NetFabric delivers an AI‑driven automation layer for network operations, continuously ingesting telemetry and ticket data from any vendor to autonomously investigate incidents, map dependencies, and produce structured root‑cause reports with evidence in minutes. The platform also performs post‑change validation, detects regressions, and executes deterministic remediation playbooks from existing documentation, all in a read‑only mode that integrates with existing monitoring and ticketing tools.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Network operations teams spend extensive time manually investigating incidents, correlating data from disparate vendor tools, and executing post‑change checks, which limits scalability and delays resolution of outages and performance issues.
Solution
NetFabric provides an AI‑driven automation layer that continuously ingests raw telemetry and ticket data from any network vendor, then autonomously investigates incidents, maps dependencies, and generates structured root‑cause reports with supporting evidence in minutes. The platform runs in read‑only mode, preserving existing configurations while performing deep, vendor‑agnostic analysis of unstructured data. It can automatically verify post‑change states, detect regressions, and select appropriate run‑books from existing documentation to execute safe, deterministic remediation steps. Results are delivered through a unified interface and can be exported to existing monitoring or ticketing systems, enabling engineers to focus on higher‑level design and optimization tasks. Deployment options include on‑premise installations, ensuring data sovereignty and compliance with regulations such as DORA.
Target Audience
Primary customers are network operations centers, IT infrastructure teams, and security/compliance groups in enterprises that manage multi‑vendor, large‑scale network environments.
Features
- AI agents that ingest and correlate data from any network vendor without requiring custom integrations
- Automated incident investigation that produces a structured root‑cause analysis with evidence in under three minutes
- Post‑change validation checks that detect regressions across all affected systems
- Playbook automation that selects and executes deterministic remediation steps from existing knowledge bases
- Read‑only operation mode that analyzes networks without modifying configurations or impacting performance
- Flexible deployment models, including on‑premise installations for full data control and compliance
- Unified output that integrates with existing monitoring, ticketing, and compliance reporting tools