Myriad360 Acquires Advizex, Forms $900M AI Platform
Global solutions integrator Myriad360 has acquired Advizex Technologies to create a combined $900 million global platform focused on AI and enterprise infrastructure. The deal forms a scaled entity spanning infrastructure, AI activation, managed services, and enterprise delivery. The acquisition is aimed at creating a growth-led platform in the cybersecurity and modern infrastructure markets.
- Myriad360, founded in 2003 by Andrew Fisher, is a New York-based global systems integrator focused on cybersecurity, cloud, AI, and data center modernization. Prior to this deal, Myriad360 had not made any acquisitions. The company's estimated annual revenue is $35.1 million. - Advizex, founded in 1975, is an IT solutions provider based in Independence, Ohio, with a focus on cloud computing, networking, and access management. The company, led by CEO C.R. Howdyshell, generates $100 million in revenue and has 300 employees. - The acquisition strategically combines Myriad360's expertise in infrastructure integration, networking, and AI-ready environments with Advizex's strong enterprise client relationships and managed services. This move is designed to leverage Myriad360's technical skills with Advizex's established market presence. - A key driver for the acquisition is the growing demand for scalable and reliable data management in the AI and enterprise markets. Myriad360 recently collaborated with VAST Data, an AI data platform company, to enhance its storage solutions portfolio. - For sales operations in the hardware sector, a critical metric is sales velocity, which incorporates the number of opportunities, average deal size, win rate, and the length of the sales cycle. Given the typically long sales cycles for hardware (2-6 months), focusing on funnel forecasting methods is often more effective than in industries with shorter sales cycles. - In complex, multi-stakeholder hardware sales, CRM automation is crucial for tracking deal stages and managing tasks. Automating lead scoring and nurturing can help prioritize efforts and ensure consistent engagement throughout a long sales process. - For high-value, long-cycle deals, forecasting models that rely on more than just historical data are essential. Multivariate regression analysis and AI-driven models can incorporate a wider range of data points to improve accuracy. Time-series analysis can also be effective for businesses with predictable, cyclical sales patterns. - Key performance indicators (KPIs) for sales operations in the enterprise hardware space include pipeline coverage, forecast accuracy (with a benchmark of 90%+ considered world-class), win rate, and rep productivity. It's also important to track leading indicators such as the creation rate of new opportunities and the progression of deals through the sales funnel.
