Reduce MTTR by up to 90%
Boost NOC productivity by 75%
Fast, scalable & secure
Lightning Fast AI Agents
Nanites is a system of specialized AI agents that reason and take action across your entire network, just like a human network engineer, but up to 100x faster. They work in parallel, making the system incredibly fast. Tasks that used to take hours now take minutes or even seconds. The system uses existing tools and safely accesses network devices to correlate telemetry, troubleshoot issues, and prepare fixes for approval, always with a human in the loop.
Founded by domain experts
Nanites was founded by experts from leading tech companies and universities. Our founding team includes CCIE-certified network engineers and cybersecurity specialists, bringing 34 years of combined domain experience across enterprise, service provider, and data center networks. We have deployed networks for startups to Fortune 500 companies and experienced the challenges firsthand.
The Problem
Networks are hard to troubleshoot because the evidence is fragmented across disparate vendor devices, tools, OSes, telemetry, logs, and configs.
Nanites safely investigates incidents like a NOC engineer: analyzes alerts, runs checks in parallel, correlates the story, opens a ticket, notifies the engineer, and proposes a safe, scoped fix.
How Nanites works
01/
Trigger & Goal
Triggered by an alert or user input, then establishes the goal and pulls the relevant context.
02/
Investigate
Queries devices and data sources to gather live or historical signals from the network.
03/
Diagnose & Next Steps
Correlates findings to identify root cause, then recommends next steps.
04/
Remediate & Verify
A human makes the change, then Nanites verifies the issue is resolved.
The system plugs into your existing telemetry, monitoring, ticketing tools, and data sources, then correlates metrics, logs, and alerts end-to-end. No rip-and-replace. Nanites ties everything together and makes your current stack smarter.
02/
Uses your existing tools
Built for Network Engineers
Nanites logs into devices just like you do and runs real read-only commands across disparate vendors. It reasons over raw outputs instead of abstract dashboards or wrappers, so it sees the same truth you see.
01/
Speaks your device’s CLI
Every agent workflow is guardrailed and explainable. Nanites documents each step and proposes a safe, scoped fix.
03/
Safe, deterministic workflows
From data centers to service provider networks, Nanites is built to handle mixed vendors, OSs, and topologies. It treats your heterogeneous tech stack as a single system.
04/
Multi-vendor by design
Nanites is always on call for noisy, late-night incidents: it triages alerts, homes in on probable root causes, and assembles ready-to-apply fixes up to 100x faster than traditional workflows, so you spend less time firefighting and more time engineering.
05/
On-call 24/7
FAQ
In networking, the cost of a wrong action isn’t “a bug,” it’s an outage.
We engineered Nanites so you don’t have to “trust the LLM” to behave. In production, Nanites runs in read-only mode: it can observe, collect signals, and run diagnostic commands, but it does not have write access to your devices.
Guardrails are enforced outside the agent at both the application layer (Nanites’ tools) and the device layer (read-only access), so even if an LLM were to generate something unsafe, the underlying execution path won’t allow destructive or unauthorized operations.
When remediation is needed, Nanites can recommend the exact change and verification steps, but applying changes is kept under explicit operator control.Nanites thinks and acts like a network engineer. It is not running predefined scripts or playbooks.
It understands context, reasons about what is happening, logs into devices, uses your existing tools, accesses live data sources, correlates telemetry, troubleshoots, and proposes fixes across networks of any size and vendor mix. It does all of this deterministically and safely inside your environment, using the same workflows your engineers use, up to 100x faster, and always with a human in the loop.
Although the system can run predefined scripts or playbooks, the core system is fully agentic and determines its own guardrailed workflows.
From what we have seen, most agentic systems in networking today sit on top of a few tools, analyze alerts, or suggest commands that an engineer still has to run. Nanites is an agentic, AI-native system that behaves like a real network engineer end-to-end. We have been building it as a fully agentic system since early 2024, not as a bolt-on or pivot.
This is one of the hardest problems in AI today, because it requires deep domain expertise and thousands of evaluations to tune the system across heterogeneous devices and complex use cases.
To learn more and watch a demo, see our blog "The Role of AI Agents in Network Automation".Our system operates semi-autonomously when triggered or given a goal.
Nanites is in early access with select design partners. We’re validating reliability, guardrails, and workflows in controlled lab and pilot environments before broader production availability.
Nanites is currently in read-only mode. Write permissions are disabled.
We can enable write permissions in a testing environment only. Nanites will only make changes with explicit human approval. It shows the exact commands/diff first, explains why, logs what happened for auditability, and supports rollback.
