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AI-Native Edge Infrastructure

AI Infrastructure for the Distributed World.

Veea unifies networking, security, edge compute, and AI orchestration into a single operating fabric built for real-world execution.

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VeeaONE Powered by TerraFabric

Announcing TerraFabric

TerraFabric is the governance and orchestration layer for distributed edge systems. It coordinates networking, security, compute, and AI workloads across fleets, regions, and sites with policy-driven control and operational visibility.

  • Fleet-aware orchestration from region to site to device.
  • Policy enforcement across L2 to L7 with embedded Zero Trust.
  • Controlled rollouts with rollback, audit trail, and change history.
  • Operates standalone or integrated with VeeaONE infrastructure.
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MWC 2026 Wrap-Up

The analysts are describing the architecture. Veea already has it live in market.

The industry conversation at MWC 2026 made one thing clear. The edge is becoming real operational AI infrastructure. At MWC 2026, industry thought leaders discussed the shift toward hyperconverged edge systems and "mini AI factories" operating where data is created. That architecture closely mirrors what the VeeaONE platform is already delivering in market today.

Independent Analysis
Featured Analysis
Independent Analysis
Featured Analysis

The market is starting to describe what Veea already built.

Industry thought leaders Dave Vellante and John Furrier discuss the shift toward hyperconverged edge infrastructure and distributed AI nodes following Mobile World Congress 2026.

At MWC 2026, industry thought leaders Dave Vellante and John Furrier described the rise of hyperconverged edge infrastructure and "mini AI factories" operating close to where data is created. What stood out to us was how closely that thesis maps to the VeeaONE platform and the broader Veea architecture already in market.

theCUBE at MWC 2026 hyperconverged edge infrastructure Mini AI factories

The edge architecture is taking shape

The conversations at MWC 2026 made one thing clear. The industry is beginning to converge on a new model for AI infrastructure. hyperconverged edge systems, distributed AI nodes, and unified control planes operating where data is created.

The architecture described by analysts closely mirrors the VeeaONE platform already operating in real deployments today.

Read the full MWC wrap-up
Already live in market
Telcel logo
Telcel launches SecureConnect powered by the VeeaONE platform

América Móvil / Telcel launched SecureConnect in Mexico, delivering managed connectivity, cybersecurity, and edge compute for SMBs using the VeeaONE platform. It is a live operator service built on the same hyperconverged edge architecture described by analysts at MWC.

View Telcel service page
MWC hardware board showing VeeaHub coordinating AI accelerators, IoT devices, and edge infrastructure under the VeeaONE platform and TerraFabric orchestration.
Live MWC architecture board
hyperconverged edge architecture in practice

Hardware demonstrated during MWC showing VeeaHub coordinating AI accelerators, IoT devices, and third-party edge infrastructure under the VeeaONE platform and TerraFabric orchestration.

Third-party hardware enrolled as first-class citizens in the VeeaONE platform.
Veea Solutions

Built for the AI-Native Edge

Secure connectivity, distributed compute, and governed AI execution delivered as a unified edge architecture.

SecureConnect

Zero-trust networking and policy enforcement that secures users, devices, and sites across distributed operations.

AirLynx

Wireless edge connectivity that extends resilient, high-performance networking where wired infrastructure falls short.

MetaLynx

Software-defined overlay infrastructure for secure site-to-site communication, segmentation, and controlled traffic flows.

VeeaONE Platform

A unified operating model that brings orchestration, application lifecycle, and fleet-wide visibility into one control plane.

VeeaHub Edge Compute

On-site compute that converges networking, security, and AI-ready workloads for real-time local intelligence.

TerraFabric Orchestration

Governed autonomous operations with topology-aware rollout, rollback, and policy control across mixed edge infrastructure.

"The next generation converged infrastructure, that among other things enables AI at the edge, will not be centralized. It will be distributed, autonomous with intelligence, and policy-governed. At Veea, we are building the edge fabric that enables AI to operate securely and economically on multi-vendor heterogenous networks for every use case in the real world."

Allen Salmasi
Founder and CEO
CableLabs Tridium Celona Microclimates iFREE Savant Connect5G Energous Sway AI mimik Katai One Amazon AECOM MIT Media Lab Vapor IO Mysten Labs Fuzion Cakrawala Teknologi OneSight Solutions TecnoBuildings Crowdkeep OptiHarvest Backpack Networks Trilogy Networks Americrew Retransform Kode Labs Global HITSS BG Titan Group SYSCOM Lynxspring Wi-Fi Alliance LoRa Alliance Wireless Broadband Alliance Linux Foundation
Engagement Paths

Engage Veea at Your Pace

From initial evaluation to full-scale deployment, choose the engagement model that aligns with your operational scope and governance requirements.

  • Direct access to TerraFabric capabilities.
  • Architecture session with Veea engineers.
  • Multi-site readiness assessment.
  • Structured product feedback loop.
Request Access
  • Deploy VeeaONE with SecureConnect policy controls.
  • Integrate selected sites, workloads, and edge nodes.
  • Define measurable performance and governance KPIs.
  • Executive review with scale recommendation.
Discuss Pilot
  • Roll out workloads with staged promotion and rollback.
  • Apply L2 to L7 policy at fleet, region, and site scope.
  • Unify observability across mixed infrastructure.
  • Align security, operations, and compliance teams.
Plan Rollout
  • Joint solution design for vertical-specific offerings.
  • Commercial and licensing path alignment.
  • Co-selling and go-to-market planning support.
  • Technical enablement for delivery teams.
Become a Partner
  • Reference architectures for edge AI applications.
  • API, orchestration, and policy model guidance.
  • Developer onboarding and implementation support.
  • Best practices for secure autonomous workflows.
Explore Developer Resources
  • Map business objectives to deployable architecture.
  • Review risk, governance, and security boundaries.
  • Prioritize high-impact use cases by rollout phase.
  • Define an adoption roadmap with clear milestones.
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Signal, Not Noise

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