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Ohio startup Midmo AI is transforming track-and-trace solution adoptions by simplifying an otherwise complex set of hardware, software, and application integrations.
Behind the scenes, Midmo’s MotionView platform is already serving automatic identification and data capture (AIDC) for brands and solution providers by seamlessly integrating connectivity technology and software. Now the company is introducing itself at Manifest 2025, Las Vegas, February 10–12, with a premier startup booth, K51, near the Innovation Stage.
Midmo, launched by auto-ID industry expert and CEO David Zingery, redefines traceability by enabling data accuracy as a service, in the form of seamless visibility and tracking that is agnostic to the type of technology and hardware used. Its MotionView software, with advanced AI integrated at the edge, empowers businesses to achieve unparalleled visibility and control over their operations from a single source.
MotionView has already positioned itself as the industry’s behind-the-scenes, go-to solution for simplifying AIDC. It provides connectivity between hardware and market-available ERP solutions while enabling device management and real-time item visibility and traceability. The platform allows for easy, lightweight, low-code connectivity to a wide array of IoT devices, sensors, and technologies (including RFID, BLE, GPS, UWB, LoRaWan, etc.).
Poised to revolutionize connectivity and AIDC, Midmo has now opened its official seed funding round for investors to support research and development, strategy, and marketing.
Making the Complex Simple
Track-and-trace solutions have expanded across industries—from retail to manufacturing to healthcare—but growth has faced an unresolved challenge: the complexities of connecting diverse devices and technologies at scale.
Zingery brings 20 years of technology and supply chain management experience to Midmo with a single mission: to eliminate the politics and complexities that burden traceability solutions. The company has achieved this by developing a technology- and device-agnostic platform, providing integrated, AI-enabled devices and enterprise translation, edge-level item intelligence, “core” and “headless” solutions, and enhanced data management.
Companies are already employing and benefitting from MotionView to eliminate the need for specialized, high-cost, complex, or over-tooled software, delivering immediate value. Midmo follows a partner-led approach, partnering with solution and service providers and OEM device manufacturers to offer an extensible platform containing all the functionality needed for real-time traceability.
MotionView is a hybrid, cloud-enabled extensible platform that also supports on-premises deployment for maximum flexibility. What sets it apart is its:
MotionView boasts a lightweight tech stack and integrates via API and MQTT for external connectivity to core business systems including ERP, WMS, TMS, etc. The platform can act either as middleware or the main system of record, with enterprise system AI translation for item and asset management at all stages and scales.
David Zingery, CEO, Midmo AI
By our nature, we serve our partners from behind the scenes. In many cases, we are the white-labeled connective tissue enabling their solutions. Now it’s time to share our story with the traceability market. We want to become that industry-standard connectivity layer for AIDC initiatives. We want to check that box for everyone, ultimately keeping the connectivity, data integrity, and data accuracy as a service and enabling and accelerating innovation for our partners and end customers.
Ray Sharma is an Industry Analyst and Editor at The Fast Mode. He has over 15 years of experience in mobile broadband technologies and solutions, conducting research and analysis on various technology segments and producing articles and write-ups on the latest developments within the sector. He is also in charge of social media engagement and industry liaisons.
Follow him on LinkedIn or Facebook. He can be reached at ray.sharma@thefastmode.com
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