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NEW YORKJune 15, 2026 /PRNewswire/ — As artificial intelligence rapidly transitions from dashboards to decision-making systems, a new partnership between Allora Network and Pairpoint, a Vodafone-backed company, offers a glimpse into the next phase of enterprise infrastructure: systems with predictive capabilities.
Allora Labs and Pairpoint, a Vodafone-backed company, will jointly build a predictive intelligence layer for the Economy of Things.
Pairpoint, an “Economy of Things” startup backed by Vodafone and Sumitomo Corporation, is building a global platform that enables machines, vehicles, and devices to self-identify, transact autonomously, and coordinate without human intervention.
Allora, an AI network, is providing these systems with the missing link needed to operate at scale: continuous, prediction-based intelligence.
The two are working together to integrate Allora as an intelligence layer supporting Pairpoint and Vodafone’s various IoT use cases—the first of which is an “Electric Vehicle Charging Optimization Proof of Concept,” embedding predictive intelligence directly into routing and charging systems to move beyond static data and enable forward-looking decisions.
From Connected Devices to Intelligent Systems
“For years, IoT has been great at telling us what is happening,” said David Palmer, Chief Product Officer at Pairpoint. “But as systems become autonomous, that’s no longer enough. Machines need to infer what will happen when they acquire, process, or release resources.”
In the context of EV charging, this distinction is critical. A charging station that appears available now may be occupied by the time you arrive. Prices can spike. Energy consumption varies with route, weather, and traffic. Static systems struggle because the world is not static.
That’s where Allora comes in.
“Allora doesn’t rely on a single model for predictions,” explained Nick Emmons, CEO of Allora Labs. “It’s a network of machine learning models that compete and collaborate around the same prediction targets, with their outputs continuously evaluated and combined. The system learns which models perform best under which conditions.”
The result is intelligence that is quantifiable, context-aware, and adaptive. In a rapidly changing world, this is essential for enterprises.
Why EV Charging is the First Validation Point
EV charging sits at the intersection of infrastructure, economics, and uncertainty. Decisions impact time, cost, reliability, and user trust. This makes it an ideal environment to test whether decentralized AI can outperform traditional approaches.
In this integration, Pairpoint’s routing system queries Allora Topics for predictions at decision time:
- Energy consumption and state of charge upon arrival
- Probability of charger availability at estimated time of arrival
- Charging price during the estimated time window
Planners then use these predictions to recommend routes and charging stations optimized for time or cost, accounting for uncertainty.
“This is about transforming existing infrastructure into a smoother, smarter, and more user-friendly system,” Palmer said.
New Opportunities for Machine Learning Builders
Beyond the EV use case, incorporating Allora into Pairpoint’s AI stack opens up a new deployment platform for machine learning models.
Allora Network opens these enterprise prediction challenges to a global community of ML engineers. Model builders can directly contribute to “Topic” projects, helping them power real-world infrastructure, compete in live data environments with clear success metrics, and see how their models influence real-world decisions.
“For most ML researchers, their work ends at a benchmark,” Emmons said. “Here, the benchmark is reality. Models are continuously evaluated against changing conditions, and the best-performing ones go into production.”
This creates a new incentive structure:
- Real enterprise data, not synthetic tasks
- Transparent performance metrics
- Deployment into live systems
- Economic rewards tied to actual utility
“This is infrastructure,” Emmons added.
Intelligence as Infrastructure
For Pairpoint, the implications extend far beyond EV charging. The same predictive intelligence layer can be applied to fleets, logistics, supply chains, and smart cities—anywhere machines need to coordinate under uncertainty.
“What excites us is the convergence,” Palmer said. “IoT connects the physical world. Blockchain gives us trust and settlement. Decentralized AI gives systems adaptability. Together, you can build autonomous infrastructure that truly scales.”
As enterprises increasingly rely on systems that can operate autonomously, partnerships like Allora × Pairpoint signal a shift in how AI is built and deployed—no longer a “black box” owned by a single vendor, but a shared, competitive, and continuously improving layer across the ecosystem.
For ML builders, this is an opportunity to move from experimentation to impact.
About Pairpoint, a Vodafone-backed company
Pairpoint is an “Economy of Things” (EoT) joint venture established by Vodafone Group and Sumitomo Corporation. It aims to enable autonomous machine-to-machine identification, connection, and transaction execution on a global scale.
Leveraging Vodafone’s extensive IoT footprint and secure digital identity capabilities, the Pairpoint platform enables devices, vehicles, sensors, and machines to coordinate autonomously, transact, and make decisions without human intervention.
With a blockchain-driven backend architecture and native support for decentralized settlement mechanisms, Pairpoint is poised to unlock a new generation of pay-per-use service models in mobility, logistics, energy, and connected infrastructure.
About Allora Network
Allora Network is a decentralized AI inference network that leverages a globally distributed community of machine learning models to generate highly accurate and context-aware predictions in real time.
Built on a modular, topic-driven system, Allora coordinates multiple competing models on shared prediction tasks, continuously evaluates performance in live environments, and aggregates their outputs into a high-confidence composite signal.
By treating inference as an open, competitive, and economically aligned process, Allora delivers continuously optimized AI services that can be directly embedded into operational systems, supporting use cases from EV charging optimization to autonomous IoT decision-making.
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Allora is a self-improving decentralized AI network.