There was a time when enterprise technology platforms largely focused on one thing. Communications systems handled calls. Monitoring tools watched networks. Logistics systems tracked shipments. AI platforms analyzed data somewhere off to the side. That separation is fading pretty quickly.
This year’s INTERNET TELEPHONY TMC (News – Alert) Labs Innovation Award winners reflect how operational technology is becoming more unified, more intelligent and, in many cases, more proactive. AI is showing up deeper inside infrastructure itself, helping organizations anticipate issues, coordinate field operations, improve visibility, and make better decisions in real time.
Some of the strongest themes across this year’s winners are resiliency and context. It’s not just about collecting data, but understanding what matters inside the flood of information modern organizations deal with every day. Whether that means helping field teams maintain communications during outages, helping healthcare AI systems interpret clinical meaning more accurately, or helping enterprises spot network issues before they escalate, the focus has clearly shifted toward operational awareness.
Taken together, the 2026 class highlights how communications, AI, analytics, and infrastructure management continue converging into more unified operational environments.
101VOICE
ARVOS
Push-to-talk communications have been around for decades. What has changed is the environment surrounding them. Organizations today are trying to coordinate distributed teams across campuses, municipalities, transportation fleets, and field operations that stretch far beyond the reach of traditional radio systems. Coverage gaps, infrastructure costs, and fragmented management tools can quickly become operational headaches.
ARVOS approaches the problem differently. Instead of building around fixed radio infrastructure, the platform combines cloud-native management, multi-carrier LTE (News – Alert) connectivity, centralized orchestration, and operational visibility into a single managed environment. The result feels less like a traditional PTT system and more like a software defined communications platform for field operations.
Where it fits
ARVOS is designed for organizations operating in education, municipal government, transportation, logistics, facilities management, and other field-intensive environments where reliable real-time coordination matters.
Notable capabilities
- Multi carrier intelligent connectivity – Devices dynamically select the strongest available carrier network in real time to improve coverage continuity and resiliency.
- Cloud native orchestration – Administrators can remotely manage devices, talk groups, policies, and communications environments through a centralized control plane.
- Operational visibility tools – Support for video enabled devices, analytics, and location awareness extends the platform beyond voice communications alone.
- Managed service delivery model – Connectivity, devices, and communications services are delivered together in a unified operational environment.
- Hybrid connectivity support – Satellite backhaul integration helps maintain operations in remote or disaster recovery scenarios.
Why we selected ARVOS for the 2026 INTERNET TELEPHONY TMC Labs Innovation Award
ARVOS stood out because it rethinks how mission-critical communications can operate in modern distributed environments. The combination of intelligent multi-carrier connectivity, centralized cloud management, and operational visibility tools creates a more flexible approach than traditional infrastructure-heavy radio deployments. Just as importantly, the platform focuses on simplifying coordination across real-world operational environments where communications reliability directly impacts response time and situational awareness.
AireSpring
AIreCONTROL 2.0
Managing enterprise infrastructure has become increasingly complicated. Networks are larger, environments are more distributed, and IT teams are expected to maintain visibility across a growing mix of carriers, circuits, devices, cloud platforms, and security layers. In many organizations, operational data ends up scattered across disconnected systems and dashboards.
AIreCONTROL 2.0 attempts to pull those moving parts together into one operational management layer. The platform combines monitoring, inventory management, automated incident handling, analytics, and AIOps intelligence into a centralized interface designed for multi-location enterprise environments.
One thing that stands out is the amount of contextual information the platform incorporates. Weather feeds, power grid alerts, endpoint telemetry, and carrier outage data are all folded into the operational picture. That broader context can help IT teams spot risks earlier instead of simply reacting after an outage has already spread.
Where it fits
AIreCONTROL 2.0 is designed for enterprises, MSPs, and VARs managing distributed network environments across industries such as retail, finance, manufacturing, healthcare, and multi-site operations.
Notable capabilities
- Unified operational visibility – Combines monitoring, inventory management, analytics, billing insight, and carrier management into a centralized platform.
- Integrated AIOps intelligence – Incorporates weather alerts, power grid data, carrier outage feeds, endpoint telemetry, and security event information.
- Automated carrier escalation – Automatically creates and escalates support tickets across more than 265 global carriers.
- AIreReboot integration – Optional remote reboot functionality helps restore connectivity to unresponsive devices without requiring on-site intervention.
- Expanded third party monitoring – AIreMONITOR supports customer premises equipment and third-party infrastructure using SNMP and ping-based monitoring.
