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EVA Systems
Pods · Core · Grid
The solution

Turning any location into an autonomous micro‑fulfillment business.

EVA Systems, LLC is a simulation‑first, robot‑native platform that unifies Environment, Vehicle, and Automation into deployable micro‑fulfillment Pods.

E + V + A architecture USD digital twins Isaac Sim workflows Jetson‑powered robots

Virtual → Physical · Simulation → Deployment · Robots → Businesses

Architecture

EVA = Environment + Vehicle + Automation

EVA is a three‑pillar robotics platform that starts in simulation and ends in fully autonomous micro‑fulfillment businesses.

Pillar E: Pods (Environment Layer)

Virtual Pod (USD World)

  • Full digital twin micro‑environment.
  • Modeled in USD and simulated in Isaac Sim.
  • Workflow validation before deployment.

Physical Pod (Micro‑Fulfillment Business)

  • EVAMart, EVAPharm, EVAStore concepts.
  • Autonomous, hyper‑local retail units.
  • Robot‑native interior; fixed, mobile, or self‑mobile.

Pods = the environment where autonomy lives.

Pillar V: Core (Vehicle Layer)

Virtual Core (Digital Twin Autonomy)

  • URDF robot models.
  • Perception, planning, and control stacks.
  • GPU‑accelerated simulation loops.

Physical Core (Automated Robots)

  • Delivery robots, manipulators, and mobile bases.
  • Jetson‑powered autonomy.

Core = the robots that execute the work.

Pillar A: Grid (Automation Layer)

Virtual Grid (Isaac Sim ↔ Cloud)

  • Cloud‑connected simulation.
  • Continuous optimization.
  • Digital twin lifecycle.

Physical Grid (Autonomous Network)

  • Pods connected to cloud orchestration.
  • Real‑time monitoring and Metropolis‑aligned analytics.
  • Operator command + oversight.

Grid = the intelligence that connects everything.

From simulation to deployment

EVA is built to compress the path from virtual design to physical operations.

  • Design Pods, robots, and workflows as digital twins first.
  • Validate autonomy and operations in Isaac Sim.
  • Deploy Jetson‑powered robots into EVA Pods with EVA Grid orchestration.
  • Continuously optimize using real‑time data and cloud analytics.

Virtual → Physical. Simulation → Deployment. Robots → Businesses.

Infrastructure

EVA Pods as micro‑fulfillment infrastructure

EVA Pods are modular, simulation‑validated micro‑fulfillment units that can be dropped into residential neighborhoods, campuses, or commercial sites to create autonomous retail and logistics nodes.

What EVA Pods are

  • Autonomous retail units.
  • Hyper‑local micro‑fulfillment nodes.
  • Simulation‑validated before deployment.
  • Modular, repeatable, and robot‑native.
  • Deployable almost anywhere.

EVA Pods turn any location into a fully autonomous micro‑fulfillment business.

Experience

EVAMart micro‑fulfillment workflow

A tightly orchestrated flow from app to trunk, powered by digital twins, arm‑controller robots, and humanoid handoff.

Step 1
Customer places order on app

A mobile‑first experience where customers browse inventory, check live availability, and confirm pickup ETA.

Step 2
Drive to EVAMart Pod

Customer navigates to the nearest EVAMart micro‑fulfillment Pod and enters the drive‑through lane.

Step 3
Robots prepare the order

Arm‑controller robots pick and stage items; humanoid robots receive the tote and move to the vehicle.

Step 4
Handoff to the car

Humanoid robots place the order in the trunk or hand it through the window, completing the flow in under two minutes.

Step 5
Continuous optimization

EVA Grid captures telemetry, updates digital twins, and tunes workflows for throughput, safety, and customer experience.

Team

Dual‑technical leadership

EVA is led by founders who bridge architecture and execution, simulation and deployment, virtual and physical.

Thomas J. Fanara
CEO / CTO (Architecture & Vision)
  • Systems architect specializing in simulation‑first robotics.
  • Creator of the EVA Pods/Core/Grid architecture.
  • Expertise in USD digital twins, Isaac Sim workflows, and robot‑native environments.
  • Leads platform vision, autonomy strategy, and technical roadmap.
Yves Koulidiati
COO / CTO (Systems & Execution)
  • Robotics systems engineer with deep experience in deployment and operations.
  • Oversees physical Pods, robot integration, and field reliability.
  • Expert in Jetson‑powered autonomy.
  • URDF modeling and micro‑fulfillment workflows.