01
Most real · provenData governance
- Reliable writes · read/write isolation
- Append-only audit trail
- Full data lifecycle
- Legacy data raised into AI-ready assets
Glass-box, trustedOverlay, not replaceGrounded data governanceBuilt for dual-carbon
The AI-native decision layer for process chemicals
From “seeing it” to “computing why”
We don’t replace your MES/DCS — we sit on top of the systems you already run, turning legacy data into assets AI can use, in a way that is traceable and auditable. AI only advises; a human confirms every critical action; your data never leaves the plant.
Feedstock batch → devol tower temp↓ → valve V-203 fault → moisture out of spec
A decision brain that sits on top of what you already run
Control and execution stay with your DCS/MES. We only do the layer they can’t — understanding, reasoning, early warning, decision.
// Not another dashboard, and not another system you’re asked to rip out.
AI layer
AetherC · AI decision layer
Ontology · traceable root cause · rules/audit/signature · human-in-the-loop
Your systems
Your existing systems (kept · read-only)
MES · ERP · LIMS · data acquisition
Control
Control layer · DCS/SCADA/field devices
Read-only, no intervention
What holds this AI up is three foundations that won’t age out
Models depreciate every six months. We invest in the slow variables and rent the fast ones — models iterate, the foundation needn’t be rewritten.
02
The right betOntology + action surface
- Everything is an object; a decision is an action
- Single source of meaning + consistency checks
- Write path = standard tool interface (MCP)
- Models are pluggable
03
Safe to useGlass-box governance
- Rules + database constraints, two layers
- E-signature · human-in-the-loop
- Conclusions carry evidence / confidence
- Trusted for hazmat and audits
A dashboard tells you the symptom. We compute the why.
▨ Visualized · symptom only● ALERT
Product moisture
0.082%OUT OF SPEC
// no cause · no action · dead end
◈ Traceable · root cause + evidence + action示意 / Illustrative
Feedstock batch
trait: batch fingerprint drift
Devol tower temp ↓
observed: tower temp dip
Valve V-203 fault
located: valve / flow anomaly
Moisture out of spec
verdict: spec exceeded
◆ TOP-1 root cause
Action: hold release · re-test · inspect V-203
One tells you “something went wrong.” The other tells you why and what to do — and every step is logged and auditable.
Dual-carbon
Carbon isn’t only about counting it — it’s about bringing it down
Most carbon platforms only measure and report. We envision a traceable layer on top of accounting — locating high-energy / high-carbon steps and giving executable savings advice.
Envisioned / exploratoryBaselineAfter AI
示意 / Illustrative▸ Drill · high-carbon stepsEnvisioned
Action: tune devol temperature band & heat recovery · est. reduction (modeled · TBC).
One glass-box decision layer, many chemical scenarios
Quality root-cause
Drill from symptom to root cause, with evidence and action.
Carbon diagnosis
Locate high-carbon steps on top of accounting.
End-to-end traceability & audits
Full-chain records from raw batch to finished goods — audit-ready.
Equipment & safety
Anomaly warning and causal locating, trusted for hazmat.
Already deployed in real production scenarios
Li-ion & new-energy materialsElectrolyte / cathode · multi-plant rollout
New-energy powder materialsMultiple firms · batch-traceability scenarios
Foundation first, capabilities activated as data matures
Step 1: get data governance and reliable writes solid, turning legacy data into an AI-ready foundation. Step 2: layer on ontology and glass-box governance, so conclusions are traceable and auditable. Step 3: activate AI decisions and digital-expert capabilities in stages, as data matures.
Method & views
View allWe write the method down, for peers to use
Not concepts — verifiable method.
About
An industrial-AI team rooted in process chemicals
We believe the bottleneck for industrial AI is data governance and trust, not the model itself. Our team works deep in process-chemical scenarios, distilling the data foundation, glass-box governance and traceable decisions into reusable, verifiable engineering assets — already being deployed on real production lines, step by step. We hold to clear principles: AI only advises, a human confirms every critical action, and your data never leaves the plant — partnering for the long run and making every step solid.
Contact
Let’s talk once, and see what we can help with
A conversation, a data check-up, or a maturity diagnosis on one small scenario — start from a low-commitment first step.
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