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Agent thats reason, not just report
 

Every Neuron Agent runs on the same knowledge base and the same localized AI stack — whether it's watching a fab floor, a supply chain, or a data pipeline.

REASONING , NOT CORRELATION

Instead of Sensor A correlates with Yield B,” a Neuron Agent can say: “This chamber condition at Step 1 propagates a variation that shows up as a defect at Step 2 — here's the impact.”

Two layers of agents, one knowledge base

A foundation layer keeps your data correlated and trustworthy. A business layer reasons over it — tuned to your industry.

FOUNDATION LAYER

Platform & Data Agents

Runs underneath every deployment — correlating, curating, and contextualizing data the moment it lands.

BUSINESS LAYER

Domain Agents

Built on top of the foundation layer, tuned to your industry — semiconductor, supply chain, and beyond.

Platform & Data Agents​

Industry-agnostic. The same six agents keep data correlated and trustworthy, whatever you build on top.

FOUNDATION LAYER — RUNS IN EVERY DEPLOYMENT

D-Neuron Knowledge Base Agent

Not a passive database — an agent in its own right. It reasons over the entities and relationships it holds, performing inference as Context and other agents feed it, so the knowledge base itself gets smarter with every record, not just larger.

Integration & Sync Agent

Connects and ingests data from OT, on-prem, and cloud systems, then keeps it current — merging incremental changes into the knowledge base without full reprocessing.

Context Agent

Continuously scans incoming data and inferences with the Neuron Knowledge Base Agent to identify what it actually is — a manufacturing lot, a part number, a process step, or a piece of equipment — strengthening the knowledge base together as data flows in.

Pipeline Balancer Agent

Balances load across data pipelines in real time to maximize cluster utilization — distributing work dynamically so compute resources are never sitting idle or overloaded. Saving cost!!!

Correlation and Curator Data Agent

Links entities and events across sources into one reasoning-ready view, then reconciles identity across sites — matching the same lot or part under different names, deduping, standardizing into a common format, and flattening the result for transformation.

Transformation Agent

Automatically builds data domains from the curated knowledge graph, then generates the KPIs and automated reports business analysts actually need — no manual pipeline work required.

Domain agents, built on the same foundation

Every agent below draws on the same Correlation, Curator, and Context agents above — just pointed at a different problem.

BUSINESS LAYER — AGENTS

Process Agent

Shows the impact of a floor change before it happens — modeling the effect across the current process, not just answering status questions.

Digital Twin

A live visual simulation of production moving through the plant, with the full schedule alongside it — see the plan before you commit.

Planning Agent

Reasons about sequencing, prioritization, and scheduling across the plant floor, weighing downstream constraints before committing.

Edge — Visual Inspection

Real-time edge ML that catches equipment over-detection of defects, trained in the cloud and running at production rate.

Yield & Quality Agent

Analyzes yield and quality impact in real time, tracing loss to root cause as it happens — closing the gap to entitlement continuously.

Tariff Agent

Traces tariff exposure through the supply chain, Bill of Materials, and production planning — before a cost increase hits the floor.

 EDGE  AGENT

 

 

D-Neuron Agents reason right where your data is generated — not after it's shipped off to the cloud. Running on KlickMQ at the edge, they catch anomalies, predict maintenance needs, and tune machine performance in real time, before problems ever reach the floor.

  • Agents that reason at the source, not after the fact

  • Predictive intelligence, not reactive alerts

  • Less downtime, more throughput — decided in the moment

  • Real-time insights without delays

  • Predictive intelligence at the source

  • Reduced downtime, increased efficiency

Domain agents, built on the same foundation

Every agent below draws on the same Correlation, Curator, and Context agents above — just pointed at a different problem.

BUSINESS LAYER — SEMICONDUCTOR

Lot Process Agent

Shows the impact of a change before it happens — modeling the effect on a lot's process, not just answering status questions.

Digital Twin

A live visual simulation of lots moving through the fab, with the full schedule alongside it — see the plan before you commit.

Lot Planning Agent

Reasons about lot sequencing, prioritization, and scheduling. Helps plan release and queue decisions across the fab.

Edge — Visual Inspection

Real-time edge ML that catches equipment over-detection of defects.

Yield Entitlement Agent

Analyzes yield impact in real time, tracing loss to root cause as it happens — closing the gap to entitlement continuously.

Design D-Neuron

Cell intelligence for chip design, from PDK to timing characterization.

LEADING COMPANIES
SAVED 25% ON SUPPLY CHAIN

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6 Factories

100 + mission critical entities from 6 different application platforms. 

Real-Time

Correlated data from different inventory platform 

From Fragmented Data to a Unified Global Inventory.

Kloud Klick integrates disparate inventory systems from different regions and product vendors, bringing them together into a unified global inventory on the cloud. Using its intelligent D-Neurons engine, Kloud Klick seamlessly collects, connects, and standardizes data across sources to provide a single, accurate view of inventory worldwide — enabling real-time visibility, faster decision-making, and optimized supply chain performance.

< 1 Sec

Data ingested into cloud from multiple sources in less than 1 sec 

100% correlation

Created a single view for all their global inventory by 100%  correlating every parts using D-neuron CNN model

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