Pre-built and customizable Digital SRE, NetOps and Observability agents that run where the data lives across Fabrix.ai and third-party data lakes and ITOM tools. Chat assistant, agentic workflows, full lifecycle and run-level observability with guardrails and smart context
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Agentless visibility, fault, performance & correlation across Telco/SP & Enterprise networks (Transport, Mobility, IP/Core, DC, Campus, SD-WAN …) with rich topology, paths, NetFlow and device-level detail. Ingest to 3rd party Data Lakes.
Bring your own data and tools from any IT ops environment (on-prem, edge, hybrid, cloud) with 1700+ prebuilt bots, solution packs and extensible, low-code Gartner-featured pipelines for distributed/edge analytics on high-volume streaming, bulk and batch machine data.
Learn MoreFull-stack visibility via open standards or your ITOM stack—then pair with autonomous agents to cut noise and MTTR
Cross-domain correlation, noise reduction, RCA, forecasting, and safe remediation—human-in-the-loop when you want it
Real-time inventory, utilization, dependencies, and lifecycle health to stay compliant, secure, and cost-efficient
Activate outcomes across Splunk Core, Cloud, and ITSI—faster onboarding, cleaner data, richer insights, decisive action
Unify VAPT, SOC, and GRC with agentic speed—and governance you can trust. Shrink dwell time, prove control health, and automate safely
One dashboard for AI across the business—teams, apps, and providers. See usage, spend, and outcomes at a glance, then drill into the details.
See where every dollar and token goes. Slice by model, team, user, persona, or agent—then drill into any run
Trace any run end-to-end—inputs, tools, models, outputs
Make AI decisions transparent, auditable, and safe. Every run includes a clear decision trace with rationale, evidence, and policy checks
Pick the best model with proof. Run side-by-side “model shootouts” on your use cases and rank quality, cost, and tool-use—so choices are data-driven
We are thrilled to avail the benefits and leverage critical relationships through the NVIDIA Inception Program
Athletic Apparel & Footwear Brand
How a Top Athletic Apparel & Footwear Brand Leveraged Network Asset Intelligence
Healthcare Provider
Leading Healthcare Provider accelerates Datacenter Consolidation with Digtal Asset Intelligence Solution
Telco Service Assurance
Customer is one of the largest Telecom service providers in the United States, with 100B+ revenue.
Incident Resolution
Large Retail Company in the US gains major time savings with Automated Incident Resolution
Alert Noise Reduction & Predictive Insights
Optimize IT Operations: Alert Suppression, Alert Deduplication and Forecasting
"Fabrix.ai (Formerly CloudFabrix) has demonstrated outperforming leadership in our 2023 Gigaom Radar report. Their Observability Data Modernization Service is a significant development for the OpenTelemetry (OTel) ecosystem. Any Observability provider can now consume non-OTel data using this service to deploy in hybrid environments that are not OTel compliant and still deliver all the OTel benefits. This enables a path for end users and OTel providers for phased OTel adoption. We will be watching this development as it matures," said Ron Williams, Principal Analyst at Gigaom.
With large advanced clients across sectors and growing partnerships with leaders like Cisco and IBM, the company is primed to build on its early traction. As enterprises look to harness AI for managing next-generation multi-cloud architectures, Fabrix.ai (Formerly CloudFabrix) brings differentiated capabilities that promise to shape the future of AIOps.
Data-centric AI is the new frontier in AI, where the models themselves now remain stationary while tools, techniques and engineering practices improve data quality. "Data-centric AI is the discipline of systematically engineering data to build an AI system."
Inspired to help enterprises ease their adoption of a data-first, AI-first and automate-everywhere strategy, Cloudfabrix today announced the availability of its new AIOps operating model...
Enter an emerging approach, robotic data automation (RDA), which promises to establish the intelligent data supply chain needed for well-functioning AI...
Artificial intelligence for IT operations, or AIOps, could help IT run in a more unattended fashion. But the necessary data may not be ready to sustain it...
AIOps needs data to function, but challenges along the AIOps data pipeline mean that AIOps doesn’t often produce the right results...
1. The Data Economy 2. No-Code/Low-Code Platforms For Citizen Developers 3. Cybersecurity And The Rise Of 5G, IoT And Edge AI 4. Rise of Observability, AIOps And Hyperautomation 5. Data Fabric 6. Conversational AI & Explainable AI...
Data Value Gap - Data Observability and Data Fabric - Missing piece of AI / AIOps. Embark on your Autonomous Enterprise Journey. Unifying Observability, AIOps, Hyper Automation with RDAF. Evolution of AIOps - Log Intelligence and more...
Shailesh Manjrekar is a business strategist, responsible for AI strategy and strategic alliances, for key vertical markets such as Artificial Intelligence (AI) and Machine Learning (ML), genomics, finance & high-performance computing
CloudFabrix featured in Forrester Q2'2022 NowTech report for its wholly owned, single codebase and unified UI functionality and customer wins across Financial, Healthcare and MSP's/Telcom verticals
More and more people are talking about business outcomes, but that can’t be fully realized until we have more pervasive digital experience capabilities. The vendor support for collecting and generating this type of sensory data has not yet arrived in AIOps tools, according to the data collected.
