Industry 4.0 solutions sheet · Maryland manufacturers
NVIDIA Inception Program memberMEIA Phase 2 companyNorth Bethesda, MD
Maryland Manufacturing 4.0 grant · Next window 2027

Put edge AI on your plant floor. Up to 75% funded.

Two NVIDIA Jetson edge devices for manufacturers adopting advanced technology: one maps and monitors the facility, the other manages its energy and on-site power. Both qualify as Industry 4.0 purchases under Maryland's M4.0 grant. You apply as the manufacturer; ThresholdStack is your named vendor and integrator.

75%
covered for 3–50 employees
50% for 51–250 employees
Awards $25K to $500K

Maryland's Manufacturing 4.0 grant reimburses robotics, AI, Industrial IoT, cybersecurity, advanced software, and system integration, which is exactly what the two products below are. Deploy them in your plant, name ThresholdStack as the solution provider, and the state covers most of the cost.

Product 01 · SparkOS

Robotic Payload

Platform-agnostic edge-AI sensing pod. Mounts on any quadruped, AMR, or drone you already own.

On your floor: autonomous facility scanning that builds a live digital twin of the plant: asset inventory, nameplate capture, and condition monitoring without stopping production.

Sensing + compute
  • LiDAR, thermal, RGB + 360°, IMU, and air-quality (CO₂ / VOC / PM2.5) sensing
  • NVIDIA Jetson edge compute running Isaac ROS SLAM and navigation
  • Metropolis + Nemotron vision AI: nameplate OCR, equipment ID, leak and thermal fault detection
  • Outputs an OpenUSD digital twin plus a verified floor-area and asset registry
RoboticsAI / visionIndustrial IoTDigital twin
Product 02 · BoltOS

Controller / Energy Router

OEM-agnostic edge controller for on-site power. No rewiring, no firmware changes.

On your floor: cuts the energy cost of production by dispatching solar, batteries, EV charging, and flexible HVAC in real time, and earns grid-program revenue.

Control + compute
  • Speaks Modbus/SunSpec, OCPP, IEEE 2030.5, and BACnet out of the box
  • NVIDIA Jetson edge compute running the PhysicsNeMo load model and Nemotron dispatch optimizer
  • Demand-charge management, energy arbitrage, and PJM / BGE VPP program revenue
  • On-prem and offline-capable with hard safety guardrails; cybersecurity built into the design
AutomationAdvanced softwareCybersecurityEnergy mgmt
Operations

Know every asset on the floor

Nameplate data captured by the payload, condition flags from thermal and leak detection, and a scan cadence that runs around production, so the line keeps moving.

Energy

Cut the power bill behind production

Demand charges managed and on-site solar, storage, EV charging, and HVAC dispatched against a load model of your plant, with PJM and BGE program revenue on top.

Facility infrastructure

A living record of the building

Verified floor area, equipment ages, and replacement timing in one digital twin of the facility, kept current after every scan.

Get the plant ready for robots

The scan that builds your twin also builds a training ground. We rebuild the floor in NVIDIA Isaac Sim, train robots there in parallel, and deploy them on the same map. Inspection routes, AMR paths, and cell layout changes get proven in the twin before anything rolls onto your floor.

In the twin: autonomous warehouse tour in Isaac Sim, 5 of 5 waypoints reached.
On the floor: the payload builds a semantic map and labels assets as it walks.
01 CaptureOne pass with the payload. No production stop.
02 ReconstructSplat for looks, mesh for physics. OpenUSD out.
03 TrainDozens of robots learn the floor at once in Isaac Lab.
04 DeployPolicy ships to the Jetson. Same map on the real floor.

See the full Real2Sim pipeline and the runs behind it →

How the money works

Worked example on a $200,000 deployment (payload + controller + integration + training). Your out-of-pocket is just the match.

Small manufacturer · 3–50 employees
Grant covers 75% · 25% match
M4.0 grant covers$150,000
Your match$50,000
Mid-sized manufacturer · 51–250 employees
Grant covers 50% · 50% match
M4.0 grant covers$100,000
Your match$100,000

Eligible costs include hardware, software & licenses, installation, system integration, consultant/design fees, and employee training. ThresholdStack delivers an itemized quote mapped to M4.0's budget categories. Award range $25,000–$500,000 per project.

Do you qualify?

  • Maryland manufacturer with a two-digit NAICS code of 31–33
  • 3–250 full-time employees
  • In good standing with the State of Maryland
  • Good standing with OSHA / MOSH safety regulations
  • A stated Industry 4.0 adoption strategy (we help you write it)

Why ThresholdStack

  • NVIDIA Inception member building the edge-AI stack in-house
  • 242 buildings in 11 markets already on our digital-twin platform
  • Already inside Maryland's programs: MEIA Phase 2 company with Maryland Energy Administration grant work underway
  • Maryland-based in North Bethesda: local install and support
  • We scope the project and draft the Industry 4.0 budget narrative so your M4.0 application is submission-ready
2026 applications closed Aug 31. The program runs annually; the next window is expected in 2027, and projects scoped now file first.
Let's meet to discuss
We'll walk your floor, size the deployment, and build the grant-ready quote. No cost to explore. And if you run a Maryland plant with an operations, energy, or facility-data problem, the conversation is worth having whatever the grant calendar says.
Samad Saifudin
Founder & CEO, ThresholdStack, LLC
samad@workflowcontrol.io · 301-710-2520
909 Rose Avenue, Suite 400, North Bethesda, MD 20852

About this sheet. ThresholdStack, LLC is the technology vendor and system integrator for the products described. The Maryland Manufacturing 4.0 grant is administered by the Maryland Department of Commerce; eligibility, cost-share tiers ($25K–$500K; 75% grant / 25% match for 3–50 FTE, 50% / 50% for 51–250 FTE), and award decisions are set by Commerce and are not guaranteed. The applicant must be an eligible Maryland manufacturer (NAICS 31–33). Confirm current program rules and application dates at commerce.maryland.gov before applying.