Acceliot Inc., a company that creates technology for asset tracking and management, this week launched its Smart Space Portal, or SSP, architecture.
The SSP is a software-defined radio frequency identification (RFID) platform that delivers automated scan precision for pallet and item movement at warehouse dock doors. By combining supervised machine learning with existing RFID infrastructure, Acceliot said its system enables logistics operators to use automation and gain real-time visibility without new hardware or installation complexities.
“Our SSP approach marks a shift from hardware-bound portals to intelligent, software-defined infrastructure,” stated Shawn Manesh, CEO of Acceliot. “By transforming existing dock doors into AI-powered automation points, organizations can modernize their supply chains and achieve true, end-to-end visibility.”
Founded in 2019, Acceliot said it develops RFID and AI-powered automation systems that bridge the physical and digital worlds. The Huntington Beach, Calif.-based company’s integrated technology stack spans software-defined RFID platforms, real-time location systems (RTLS), edge intelligence, analytics, and hardware. It works with companies across logistics, manufacturing, and supply chain environments.
SSP simplifies operations, provides accuracy with AI
Acceliot listed key features and differentiators of its platform:
- Barrier-free, open field infrastructure: Acceliot asserted that SSP can transform dock doors into intelligent control points using software. This removes the need for rigid tunnels, RF shielding, or specialized antennas, it said. The system uses machine learning to accurately identify valid RFID reads in open dock settings, providing flexibility and high precision without disrupting warehouse workflows.
- Full-stack automation readiness: SSP delivers verified, error-free pallet- and item-level RFID data directly to enterprise resource planning (ERP) and warehouse management system (WMS) software, said Acceliot. This enables automated receiving, shipping, and inventory reconciliation. The trusted data stream can support dynamic routing, exception-free billing, and predictive analytics, eliminating the need for manual data intervention, it claimed.
- AI-powered accuracy without complexity: Acceliot SSP employs RF-optimized, supervised machine learning to filter stray and duplicate RFID reads in real time, capturing only true movement events. Fully compatible with existing readers and antennas, the company said it transforms standard doors into intelligent gateways without the cost or disruption of new hardware installations.
- Vendor-neutral design: The platform integrates with any fixed RFID reader, including Zebra, Impinj, and Acceliot STARflex — as well as standard UHF antennas, said Acceliot. It can enhance existing RFID portals by minimizing read errors and generating cleaner, more reliable data, protecting enterprise infrastructure investments while significantly improving overall accuracy.
Acceliot moves from demonstrations to deployment
“The RFID infrastructure installed in warehouses worldwide holds far more intelligence than legacy systems have been able to extract,” said Paul Barriga, chief technology officer of Acceliot. “We are partnering with industry leaders to train our models in some of the busiest, tag-dense dock door environments to support the next generation of warehouse automation.”
Acceliot’s SSP platform is scheduled for general availability in Q1 2026. Through the remainder of the year, the company will conduct live demonstrations in some of the industry’s most dynamic warehouse dock door environments and integrations with leading ERP and WMS platforms.
“Acceliot’s smart space portal architecture has been successfully evaluated at our logistics center facilities in Cavaillon, France, and has consistently provided accurate and validated readings under real-world conditions, without requiring hardware tunnels or RF shielding,” said Adrien Vallet, CTO of Panoptès Group. “This is the first time we have seen a software solution outperform our traditional portal systems in real operational environments.”
