Adaptive connectivity
Connect close to PLCs, controllers and sensors with governed mappings and connection health.
X·Neurons · Edge Enterprise Intelligence
Enterprise Intelligence, starting from the field.
Start with industrial connectivity and governed data, then observe, analyze, coordinate controlled workflows and learn from outcomes at the edge.
- Edge, private and hybrid deployment
- Preserve existing OT and IT investments
- Human decisions and safety controls first
FieldPLC · Sensor
SystemsMES · ERP
DecisionPeople & workflow
Not another dashboard
Connect field data to real accountability and action.
When anomaly information is scattered across alarms, work orders, reports and chat groups; when different shifts repeatedly investigate the same kind of problem; when dashboards point out a deviation but nothing connects it to responsibility and follow-up action; when senior people know how to judge but their experience cannot be reused by new teams — X·Neurons takes "a shared workspace from event to outcome" as its product hypothesis to be validated.
The minimum unit of success is not a model or a screen, but a loop that can be executed safely, validated by outcomes and improve the next response.
Six concrete modules
From device protocols to governed intelligence.
Six product modules carry eight responsibility domains from Connect through Govern.
Unified data management
Preserve the source while governing names, units, tags, quality and lineage.
Edge time-series data
Buffer, retain and query time-series data at the site, including offline operation.
Operational visualization
Place signals in asset and event context with SVG views, events and governed actions.
Hybrid workflows
Compose data, AI, human approval and governed outputs in inspectable workflows.
Zero-trust security
Protect every exchange with node identity, least privilege, encryption, rotation and audit.
Digital twin workspace
Model thermal, power and operational scenarios for data centers, IDC and AI infrastructure.
Capability loop
Feed outcomes into the next judgment.
Data can become enterprise capability only when it enters context, decision, action and learning.
- 01ConnectConnect reality
- 02ContextBuild context
- 03ObserveObserve events
- 04ReasonReason with evidence
- 05DecideMake accountable decisions
- 06ActAct with control
- 07LearnLearn from outcomes
- 08GovernGovern throughout
HFS · Hybrid Flow
Connect data, AI and people through visual workflows.
HFS enables OT, SI, data and AI teams to inspect data sources, transformations, models, approvals, outputs and controls together. High-risk actions still require allowlists, least privilege, simulation, rollback and human approval.
Edge · Private · Hybrid
Operate in a world where networks are imperfect.
Place capabilities according to sovereignty, latency, disconnection and control risk.
HA
High-availability candidate
Use heartbeats, node identity and failure domains to sustain critical services; formal claims require failure and recovery testing.
FED
Federated edge computing
Coordinate compute and workloads across edge nodes within policy while preserving site isolation and safe stopping.
Human authority
What it does not do
X·Neurons does not replace field procedures with a chat interface, does not claim every decision can be automated, and does not bypass PLC, SIS or other safety-critical controls. When data is insufficient, a model is uncertain or an external system's state is unknown, the product should lower confidence, ask for confirmation or stop safely.
01
AI output must expose source, time, version and uncertainty.
02
Suggestion, approval, dispatch, execution and outcome remain distinct states.
03
When data, models or external state are untrusted, degrade, request confirmation or stop safely.
Start with one loop
Start with a real problem.
Tell us how the event happens, how it is handled today, and which outcome you want to change. We will first judge whether this is a fit — we do not assume every problem needs X·Neurons.
Discuss an operational scenario