The company provides an end‑to‑end network lifecycle platform that combines architecture design, synthetic traffic testing, chaos‑engineered fault injection, and continuous observability. Test results and telemetry are fed into CI/CD pipelines as policy‑as‑code gates, while a digital‑twin and AI analytics predict bottlenecks and guide routing adjustments. It serves enterprise network engineering teams and large cloud/edge providers managing distributed, hybrid‑cloud and edge infrastructures.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often deploy complex, multi‑site networks without a systematic way to validate that the designed topology and policies will behave reliably under real‑world conditions. This leads to silent fragilities, unexpected latency spikes, and costly downtime when changes reach production.
Solution
The company delivers an end‑to‑end network lifecycle platform that unifies architecture design, Network Integration Testing (NIT), and continuous observability. Synthetic traffic generators and chaos‑engineered fault injection emulate link loss, jitter, and latency to verify end‑to‑end behavior before rollout. Test results and telemetry are automatically fed into CI/CD pipelines, enabling policy‑as‑code validation and adaptive deployment gates. Integrated dashboards surface flow logs, eBPF traces, and active probe data, giving engineers real‑time insight into performance and security posture. The feedback loop continuously refines network configurations, supporting zero‑trust, SD‑WAN, and SASE architectures while reducing manual testing effort.
Target Audience
The primary customers are enterprise network engineering teams, cloud and edge service providers, and large organizations that manage distributed data‑center, hybrid‑cloud, and edge infrastructures.
Features
- Synthetic traffic engine that creates realistic application workloads and measures latency, jitter, and packet loss across the entire topology
- Chaos‑experiment framework for automated link, node, and service failure injection to validate resilience and failover policies
- Unified observability stack aggregating flow logs, eBPF traces, and active probe metrics into a single, searchable data lake
- CI/CD integration layer that translates test outcomes into policy‑as‑code gates and automated rollback triggers
- Digital‑twin simulation environment for pre‑deployment “what‑if” analysis of configuration changes
- AI‑driven analytics that predict emerging bottlenecks and recommend proactive routing or capacity adjustments
- FHIR‑compatible API for exporting compliance reports and audit trails to existing network management tools