HiveIntel is engineering a new layer of digital infrastructure—what we call Mind Fabric—a distributed foundation for human-machine collaboration, autonomous reasoning, and collective cognition.
What We Provide
Edge-native data swarms for decentralized digital twins.
SwarmDS forms the sensory layer of the Mind Fabric by capturing, processing, and transmitting data directly from Internet of Things (IoT) devices and edge systems. It helps teams:
"SwarmDS weaves the real world into the fabric of collective intelligence."
Knowledge Mesh integrates and fuses data from SwarmDS, public knowledge, and domain-specific graphs to build composable knowledge models. These capabilities:
"Knowledge Mesh transforms fragmented data into shared, actionable intelligence."
The knowledge core of the Mind Fabric.
A governed agent orchestration layer for compliant, domain-aware decisions.
Proactive Domain Experts is our governed agent orchestration layer. It runs compliant, task-aware AI agents built on the HiveIntel Knowledge Mesh and connected to SwarmDS at the edge. With Proactive Domain Experts, teams can:
"From data to governed action across mobility, energy, and infrastructure."
✨Why HiveIntel?
We're not just building software - we're weaving together the Mind Fabric for:
Our Projects
SIXG (Serverless Infrastructure for neXt-Generation 6G Networks) is a European initiative that is building a real-time serverless computing framework for 6G. The goal is to run AI-native services across the cloud-edge-network continuum with predictable latency, elastic scaling, and stronger security.
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Ship reliable language capabilities on constrained hardware—without guessing the cost to run it. Energy-aware Swarm Intelligence with SLMs is an energy- and efficiency-aware benchmarking product for Small Language Models. It helps you compare SLMs across quality, latency, cost, power, and carbon, so you can pick (or route to) the right model for every device, budget, and workload.
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Trafnet is a data-driven platform that delivers real-time insights on traffic patterns and mobility trends. It helps organizations monitor, analyze, and optimize transportation systems for safer and more efficient movement.
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SV2G-Twin turns fleet electric vehicles into safe, software-defined energy assets. Semantic twins run locally in vehicles while a depot orchestrator coordinates charging, discharging, and demand response with open standards for interoperability, compliance, and scalable EU rollout.
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