Some capabilities are still under active development and testing.Nanites is engineered with security as the first priority. It uses least-privilege access to your tools and devices and never uses your data to train external models. All communication is encrypted, every action is logged, and the system cannot make configuration changes without explicit human approval. Role-based controls and strict policy boundaries prevent unauthorized access or data exfiltration, both internally and externally. We follow best practices for securing agentic AI systems, including mitigations for prompt injection and agent poisoning. Because this is a novel and rapidly evolving field, some advanced protections are still under active development.
Nanites connects to your systems the same way your engineers do today. It collects telemetry from devices using protocols like gNMI, SNMP, syslog, and streaming telemetry, and logs into routers, switches, and firewalls over SSH and APIs such as NETCONF and RESTCONF. It integrates with your existing tools and data stores through their APIs, for example time-series databases and monitoring platforms. You control which accounts and permissions it uses.
Our system supports networks of any size or type; however, it delivers the greatest value in large-scale, complex environments like service provider, data center, and enterprise networks.
Our system can be deployed on-premises or in the cloud.
No, our system integrates seamlessly with your existing tools, systems, and workflows. It is an AI network engineer that interacts with your existing tech stack just like a human, making it easy to onboard.
Nanites are microscopic machines or nanobots, often conceived in science fiction, that are capable of autonomously performing a wide array of tasks at a nanoscale. In our context, they are fleets of AI agents, much like swarms of bees, working together in parallel to perform time-consuming networking tasks.
FAQ
In networking, the cost of a wrong action isn’t “a bug,” it’s an outage.
We engineered Nanites so we don’t have to “trust the LLM” to behave. In production, Nanites runs in read-only mode: it can observe, collect signals, and run diagnostic commands, but it does not have write access to your systems.
Guardrails are enforced outside the agent at both the application layer (Nanites’ tools) and the device layer (read-only access), so even if an LLM were to generate something unsafe, the underlying execution path won’t allow destructive or unauthorized operations.
When remediation is needed, Nanites can recommend the exact change and verification steps, but applying changes is kept under explicit operator control.Nanites thinks and acts like a network engineer. It is not running predefined scripts or playbooks.
It understands context, reasons about what is happening, logs into devices, uses your existing tools, accesses live data sources, correlates telemetry, troubleshoots, and proposes fixes across networks of any size and vendor mix. It does all of this deterministically and safely inside your environment, using the same workflows your engineers use, up to 100x faster, and always with a human in the loop.
Although the system can run predefined scripts or playbooks, the core system is fully agentic and determines its own guardrailed workflows.
From what we have seen, most agentic systems in networking today sit on top of a few tools, analyze alerts, or suggest commands that an engineer still has to run. Nanites is an agentic, AI-native system that behaves like a real network engineer end-to-end. We have been building it as a fully agentic system since early 2024, not as a bolt-on or pivot.
This is one of the hardest problems in AI today, because it requires deep domain expertise and thousands of evaluations to tune the system across heterogeneous devices and complex use cases.
To learn more and watch a demo, see our blog "The Role of AI Agents in Network Automation".Our system operates semi-autonomously when triggered or given a goal.
Nanites is in early access with select design partners. We’re validating reliability, guardrails, and workflows in controlled lab and pilot environments before broader production availability.
Nanites is currently in read-only mode. Write permissions are disabled.
We can enable write permissions in a testing environment only. Nanites will only make changes with explicit human approval. It shows the exact commands/diff first, explains why, logs what happened for auditability, and supports rollback.
Some capabilities are still under active development and testing.Nanites is engineered with security as the first priority. It uses least-privilege access to your tools and devices and never uses your data to train external models. All communication is encrypted, every action is logged, and the system cannot make configuration changes without explicit human approval. Role-based controls and strict policy boundaries prevent unauthorized access or data exfiltration, both internally and externally. We follow best practices for securing agentic AI systems, including mitigations for prompt injection and agent poisoning. Because this is a novel and rapidly evolving field, some advanced protections are still under active development.
Nanites connects to your systems the same way your engineers do today. It collects telemetry from devices using protocols like gNMI, SNMP, syslog, and streaming telemetry, and logs into routers, switches, and firewalls over SSH and APIs such as NETCONF and RESTCONF. It integrates with your existing tools and data stores through their APIs, for example time-series databases and monitoring platforms. You control which accounts and permissions it uses.
Our system supports networks of any size or type; however, it delivers the greatest value in large-scale, complex environments like service provider, data center, and enterprise networks.
Our system can be deployed on-premises or in the cloud.
No, our system integrates seamlessly with your existing tools, systems, and workflows. It is an AI network engineer that interacts with your existing tech stack just like a human, making it easy to onboard.
Nanites are microscopic machines or nanobots, often conceived in science fiction, that are capable of autonomously performing a wide array of tasks at a nanoscale. In our context, they are fleets of AI agents, much like swarms of bees, working together in parallel to perform time-consuming networking tasks.