Why we selected AIreCONTROL 2.0 for the 2026 INTERNET TELEPHONY TMC Labs Innovation Award
AIreCONTROL 2.0 stood out for moving beyond traditional monitoring and creating a broader operational coordination platform. The integration of AIOps data, automated carrier engagement, remote remediation, and centralized visibility gives IT teams a more complete operational picture across increasingly complex environments. The platform also addresses a practical reality many enterprises face today: Infrastructure problems rarely exist in isolation anymore. AIreCONTROL 2.0 attempts to connect those dots before issues escalate into larger disruptions.
IMO Health
IMO Health Knowledge Graph
Healthcare AI faces a difficult problem that does not get discussed enough outside clinical circles. Specifically, medical language is messy because terminology changes across specialties, documentation styles vary between providers, and the same concept can appear in many different forms across healthcare systems. That creates obvious challenges for AI systems trying to interpret clinical meaning accurately.
IMO Health’s Knowledge Graph was built to help solve that problem by creating a clinically grounded context layer that connects terminology, coding systems, and real-world documentation patterns into a structured semantic framework. Rather than relying entirely on probabilistic interpretation, the platform attempts to provide AI systems with more deterministic clinical context.
The underlying concept is fairly sophisticated, but the practical goal is straightforward. IMO Health wants to help healthcare AI systems reason more accurately and consistently across clinical, operational, and financial workflows.
Where it fits
The IMO Health Knowledge Graph targets healthcare providers, EHR vendors, payers, analytics organizations, and life sciences companies seeking greater consistency, interoperability, and contextual accuracy in healthcare AI environments.
Notable capabilities
- Clinical context layer – Connects medical terminology, coding systems, and documentation patterns into a unified semantic framework.
- Flexible integration architecture – Supports APIs, SDKs, GraphQL, MCP servers, and agentic interfaces across diverse technology stacks.
- Deterministic clinical context – Provides structured clinical relationships designed to improve AI reliability and interpretability.
- Continuous clinical curation – Clinical informaticists and clinicians continuously refine and validate relationships inside the graph.
- Interoperability support – Supports normalization, search, extraction from unstructured text, and graph traversal across millions of concepts.
Why we selected the IMO Health Knowledge Graph for the 2026 INTERNET TELEPHONY TMC Labs Innovation Award
The IMO Health Knowledge Graph stood out because it addresses one of the biggest long-term challenges facing healthcare AI – contextual accuracy. The platform combines decades of real-world clinical workflow experience with modern API accessibility and semantic infrastructure designed specifically for healthcare environments. As organizations continue integrating AI into sensitive clinical and operational workflows, technologies that improve consistency, interpretability, and trust may become increasingly important. IMO Health’s approach represents a meaningful step in that direction.
Tag-N-Trac
Relativity
Supply chains have become more difficult to manage over the past several years, especially in industries where environmental conditions directly affect product quality. Pharmaceuticals, perishables, and cold chain logistics all depend on continuous visibility across shipments, facilities, and transportation networks. Even relatively small disruptions can create expensive operational consequences.
Tag-N-Trac’s Relativity platform combines IoT enabled tracking, Bluetooth and 5G cellular telemetry, cloud analytics, and AI-driven risk analysis into a unified logistics visibility platform designed for these kinds of environments.
The platform tracks assets from SKU level through container level and converts large volumes of telemetry data into operational insight. That may help organizations identify risks earlier, improve shipment visibility, and respond faster when conditions begin changing in transit or storage environments.
Where it fits
Relativity targets pharmaceutical, food and beverage, logistics, and cold chain environments where real-time monitoring and shipment visibility are operational priorities.
Notable capabilities
- Real time asset visibility – Provides tracking from SKU level to container level across warehouse and in transit environments.
- Hybrid telemetry architecture – Combines Bluetooth and 5G cellular tracking technologies for broader operational flexibility.
- AI driven risk analysis – Uses analytics and mitigation tools to identify potential disruptions and operational anomalies.
- Cold chain monitoring – Supports temperature-sensitive environments requiring continuous operational oversight.
- Cloud based analytics platform – The Relativity platform converts large-scale telemetry data into operational intelligence and reporting.
Why we selected Relativity for the 2026 INTERNET TELEPHONY TMC Labs Innovation Award
Relativity stood out for combining IoT telemetry, AI-driven analytics, and real-time supply chain visibility into a unified operational platform designed for highly sensitive logistics environments. The platform’s focus on pharmaceutical and cold chain operations reflects a growing need for more intelligent infrastructure across global supply chains. By combining physical tracking technologies with cloud-based analytics and operational risk analysis, Tag-N-Trac demonstrates how AI and connectivity continue expanding into real world operational environments well beyond traditional enterprise IT.
Edited by Erik Linask