# 6fusion

6fusion is an Asset Manager based in Raleigh, United States.

## Overview

- **Organization type:** Asset Manager
- **Headquarters:** Raleigh, United States
- **Region:** North America
- **Address:** Raleigh, NC, United States
- **Assets under management:** Undisclosed
- **Website:** www.6fusion.com

## Regulatory record

- **Reports private funds:** No

## About

6fusion operates out of Raleigh, North Carolina, advancing a proprietary methodology known as the Workload Allocation Cube (WAC). The core thesis is that hybrid IT consumption should be metered, normalized, and compared across environments using a single economic unit of measure, an approach the firm has pursued for over a decade. The company's technology ingests granular utilization data from physical, virtual, and cloud infrastructure, translating it into a standardized consumption metric intended to enable multi-vendor billing reconciliation and capacity planning. The firm's platform is designed to serve managed service providers, enterprise IT departments, and cloud brokers. By applying the WAC algorithm, 6fusion produces a vendor-agnostic consumption score that can frame infrastructure as a true variable cost. Publicly documented use cases include chargeback modeling, cloud migration cost analysis, and real-time hybrid environment optimization. The technology integrates with major hypervisors and public cloud APIs, including VMware and Amazon Web Services, to capture the uniform compute, memory, storage, and I/O profiles required by its analytics engine. 6fusion has historically targeted the North American enterprise market from its Raleigh headquarters. The company's team size and client count are not publicly detailed, though it has maintained a boutique, engineering-heavy profile. Marketing materials reference partnerships with cloud service providers and resellers, and the firm has previously operated a self-service analytics portal allowing IT buyers to benchmark their normalized consumption against cloud pricing. The firm's development roadmap has emphasized multi-cloud normalization as hybrid-adoption complexity widened the industry's cost-management gap. Structurally, 6fusion functions as a licensing and analytics company rather than a financial intermediary or advisory practice. It does not manage assets, execute brokerage, or hold client capital. Its differentiator lies in the attempted standardization of an economic primitive—comparable to a kilowatt-hour—for IT workload consumption, a concept that predates and conceptually underpins the modern FinOps movement.

## Questions

### What is the Workload Allocation Cube (WAC) and how does it apply to hybrid cloud cost management?

The Workload Allocation Cube is 6fusion's proprietary methodology for normalizing IT infrastructure consumption into a single, vendor-neutral metric. It aggregates CPU, memory, storage, and I/O utilization from physical, virtual, and cloud environments, then applies an algorithm to produce a standardized consumption unit. This allows organizations to compare the true cost of workloads across on-premises data centers and public clouds like AWS or Azure, enabling accurate chargeback and migration planning without being skewed by varying vendor pricing models.

### Does 6fusion operate as a managed service provider or a pure technology licensor?

6fusion operates primarily as a technology company that licenses its metering and analytics platform. It provides the software and the consumption-normalization methodology, but it does not manage client infrastructure or function as a reseller of third-party cloud services. Its go-to-market strategy relies on channel partners, including cloud service providers and systems integrators, who embed the WAC-based analytics into their own service offerings for enterprise clients.

### What data sources does 6fusion's platform require to perform its analysis?

The platform ingests granular, agentless performance and configuration data from hypervisors (such as VMware vCenter), operating systems, and public cloud APIs. It collects metrics including allocated and consumed CPU cycles, memory consumption, storage IOPS and capacity, and network throughput. This data is then processed by the WAC algorithm to derive a normalized consumption profile for each workload, without installing agents on individual virtual machines.

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Last updated: 2026-06-03T20:00:00.000Z

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