Reduce MTTR by up to 90%
Boost productivity by 75%
Fast, scalable & secure
Built by network engineers
Our agentic AI system automates and simplifies operations in complex, large-scale service provider, data center, and enterprise networks. Working alongside you, the AI acts just like a human engineer by autonomously taking action across your network: handling alerts, troubleshooting, and optimizing performance by using software tools, accessing devices, analyzing data, reasoning, and acting, all with exceptional precision and speed.
The problem
Engineers are overwhelmed by operational complexity, managing diverse vendors, software, infrastructure tools, and protocols, all while juggling on-call troubleshooting, network management, and security. We built Nanites AI to solve these decades-old and increasingly complex problems with new technology that autonomously troubleshoots and makes it easy to manage all these heterogeneous components.
Founded by domain experts
Nanites was founded by domain experts from leading tech companies and universities. Our team brings 34 years of combined experience in enterprise, service provider, and data center networks. We have deployed networks for startups to Fortune 500 companies and experienced the challenges firsthand.
How autonomous troubleshooting works
Autonomous Problem Response
Instantly reacts to alerts from monitoring tools (e.g., Grafana) or analyzes your network on its own to identify and predict issues.
Autonomous Problem Assessment
Quickly isolates the problem, determines troubleshooting steps, assesses the impact, and alerts the user to the problem.
Autonomous Troubleshooting
Executes the self-determined troubleshooting steps in seconds by accessing relevant devices and data.
Rapid
Remediation
Provides a precise diagnosis and can even fix the problem on its own with your permission per your company policy.
FAQ
Yes, our system is fully autonomous and capable of independently troubleshooting and resolving network incidents. However, it is engineered to request human permission before executing critical actions as a safeguard.
Yes, our AI system can make changes to your network devices and systems independently, but only with explicit human approval.
-
Human Approval Required: The AI identifies issues and proposes solutions through a natural language conversation. A human then reviews these recommendations, asks follow-up questions as needed, and explicitly approves any action before it is taken.
-
Strict Guardrails: The system operates within a secure framework that enforces strict guardrails, ensuring compliance with your network policies and security standards.
-
Transparency and Logging: All recommendations, approvals, and resulting actions are logged to provide a complete and auditable record.
-
Default Read-Only Mode: By default, the system is set to operate in a read-only mode, meaning it only observes and reports on network conditions without making any changes. This ensures that no modifications occur until explicitly configured and approved by your team.
This approach ensures that the AI supports your network operations while you remain in full control of all changes.
-
Our system can be fully deployed on-premises, including the LLM, ensuring that your data remains within your environment and is never exposed or used to train external models. Alternatively, our cloud-based SaaS offers secure access with robust encryption and strict access controls.
In all deployments, we implement comprehensive security measures, including encryption, access controls, and adherence to industry standards, to ensure your data remains safe, private, and compliant with your organization’s policies.Our system integrates with leading networking vendors, including Cisco and Juniper, as well as popular tools like Grafana, SolarWinds, Prometheus, DataDog, and Splunk. We are continuously adding more integrations to support additional tools and platforms.
Our system securely connects to your devices using access protocols and typically relies on an inventory file or API integrations to map your network.
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, in the cloud, or consumed as a SaaS solution. A hybrid approach is also available, tailored to factors such as use case, network size, latency, cost, and compliance requirements.
Additionally, it can be deployed locally as a fully self-contained solution, providing complete control over your data and infrastructure.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.
And just like a human network engineer, it continuously learns about you and your network, business operations, and processes, improving over time.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 reimagined as swarms of vertical AI agents, much like swarms of bees, working together in parallel to automate time-consuming networking tasks.
*Disclaimers
-
Early Access Product: Nanites.ai is an early-stage product, and some features and vendor integrations are still under active development. Performance and functionality may evolve as we continue to refine and enhance the system.
-
AI-Powered Technology: Nanites.ai leverages advanced AI technologies that are novel and continuously evolving. While designed for high accuracy and reliability, occasional unexpected behavior may occur.
-
Deployment Scenarios: Nanites.ai is designed for deployment in service provider, data center, and enterprise networks. While initial testing has demonstrated the system's capabilities, it is an early-stage product, and more rigorous testing is underway to validate performance in diverse real-world scenarios. Deployments can be on-premises or in the cloud, depending on customer needs, and the system can operate as fully self-contained or securely connected to external APIs, ensuring flexibility and security.
-
Human-in-the-Loop Operations: Nanites.ai operates with human-in-the-loop agentic workflows to ensure oversight and alignment with customer needs during all troubleshooting and remediation processes. The system has been designed to never execute any actions autonomously without explicit human approval, prioritizing control and operational safety.
-
Foundational LLMs: Nanites.ai utilizes a variety of foundational large language models (LLMs), both commercial and open-source, to deliver cutting-edge AI capabilities. These models may be fine-tuned on our proprietary datasets to optimize performance for network-specific tasks. Detailed information about the models and configurations will be provided to customers before deployment.
-
Retrieval-Augmented Generation (RAG) and other LLM augmentation techniques: Nanites.ai employs a variety of LLM augmentation techniques to enhance their performance, including RAG, GAG, prompt engineering, and others. Depending on the deployment scenario, the system may use vector stores, knowledge graphs, or other retrieval systems (e.g., NoSQL stores) to access relevant contextual information in real-time. This ensures that responses are accurate, contextually relevant, and aligned with customer-specific environments. The choice of LLM augmentation technique will be tailored to the use case requirements.
-
Strict Guardrails: The system is designed with strict operational guardrails in place to ensure safe and reliable performance. By default, Nanites.ai operates with read-only access to customer environments, adding an extra layer of safety.
-
Customer Data Security: Nanites.ai does not train on customer data. All data remains securely within the customer’s environment, and we prioritize the highest levels of security and data protection.
-
Subject to Change: Features, capabilities, and metrics (e.g., MTTR reduction, productivity gains) are based on internal testing and may vary in real-world applications.
nanites.ai
Troubleshoot. Manage. Automate.
Follow
System capabilities
Responds to alerts within seconds, determines the necessary troubleshooting steps, and executes them within minutes or even seconds, depending on the size of the network.
Quickly identifies novel and recurring issues in networks of any size by responding to human-triggered natural language inquiries.
Nanites AI Network Copilot enables effortless natural language management and analysis, allowing users to quickly monitor, configure, and gain deeper insights into their networks without needing to be network engineers or use specialized tools.
Nanites AI PCAP Copilot enables effortless natural language conversational analysis with PCAPs, allowing users to quickly explore, understand, and gain deeper insights into their network data. Click here to test drive our PCAP copilot: https://pcapcopilot.nanites.ai/
Effortlessly set up and manage your devices using natural language, eliminating the need for CLI and other complex tools.