Sold by: Rebaca Technologies Inc
Deployed on AWS
ABot AI is next generation network operations and troubleshooting platform Powered by AI and deep domain knowledge especially 3GPP ABot AI transforms raw network data into actionable insights reducing downtime streamlining maintenance and radically speeding up problem resolution
Overview
Built on advanced analytics, Generative AI and 3GPP aligned knowledge models, ABot AI ingests multi source network data PCAPs logs KPIs and configuration artifacts and converts them into actionable insights. It not only identifies issues but reasons through them guiding engineers step by step toward resolution. At its core ABot AI leverages an Agentic ReAct framework to iteratively analyze problems validate hypotheses and execute troubleshooting workflows. This enables AI assisted interactive debugging where users can query the system conversationally explore root causes and refine diagnostics in real time. The result is a shift from reactive troubleshooting to autonomous intelligent and explainable network operations reducing MTTR improving reliability and enhancing operational efficiency.
Highlights
- Autonomous Analysis: Processes network artifacts to extract failures and detect anomalies using domain aware deterministic models.
- Rapid Incident Resolution: Identify root causes and resolve issues faster with guided diagnostics Interactive Debugging & RCA: Engineers collaborate with AI to investigate and validate issues step-by-step Multi-Vendor Troubleshooting: Normalize and analyze data across complex ecosystems Regression & Release Validation: Detect performance issues post-deployment or upgrades Operational Efficiency: Reduce manual effort with automated analysis, reporting, and recommendations
- Unified Data Ingestion: Analyze PCAPs, logs, KPIs across tools Root Cause Intelligence: Correlate cross-layer events to pinpoint failure causes Built-in Telecom Knowledge and Conversational Debugging: Interactively query insights and do deep dive analysis Agentic (ReAct) Troubleshooting: Iterative reasoning with action loops for step-by-step diagnosis and resolution Seamless Integration: Fits into CI/CD, OSS/BSS, monitoring, and automation pipelines
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
ABotAI uses a single usage-based pricing dimension billed by the hour on a c5n.9xlarge instance. You pay only for the hours you run the software on that instance type. There are no tiers or separate plans to choose between. Your cost scales directly with how many hours you keep the instance running. This fits the AI-driven root cause analysis workload, which you can run across lab, pre-production, and production telecom environments as needed.
Top-of-mind questions for buyers
You run ABotAI on a single c5n.9xlarge instance, a compute-optimized instance type with high network bandwidth. Billing counts each hour that instance runs. One running instance equals one billable unit per hour. The high-bandwidth spec suits packet capture and log correlation for telecom root cause analysis.
Software charges accrue only while the c5n.9xlarge instance runs. Stopping the instance halts the hourly software meter. Stopped or hibernated instances may still incur underlying AWS storage fees, but the ABotAI software bills running time only. Your cost scales directly with active hours.
Yes. The hourly rate stays the same regardless of where you apply it. You can run ABotAI for lab, pre-production, and production telecom root cause analysis. Cost depends only on instance-hours, not on which environment or scenario type you analyze.
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Based on Mutual Discussion
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Release-3.19
Additional details
Usage instructions
- SSH into the instance
- Run the following command: sudo ./install-abot-ai.sh
- Run the following command and capture mac address: ip addr show <device name>
- Send the mac address via email to us to receive a valid license
Resources
Support
Vendor support
For support inquiries related to ABotAI, please contact our customer care team at customercare@rebaca.com . Our team can assist with platform usage questions, troubleshooting, and general product inquiries.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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