365 Data Centers Leverages Collective[i] to See Double-Digit Revenue Growth Within Six Months

365 Data Centers Leverages Collective[i] to See Double-Digit Revenue Growth Within Six Months

 NORWALK, Conn. — April 28, 2026 — 365 Data Centers (“365”), a leading provider of high-density colocation, connectivity, and AI-enabled cloud services, has entered into a multi-year agreement with Collective[i] to transform its commercial go-to-market operation. Since deployment, 365 has seen win rates increase by more than 15% and sales cycle length decrease by 35%, fueling several consecutive quarters of above-plan performance including record bookings in Q4 2025 and continued outperformance in Q1 2026.

At the center of these results is a fundamental shift in how 365’s revenue organization operates. Collective[i] is a time series neural network model trained on how the world does business, continuously studying selling patterns, buying behavior, and macroeconomic signals to produce intelligence that static SaaS tools and generalist LLMs cannot replicate. For 365, this meant replacing a fragmented stack of task-driven workflows with a single, dynamic intelligence layer embedded directly into the systems and moments where revenue is won or lost.

“This integration reflects our broader commitment to data driven inspection and AI enablement as solutions and enablers of operational excellence,” said Derek Gillespie, CEO & CRO at 365 Data Centers. “In an industry where speed, precision, and collaboration define success, utilizing Collective[i] as a strategic partner has strengthened our capacity to improve predictability to meet and exceed our targets for long-term growth.”

The Revenue Operations and Sales teams at 365 worked in concert to embed Collective[i]’s applications and agents across their go-to-market motion, replacing manual processes with ambient automation, surfacing buyer-specific risks in real time, centralizing deal collaboration, and aligning human skill to the moments that determine outcomes. Within the first quarter of deployment, productivity increased by 20% and the contact database grew by 34% through automatic activity capture, not as a reporting function, but as a continuous structural improvement to the organization’s institutional memory.

“365 Data Centers is part of a cohort of companies defining what enterprise performance looks like in the next era,” said Heidi Messer, Co-Founder of Collective[i]. “Collective[i] is trained on how the world does business, patterns of selling, buying, and market dynamics that accumulate over time and compound in ways no prompt or dashboard can replicate. 365’s success comes from its leadership and the team’s recognition that AI adoption must be structural, not superficial. When AI is embedded in every workflow, every deal, every decision, the returns go from incremental to transformative. The companies unwilling to make that leap will cede ground to leaders like 365 who are already running at a different speed.”

These results stand in sharp contrast to prevailing enterprise trends. According to Salesforce benchmarks, average B2B win rates have declined to approximately 21%, with sales cycles lengthening and quota attainment falling below 50% for many organizations. MIT NANDA Initiative research indicates that approximately 95% of AI pilots fail to deliver measurable P&L impact, not because the technology is insufficient, but because it was added on top of broken processes rather than woven into the operational fabric.

Collective[i] was built on a different premise: that intelligence must be dynamic, contextual, and structurally tied to outcomes. Its model converts the continuous stream of activity across a company’s existing systems of record into intelligence that compounds over time, ambient, automatic, and directly linked to revenue growth. There is no new system to learn, no prompt to write, no report to pull. The intelligence is simply present, operating beneath every decision a revenue team makes.

For more information about 365 Data Centers and Collective[i]’s services, please visit https://365datacenters.com and https://collectivei.com/.

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About 365 Data Centers

365 Data Centers delivers a modern, AI-enabled intelligent infrastructure platform for mid‑market and enterprise organizations. The company’s tailored services bring together high‑density data centers, private and dedicated cloud platforms, advanced connectivity, and AI capabilities. By converging colocation, connectivity, and cloud with an intelligence layer, 365 helps organizations deploy, scale, and optimize AI and digital workloads with confidence. Dedicated private AI services, managed services, consulting, and vertical AI solutions deliver cutting‑edge technology, data sovereignty, and cost optimization tailored to enterprise needs. With a single provider, one MSA, and unified support, customers gain a fully integrated infrastructure stack that ensures efficiency, control, and scalability.

About Collective[i]

Collective[i] is a time series neural network model designed to study how the world does business. The company offers applications and agents that surface human connections, increase productivity, and produce timely intelligence that fuels enterprise growth. By embedding intelligence directly into existing systems of record and work, Collective[i] automates data capture, delivers real-time foresight, and drives measurable improvements in sales productivity and revenue performance.

Media Contact for 365 Data Centers

Amanda Lamadrid

iMiller Public Relations

Tel: 1.914.315.6424

Email: [email protected]

Media Contact for Collective[i]

Email: [email protected]

The Edge Network Effect: Building AI Infrastructure That Spans Markets, Not Just Facilities

The Edge Network Effect: Building AI Infrastructure That Spans Markets, Not Just Facilities

By James Ashton, Vice President of Network Operations

Artificial intelligence is reshaping data center demand, pushing beyond traditional centralized facilities toward distributed, high capacity, highly interconnected, edge networks. What we’re seeing is an “edge network effect” – where interconnected infrastructure across multiple markets multiplies performance, reduces latency, and scales AI workloads efficiently. At 365 Data Centers, our nationwide footprint enables these demanding workloads, turning isolated sites into a cohesive AI backbone. 

Why Edge Matters for AI

AI applications, from real-time inference to generative models, require ultra-low latency and massive bandwidth that single facilities struggle to deliver alone. Processing data closer to the user via edge computing cuts delays, which is vital for autonomous systems, smart cities, and enterprise analytics. McKinsey notes that telcos’ edge assets will drive this shift toward enabling the AI era. Centralized clouds struggle; edge networks distribute compute where data is accessed, slashing transport costs and boosting responsiveness.

Our experience mirrors this. In partnerships like DE-CIX Chicago deployment, we enabled peering that extends connectivity across Midwest markets. Supporting the interconnection ecosystem brings us these benefits throughout the world.

The Power of Interconnected Markets

365 Data Centers operates 16 facilities in major and emerging U.S. markets, with 70-plus points of presence (PoPs), creating a low-latency fabric with high levels of interconnection that is ideal for AI. Our new AI-enabled platform integrates colocation, cloud, and networking with an intelligence layer for small-language models and business intelligence, optimized at the edge.

This spans markets; you can deploy in Chicago for Midwest AI workloads, sync with New York or Dallas via redundant fiber, and achieve 99.999% network uptime SLAs. Dark fiber and 86-plus carrier-neutral providers support hybrid AI, with Deloitte forecasting edge AI at $270 billion by 2032.

Lessons from 5G and Beyond

Drawing from 5G preparations, where we scaled edge for IoT and low-latency apps, AI demands similar evolution. Then, we modernized cabling, SDN, and security; today, it’s AI-specific: governed private clouds, redundant power (100% uptime SLA), and carrier-neutral ecosystems with 86-plus providers.

In a 2025 HostingAdvice.com interview, I noted network automation’s role in AI infrastructure, echoing how automation streamlines edge orchestration across facilities. This “edge network effect” emerges: More interconnected sites yield exponential value, like cheaper peering and resilient disaster recovery.

The Future of AI at the Edge

Organizations should prioritize multi-market providers with integrated AI-ready platforms. At 365, one contract covers colocation, connectivity, and dedicated sovereign AI – all with 24/7 support. Spanning markets equips enterprises for AI, as data centers triple to 200-plus GW globally by 2030, according to McKinsey.

The edge network effect isn’t hype; it’s infrastructure reality. By spanning markets, not just facilities, we’re equipping enterprises for AI’s demands. Connect with us at https://365datacenters.com/contact/ to architect yours.