Loading organizations...
§ Private Profile · Palo Alto, CA, USA
AIOps for network ops. Detects anomalies, predicts incidents, automates troubleshooting for telecom & large enterprises.
Based in Palo Alto, California, Augtera Networks develops an artificial intelligence and machine learning platform designed to automate network operations and incident management. The company operates a B2B enterprise software model, providing subscription SaaS solutions to telecommunications providers, large cloud operators, and managed service providers. Operating with an estimated workforce of 50 to 100 employees, the enterprise has secured approximately $17 million in total financing, which includes a $13 million Series A funding round completed in 2021. Augtera Networks is backed by prominent institutional investors such as Bain Capital Ventures and Intel Capital, while serving major corporate customers like Orange. The firm recently expanded its software ecosystem by launching a certified integration with ServiceNow to streamline information technology service management workflows. Augtera Networks was originally founded in 2014 by Rahul Aggarwal and Bhupesh Kothari.
Augtera Networks has raised $18.0M across 2 funding rounds.
Augtera Networks has raised $18.0M in total across 2 funding rounds.
Augtera Networks has raised $18.0M across 2 funding rounds. Most recently, it raised $13.0M Series A in June 2021.
Augtera Networks has raised $18.0M in total across 2 funding rounds.
Augtera Networks's investors include Intel Capital, 500 Global, Acrew Capital, AIX Ventures, Amadeus Capital Partners, Atomico, Bain Capital Ventures, Cedar Capital Group, Curie.Bio, Dell Technologies Capital, Dispersion Capital, Footwork.
# Augtera Networks: Network AI for Modern Operations
Augtera Networks builds AI-powered network operations software that automatically detects anomalies, learns network patterns, and automates workflows to prevent incidents before they occur[1][2]. The company serves enterprise IT and telecommunications organizations that depend on complex, multi-cloud network infrastructures—sectors where network downtime carries significant operational and financial costs.
Founded in 2016 and based in Palo Alto, California, Augtera has raised $17M in funding through Series A[1]. The company addresses a critical pain point: traditional network monitoring generates overwhelming volumes of alerts that obscure genuinely critical issues. Augtera's platform uses machine learning to create context from raw machine data, identify true outliers in real time, and surface only actionable events[3]. This allows NetOps teams to eliminate noise and focus on what actually matters—keeping networks running reliably.
Augtera Networks was founded in 2016 by Rahul Aggarwal, who serves as Founder and CEO[2]. The company emerged during a period when network complexity was accelerating due to cloud adoption, multi-domain infrastructures, and exponential growth in network data. Rather than building yet another monitoring tool, Aggarwal and the team recognized that the real bottleneck wasn't data collection—it was intelligent interpretation. The insight was straightforward: apply machine learning to network operations to transform raw signals into preventive intelligence.
The company has gained traction with Fortune 500 deployments[2], including partnerships like Vyve Broadband, where Augtera's platform is used in production to prevent network incidents[2]. This early customer validation demonstrates that the market recognizes the value of AI-driven network operations.
Augtera operates at the intersection of two powerful trends: the explosion of network complexity and the maturation of machine learning. As enterprises adopt multi-cloud strategies, containerization, and distributed architectures, traditional rule-based network monitoring becomes increasingly inadequate. Simultaneously, advances in ML have made it feasible to apply sophisticated pattern recognition to network operations at scale.
The company sits within a growing category of AIOps and network observability solutions, competing alongside firms like Kentik (founded 2014) and Selector (founded 2019)[1]. However, Augtera's focus on prevention—rather than just visibility—positions it differently. In an era where network downtime costs thousands per minute, the ability to prevent incidents rather than simply detect them faster represents a meaningful shift in how enterprises think about network operations.
The timing is favorable: enterprises are actively consolidating their NetOps toolstacks and seeking automation to address staffing constraints. Augtera's value proposition—fewer tools, less noise, more prevention—aligns directly with these priorities.
Augtera Networks is well-positioned to capture share in the expanding network AI market, particularly as enterprises prioritize incident prevention over reactive monitoring. The company's Series A funding and Fortune 500 customer base suggest product-market fit, though its sub-$5M revenue[2] indicates significant runway ahead.
The next phase will likely involve deepening vertical expertise (telecommunications, financial services, cloud providers), expanding automation capabilities, and potentially pursuing strategic partnerships or acquisition by larger infrastructure software vendors. As networks become more critical to business continuity and more complex to manage, the demand for intelligent, preventive network operations will only intensify—positioning Augtera as a key player in how enterprises solve one of their most persistent operational challenges.