Integration Testing (NIT) provides a practical approach to building reliable, secure networks by uniting architecture, testing, and observability. The methodology validates network designs through synthetic traffic, chaos experiments, and policy assertions, mapping critical paths and emulating link loss, latency, and jitter. Test data feeds insights back into runbooks and CI/CD gates so risky changes never reach production. Continuous feedback loops foster rapid improvement, allowing organizations to manage complex multi-site infrastructures by treating the network as code and designing for failure upfront.
Target Audience
Primary customers are enterprise IT and network operations teams managing multi-site infrastructures across data centers, clouds, and edge locations who need to validate network designs and prevent costly downtime.
Features
- End-to-end validation using synthetic traffic, realistic data sets, and chaos experiments across the network infrastructure, not just isolated device configurations
- Policy assertions for encryption, segmentation, and failover that codify desired behaviors as automated tests
- Integration with CI/CD gates to prevent risky changes from reaching production
- Infrastructure-as-code enablement for repeatable configurations and strategic rollouts behind feature flags and canaries
- Business metric tracking including latency budgets met, tickets reduced, and revenue protections achieved
- Early adoption of digital twins as virtual replicas of physical networks for real-time simulation and testing without disrupting operations