# Kloudfuse

> Kloudfuse is a Cupertino-based observability company that unifies metrics, logs, traces, real user monitoring, continuous profiling, and LLM monitoring into a single observability data lake that runs inside a customer's own cloud (VPC) rather than a vendor SaaS. Founded in 2022 by veterans of Springpath, Nicira, VMware, and Cisco, it pitches an OpenTelemetry-native, AI/ML-powered platform that gives enterprises data ownership and 60-80% cost savings versus incumbents like Datadog. It launched out of stealth in November 2023 with $23M in funding and is used by companies including GE HealthCare, Zscaler, Tata 1mg, and Automation Anywhere.

- **Founded:** 2022
- **Headquarters:** Cupertino, California, United States
- **Founders:** Krishna Yadappanavar (Co-Founder & CEO), Pankaj Thakkar (Co-Founder & CTO), Ashish Hanwadikar (Co-Founder & Chief Architect)
- **Team size:** ~22 employees
- **Products:** Unified Observability Data Lake, APM & Distributed Tracing, Log Management & Fingerprinting, Analytics, ML & AI (K-Lens), LLM & AI Observability
- **Notable:** Launched out of stealth in November 2023 with $23M in funding, including a $17M Series A., Received an Honorable Mention in the 2025 Gartner Magic Quadrant for Observability Platforms., Signed enterprise customers including GE HealthCare, Zscaler, Tata 1mg and Automation Anywhere.

## Products & services

- **Unified Observability Data Lake** — A single data lake that ingests and correlates metrics, logs, traces, events, real user monitoring, continuous profiling, and LLM monitoring, deployed inside the customer's own cloud (VPC).
- **APM & Distributed Tracing** — Application performance monitoring with granular MELT (metrics, events, logs, traces) correlation and trace analysis for root-cause troubleshooting.
- **Log Management & Fingerprinting** — High-scale log ingestion with log fingerprinting to compress and cluster repetitive log patterns for faster analysis and lower cost.
- **Analytics, ML & AI (K-Lens)** — AI/ML-powered anomaly detection, root-cause analysis, and proactive troubleshooting including multi-attribute heatmaps and high-cardinality data analysis.
- **LLM & AI Observability** — Prompt and output tracing, token-usage tracking across OpenAI, Anthropic, Google, AWS and Azure, and model-level error monitoring attached to distributed traces.
- **MCP Server** — A Model Context Protocol server that lets AI systems like Claude and ChatGPT query observability data in natural language, translated to Kloudfuse's FuseQL query language.

## Achievements

- Launched out of stealth in November 2023 with $23M in funding, including a $17M Series A.
- Received an Honorable Mention in the 2025 Gartner Magic Quadrant for Observability Platforms.
- Signed enterprise customers including GE HealthCare, Zscaler, Tata 1mg and Automation Anywhere.
- Shipped Kloudfuse 3.5 with LLM/AI observability and FIPS 140-2/3 validated cryptography for regulated and federal use.
- Claims 60-80% cost savings versus incumbent SaaS observability tools while processing millions of events per second.

## Latest updates

- **2025-12** — Launched Kloudfuse 3.5, unifying AI and traditional observability with an MCP server for natural-language queries, in-trace LLM monitoring, and FIPS 140-2/3 validated cryptography for federal and regulated enterprises.
- **2025-01** — Kloudfuse 3.0 released with AI-powered observability enhancements consolidating metrics, logs, traces, RUM and profiling in a single platform.
- **2025-01** — Recognized with an Honorable Mention in the 2025 Gartner Magic Quadrant for Observability Platforms.
- **2023-11** — Emerged from stealth with $23M in funding and debuted its unified observability data lake.

## Links

- Website: https://kloudfuse.com
- LinkedIn: https://www.linkedin.com/company/kloudfuse
- YouTube: https://www.youtube.com/watch?v=JQ3bl0yMnhk

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Profile page: https://yespress.io/kloudfuse
Published by YesPress — https://yespress.io
Last updated: 2026-07-11