VOLTA · BERLIN·5 lines·2,437 documents indexed·01 MAY 2026 · 06:42
0Documents indexed
0Active users
0Messages this month
0QR scans this month
/CHART · MESSAGES PER DAY/
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6+ AI AGENTS15+ LANGUAGEScloud-agnostic · on-premazure marketplace · macc
HIERARCHY
Your plant, mapped.
Plant → Line → Machine → Component. The hierarchy is editable, AI-generated from your connected sources, exportable as PNG or SVG. It maps every document, every work order, and every QR code to its equipment.
Tree, cards, or table: the view that works for you. Four analysis modes at upload (text, OCR, electrical diagrams, technical drawings). And when the AI search is unsure, it asks you a question instead of burying you in results that miss the point.
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AI
✦Did you mean: the torque spec for Filler MV-820 head 3, after the V2 retrofit (post 12.04.26)?
CARDS · 12 / 47✦3 relevant documents
TEXT✦
Manual_MV820_v12_FR.pdf
Filler MV-820
SOP
retrofit-q4-25
torque
ELECTRIC✦
Schema_elec_MV820_rev_B.dwg
Filler MV-820
electrical
schematic
TEXT✦
Procedure_Calibration_V8.pdf
Head 3
calibration
torque
TEXT
SOP_changeover_line04.docx
Line 04
SOP
changeover
PNEUMATIC
Pneumatic_diagram_capper.pdf
Capper MV-700
pneumatic
schematic
OCR
Retrofit_report_Q4_25.pdf
Filler MV-820
retrofit-q4-25
report
TEXT
Maintenance_log_2026_W17.xlsx
Line 04
log
maintenance
ELECTRIC
Wiring_diagram_V12A.pdf
V12-A sensor
electrical
sensor
TEXT
Operator_manual_MV820_DE.pdf
Filler MV-820
operator
manual
TEXT
Spare_parts_catalog_2026.pdf
Filler MV-820
parts
catalog
TEXT
Pasteur_setpoints_v3.docx
Pasteurizer
SOP
setpoint
TEXT
Bottling_label_specs.pdf
Bottler B-200
label
spec
Tree / Cards / Table views
Text · OCR · Electric · Pneumatic upserts
AI search
Versioning · AI diff
DOC DETAIL + CHAT
Ask the document in any language.
Have the document and it's conversation side by side. Our AI cites the exact passage it's anwers are based on. 15+ languages, electrical schematics, mechanical drawings. Multi-language voice on demand.
Attach multiple documents to the same conversation. The agent cross-references the sources and answers with citations grouped per document, page by page. No more juggling 4 PDFs at once.
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CHAT · 4 DOCUMENTS
Manual_MV820_v12_FR.pdf
SOP_changeover_line04.docx
Procedure_Calibration_V8.pdf
Schema_elec_MV820_rev_B.dwg
YOU · 14:08
How do we switch line 4 from product A to product B without losing torque calibration?
AGENT · IDM
3 steps, cross-referencing all 4 documents:
1. Stop the line and lock out in CHANGEOVER mode (SOP §4.1). 2. Record the current torque 27 Nm on head 3 (Manual §4.2) before any disassembly. 3. Follow Calibration V8 §3 — target stays 27 Nm post-retrofit (M8×40 stainless, schematic fig. 4.2).
⚠ Calibrated torque-wrench validation required before restart.
Cross-document synthesis
Citations grouped per doc
Thinking block · AI reasoning
Click → jump to page
AI VERSION DIFF
Every retrofit, explained.
When a retrofit or a revision updates a document, you get a side-by-side comparison that shows exactly what changed, and an AI that explains it in plain language. Your teams know what to re-read, without hunting through the old version.
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Manual_MV820_v12_FR.pdfFILLER MV-820
COMPARING
V1
V2
V3
V4
V5
12Lines added
4Lines removed
3Lines changed
2Pages affected
AI · CHANGE SUMMARY
Page 47 — Torque revised from 25 Nm → 27 Nm following V2 retrofit (new bolt material, M8×40 stainless). Added an explicit calibrated torque-wrench verification step. Pages 48 & 51 reference the same torque value → updated automatically.
Generate a QR code and link it to a document, a hierarchy level, a tag, or a specific piece of equipment. Technicians scan with any phone. They land on the right documents and ask their questions, wherever they are on the line.
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QR · NEW CODE
Document
Hierarchy
Tag
Equipment
TARGET · EQUIPMENT
Filler MV-820 / Head 3
VOLTA · BERLIN·LINE 04·47 docs
QR-VOLTA-A2F4D9
128scans · 30d
SHOP FLOOR · LIVE
14:08●●● 5G ⚡
Align QR in the frame
The right doc, from the right QR.
