One memory for the whole plant
PLCs, cameras, CMMS, ERP, manuals and meeting notes stop being silos and become a graph with operational context.
the Industrial Second Brain
Industrial Second Brain:
the operational memory AI is missing.
An Industrial Second Brain (also called a Company Brain) is the layer that turns signals from PLCs, cameras, documents and business systems into a structured, verified memory that people and AI agents can query. It runs at the plant, not in the cloud, and never controls the machine: it proposes, and a person decides.
Answers with evidence, not inference
Every fact carries its source, access level, verification state and validity. When there is no evidence, the answer is "I do not know".
Agents propose, people execute
Models read the memory and suggest the work order, the quote or the adjustment; the decision and the action on the machine remain human.
What an Industrial Second Brain is
A cognitive architecture deployed on the customer premises that translates the physical reality of the plant into structured memory: which machine exists, which camera watches it, what its last failure was, which procedure applies and at what price each service is sold. It is also called a Company Brain or institutional memory.
The problem it solves
Industry has spent decades capturing telemetry: PLCs, SCADA, historians, MES, ERP. What it never captured was context. The ERP knows the orders, the PLC knows the pressure, cameras record passively and the operator keeps the tacit experience of the shift, which leaves with them. None understands the whole, and an LLM without that map reasons well about nothing.
RAG and knowledge graph, together
Retrieval-augmented generation finds the relevant document fragment; the knowledge graph keeps the relations: this motor belongs to this line, this panel feeds it, its manual is this file, its last ticket was that one. Together they let a natural-language question reach the right evidence instead of a similar-looking paragraph.
Four signals on every fact
Each piece of memory carries a tenant (whose it is), an access level (L0 public, L1 team, L2 commercial, L3 restricted), a state (unreviewed archive, draft, verified by a person, or conflict between sources) and a validity period. An expired price is not served; a conflicting fact is flagged; nothing unverified is invented.
How the physical world gets in
The iGromi Bridge is a passive gateway that attaches to the plant buses without modifying PLC programs, auto-discovering protocols and parameters. Vision models at the edge turn existing cameras into sensors. Everything runs local-first, with no cloud dependency.
How people and agents use it
People and copilots query the same memory through natural language or standard tools such as MCP (Model Context Protocol). A quoting agent looks up verified prices and the CRM contact; a field agent retrieves the installation procedure before guiding whoever is in front of the equipment.
The non-negotiable rule
AI never controls the machine directly. It proposes work orders, adjustments and answers; a person approves them and the control system executes. No model reorganizes the memory without human approval. That is the difference between a trustworthy assistant and a dangerous one on a plant floor.
Lobes: installable knowledge
A Lobe packages the knowledge of one domain (ontology, rules, tools and agents) and installs into the Second Brain like an app: clearance control, unloading safety, silo inventory, motor diagnostics. Build once, deploy across plants.