Dapple closed a $30 million Seed round to scale its Enterprise OS Cloud, a dedicated single tenant AI infrastructure platform tailored for regulated enterprises and sovereign needs. Backed by The Raptor Group and Ion Pacific, the funding supports rapid global deployments following early $100M+ contracts with production customers.
Dapple, a New York-based provider of the “Enterprise OS Cloud,” closed a $30 million Seed funding round. The round was led/backed by The Raptor Group (a private investment firm tied to Jim Pallotta’s family office) and Ion Pacific (early stage venture firm focused on structured investments and technology). No other investors were prominently disclosed in announcements.
What is Dapple?
Dapple positions itself as the creator of a new category, the Enterprise OS Cloud, that sits between traditional public hyperscale clouds (shared, elastic) and fully private on-premises data centers (slow and capital intensive). It delivers dedicated, single tenant, in-country AI infrastructure optimized for regulated enterprises, governments, sovereign entities, and hypergrowth AI native companies that cannot tolerate shared tenancy due to data residency, compliance, security, governance, or performance requirements.
Key differentiators include:
- Single tenant architecture by design (not multi tenant with add-on controls).
- In-country physical deployment for sovereignty and regulatory needs.
- Managed OS layer that abstracts fragmented GPU supply into a governed, predictable platform with enterprise SLAs, auditability, and operational reliability.
- Focus on production AI workloads (not just experimentation), addressing unmet demand for hundreds or thousands of accelerators where hyperscalers prioritize frontier labs.
The company was founded by Tricia Martinez (CEO) and Salam Al-Mosawi (COO). Martinez brings experience founding/scaling a digital bank in Africa, White House Fellowship at the U.S. Department of Energy (AI/energy/national infrastructure), and leading Techstars accelerators with partners like JPMorgan, NVIDIA, and DOE. Al-Mosawi has scaled AI/cloud compute ventures (e.g., Chief Commercial Officer at FlexAI, SVP at Nscale), with teams that sold tens of thousands of GPUs globally. Their combined teams have deployed over 300,000 accelerators.
Dapple launched operations roughly five months before the funding announcement (around January 2026) and already has two live customers with $100M+ in contracted deployments across two continents, running production AI workloads.
This is Dapple’s first major disclosed round, notable for its size at the Seed stage in a capital intensive infrastructure business. It reflects strong investor conviction in the traction (pre funding revenue visibility via contracts) and the AI infra market’s heat.
Proceeds will accelerate global deployments, expand the platform, and scale the new category. This includes physical infrastructure rollout, partnerships (with hyperscalers, OEMs), sales/operations, and ecosystem building to meet surging demand.
AI compute demand far outstrips supply, especially for non frontier enterprises. Hyperscalers face allocation constraints, raw GPU rentals lack governance/SLAs, and building private data centers is too slow/expensive. Dapple targets “the world’s most important AI workloads” in pharma, finance, government, and similar sectors needing isolation, residency, and reliability.
The $100M+ contracts in months validate pent-up demand. Sovereign AI initiatives, regulatory pressures (e.g., data localization), and enterprise wariness of shared clouds amplify the opportunity. Dapple aggregates global GPU supply into compliant environments, acting as a layer above hardware while delivering managed operations.
Dapple differentiates from hyperscalers (shared/multi tenant limitations), bare metal/neocloud providers (lacking enterprise features), and traditional colocation (no managed OS). It claims to be “live today” with production loads, giving it an edge over pure plays still in planning.
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Potential challenges include:
- High capital intensity for global expansion (further rounds likely needed to fulfill contracts).
- Competition from hyperscalers accelerating sovereign/single tenant offerings.
- Execution risks in data center build-out, supply chain for GPUs, and maintaining SLAs across regions.
- Geopolitical and regulatory hurdles in cross border deployments.
The round, backed by sophisticated investors like Raptor (category creators) and Ion Pacific (global tech), underscores confidence in Dapple’s operator led approach and early validation. Jim Pallotta highlighted the rarity of proving the category with major contracts pre raise. The timing aligns with broader AI infrastructure frenzy, where infrastructure layers capturing enterprise/government spend command premiums.
Dapple’s model emphasizes long term operations over short term rentals, standardized architecture for scalability, and structural compliance, positioning it for multi year contracts and sticky enterprise relationships. With live deployments and ambitious global plans, the $30M provides runway to convert pipeline into broader scale while solidifying the Enterprise OS Cloud as a recognized category.
This funding marks a strong early validation for a focused player in the AI infrastructure boom, betting on dedicated capacity as a must have for high stakes workloads.
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