Edge · Cloud
Intelligence Stack
Sense on the edge · think in the cloud · act in the physical world
Low-latency interaction on the edge, complex reasoning in the cloud, unified orchestration via the intelligence hub — an engineering substrate that is perceptive, retentive, collaborative, and continuously evolving, so countless terminals can run reliably together at scale.
Lancore embodiment platform · edge-cloud panorama
The cloud handles complex reasoning and long-term memory, the edge handles real-time sensing and execution, the hub handles multi-agent coordination — one closed loop across three layers.
Sense on the edge · think in the cloud · act in the physical world
Three layers, three jobs, one closed loop — AI that reacts within 300ms while still reasoning deeply in the cloud.
Edge · real-time response
Voice codec, echo cancellation, multi-turn logic and sensor pipelines run on-device. The atomic-skill library is called locally to avoid round-trips and squeeze latency to the minimum.
Cloud · complex reasoning
Cloud agents handle complex reasoning, long-term memory and multi-agent collaboration. The four engines — tool, interaction, planning, memory — sit on one platform layer.
Intelligence hub · task coordination
The hub is the coordination interface for cloud agents — high-efficiency routing, task decomposition and load balancing across many agents, so every device is both independent and connected.
Stability · efficiency · and cost
End-to-end and modular engineering — not single-point tweaks, but full-stack efficiency from architecture to delivery.
End-to-end + modular dual-redundancy
Cloud agent + end-to-end simulation. Multi-turn logic, edge voice & motion modules, and cloud safety redundancy give both software and hardware fallback paths.
300ms dialogue latency
On-device voice codec, echo cancellation and multi-turn logic cut cloud dependence; paired with high-concurrency low-latency cloud routing, total dialogue latency drops to 300ms.
Token cost down 70%
For FAQ-style scenarios, structured knowledge extraction + local knowledge base reduce LLM calls — average token cost drops by 70%.
Five capabilities of edge-cloud co-orchestration
Every capability maps to a real-world engineering decision — from the substrate to the application layer.
Codec, echo cancellation and multi-turn logic run on-device, dramatically cutting cloud round-trips; paired with cloud low-latency routing, a full dialogue loop completes within 300ms.
Cloud agents handle tool calls, intent understanding, decomposition, global decision-making and deep specialized LLM inference; supports lightweight local deploy for resilience.
The intelligence hub orchestrates the agent network — tasks are dynamically split, executed in parallel, and aggregated back across many agents.
Knowledge base, in-memory compute and persona modeling — every interaction is consolidated into a better next one.
Edge-side low-level safety instructions + cloud-side native LLM safety system — hallucination, concept-drift and instruction-following coverage across the chain.
Not slideware — shipped engineering results
These numbers come from real orders, real factories, real deliveries — from 170k modules shipped to a 17-year-running industrial inspection line.
AI that works like a nervous system
The edge is limbs — sensing and reaction; the cloud is the brain — reasoning and memory; the hub is nerves, letting countless Agents think in concert. Not a deployment topology, but the nervous system between the AoT-era physical world and the intelligent one.
Data flywheel · more endpoints → smarter system
Endpoints online → interaction volume → token routing → data flowing back → models evolving. Every edge-cloud handshake compounds platform intelligence. Customer device shipments bring massive real-world interactions — companion, education, industry, and city scenarios form a continuous traffic stream.
From 2B sites to 2C users
Validated by Dreame, Yuanlong, Sakurai, SpinMaster and other leading partners; 20M-unit single-channel shipment capacity; toys & collectibles, fashion-tech, wearables, small appliances, gov / city, elderly companionship — every endpoint can join this intelligent network.