Dot Ai Secures $1.27M Hardware Orders, Adds Second Shift in Puerto Rico to Meet Growing Demand
Dot Ai reports $1.27M in new hardware orders, adding a second shift and equipment at Barceloneta, PR. Expect tighter lead times and steady delivery for asset tracking.
Dot Ai scales Puerto Rico production after $1.27M in new hardware orders
Sep 18, 2025 - Dot Ai (Nasdaq: DAIC) reported $1.27 million in new orders for its hardware platform and is increasing output at its Barceloneta, Puerto Rico facility by adding a second shift and new capital equipment.
For operations leaders, this signals tighter lead times, more reliable delivery windows, and a maturing supply line for IoT-enabled asset tracking at industrial scale.
What this means for operations
- Throughput: A second shift and added equipment increase daily capacity and reduce backlog risk.
- Focus products: The Barceloneta site is the central hub for the patent-pending Zero Infrastructure Mesh (ZiM) Bridge and industrial-grade smart asset tags.
- Stability: Multi-station production and a growing skilled workforce improve resilience and repeatability as orders grow.
- Roadmap: The company plans to scale production to additional regions over time to support U.S. and global deployments.
Product stack in plain terms
Dot Ai combines a mesh bridge (ZiM) with rugged tags, 5G RF/BLE connectivity, and API integrations. The goal: in-process visibility without heavy fixed infrastructure, so assets broadcast status and location as they move through your plant or network.
- Real-time location and condition updates inside facilities and across nodes
- Predictive signals (ETAs, dwell, cycle-time drift) to prevent delays before they start
- Exception alerts for loss, misuse, or out-of-process activity
- Integrations with WMS/MES/ERP to surface intelligence where teams already work
Where traction is building
Early demand spans logistics and manufacturing, where unplanned search time, cycle count gaps, and detention fees compress margins. The order mix suggests cross-industry fit for plants and distribution networks that need continuous asset visibility.
Practical next steps for ops leaders
- Start small, prove ROI: Pilot one value stream or lane. Baseline: search time, shrink, on-time pulls, cycle count accuracy, detention costs. Target measurable deltas in 60-90 days.
- Integration plan: Map events to your ERP/WMS/MES. Define item masters, tag-to-asset mapping, and alert thresholds. Confirm API rate limits and data retention.
- Site readiness: RF survey for BLE/5G coverage, interference, and dead zones. Validate network security, QoS, and power access for bridge placements.
- Change management: Update SOPs for receiving, kitting, line-side replenishment, and yard moves. Assign owners for tag maintenance and exception handling.
- Governance: Security review (device auth, encryption, data access), audit trails, and compliance requirements by site and region.
- Vendor risk: Confirm spares, SLAs, on-site/remote support, and multi-source options. Lock in lead times and service terms in contracts.
Fast facts
- $1.27M in new hardware orders
- Barceloneta, Puerto Rico facility adds a second shift and new equipment
- Central hub for ZiM Bridge and industrial smart tags
- Production strategy includes additional geographies over time
Why this matters
Asset intelligence moves from periodic scans to continuous signals. That shift turns blind spots-lost carts, buffer stock guessing, unplanned expedites-into trackable, preventable events. For operations, the result is steadier flow, cleaner schedules, and fewer surprises.
Risks and watchouts
- Adoption: Without clear SOPs and training, alerts get ignored. Keep thresholds tight and dashboards simple.
- Component supply: Validate buffer stock and alternate parts to protect rollout timelines.
- Data overload: Start with 3-5 KPIs. Automate alerts for exceptions, not every movement.
- Lock-in: Ask about data export, open standards, and migration support.
Learn more about the platform and deployment options at Dot Ai.
Skills and training for your team
If you're building internal capability for AI-enabled operations, these resources can help:
Note on forward-looking plans
Plans, deployments, and market adoption can change. For risk factors and assumptions, refer to the company's public filings with the SEC.