Document · Hierarchy · Tag · Equipment
Scan count tracking
PNG export
Lasered onto metal
OEM / CLIENT PORTAL
Ship the intelligence with every machine.
You're a machine builder. Your equipment ships with paper manuals and a USB stick, and the field stays silent. Discover our new OEM portal: assign documents per machine, capture the questions operators ask when machines run or stop, and let the AI surface the recurring issues, by theme, by machine, by client.
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4Active clients
10Machines deployed
121Documents shared
112Questions this month
VB
Volta Beverages
VOLTA · BERLIN · 4 machines deployed · 23 active users
MACHINES · 4 · 47/52 DOCS SHARED
Filler MV-820
12/14
Capper MV-700
9/11
Pasteurizer P-800
14/15
Bottler B-200
12/12
AI · QUESTION CLUSTERING
/01Calibration · torque47questions
"Quel couple pour la tête 3 après retrofit V2 ?"
MV-820
MV-700
·
3 clients
/02Error codes · ERR_4232questions
"ERR_42_OVERTEMP — comment je résous ?"
MV-820
P-800
·
4 clients
/03Changeover · product A→B19questions
"Procédure changeover Line 04, perdre la calibration ?"
MV-820
·
2 clients
/04Spare parts · M8 bolts14questions
"Référence M8×40 inox compatible V2 ?"
MV-820
·
2 clients
Client roster
Doc-to-machine assignment
AI questions clustering
Headless embed API
AUTOMINSIGHT
Talk to your operational data.
When a machine throws an error, the agent links the PLC or SCADA fault to its fix, pulled straight from your technical documentation. And when a static dashboard can't show every metric, you just ask in plain language: the agent answers from your historian, or builds the chart on the fly.
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BECKHOFF · LIVEFILLER MV-820 · LINE 04
EXECUTIONERR_42_OVERTEMP
TEMP142°C
PRESSURE2.5bar
RPM1,280/min
IDM · PASSAGE FOUND AUTOMATICALLY
"On overheat (ERR_42), check coolant flow. Step 1: open valve V12-A. See §4.2 page 124."
Manual_MV820_v12_FR.pdf · P. 124
OEE · CONVERSATIONALJAN 30 → APR 30
YOU · 14:18
Main downtime cause on line 4 this month?
DOWNTIME HOURS · LINE 0431.0 h total
01
05
09
13
17
21
25
29
47%Jamming14.6 h
30%Changeover9.3 h
10%Maintenance3.1 h
13%Other4 h
PLC live · OPC-UA · MQTT
Fault-to-doc · closed loop
OEE/TRS · charts on demand
Scheduled reports via Email / Teams
KNOWLEDGE GRAPH
Your systems are blind to each other. The graph connects the dots.
The Knowledge Graph connects your machines, documents, work orders, production lots, and materials across every system. It grows richer over time, creating the semantic layer your systems were always missing.
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KNOWLEDGE GRAPHINCREMENTAL · HYBRID RETRIEVAL
ERP · 12 . 04 . 26
Supplier change · Acme → Bril
SCADA · 14 . 04 → 18 . 04
Pasteurizer drift · +2 °C
MES · BATCH-2604
Validation V07 · skipped
IDM · V3 · 2024
SOP_pasteur_v3 · outdated
AI · CONCLUSION · TEMPORAL GRAPH
Root cause: the supplier change introduced a +2 °C requirement on the pasteurizer that was never reflected in the SOP setpoint. Validation V07, which would have caught the drift, was skipped under operator pressure. No single system saw it — the graph did.
Unify your systems
Incremental · no rebuild
Semantic + BM25 + traversal
PREDICTIVE MAINTENANCE
Predictive maintenance, connected to the systems you run.
AutomAssist brings industrial predictive maintenance within reach by linking your CMMS, SCADA supervision, ERP, MES and technical documents through a Knowledge Graph — one AI agent per source, read-only, operational in days. Instead of a mass data-normalisation project, the failure history and alarms you already record feed predictive and machine-learning models, alongside your preventive plans.
It runs with your existing maintenance software — a web-based, SaaS or on-premise CMMS — and extends it: enriched SCADA context, early-warning alerts, and machine records reachable on a phone or tablet at the point of the fault, without a heavy data-engineering programme.
Connected, not migratedyour CMMS/GMAO keeps its role; AutomAssist links it to SCADA, ERP, MES and documents.
Predictive from existing signalML fed by the Knowledge Graph, from data you already have — before any sensor rollout.
Deploy your waycloud-agnostic or on-premise; web, smartphone and tablet access for the shop floor.
FAQ Platform & predictive maintenance.
Predictive maintenance uses machine data and models to anticipate failures. AutomAssist connects your sources — SCADA supervision, CMMS, production history — through AI agents and a Knowledge Graph to deliver actionable predictions in days, with no long normalisation phase.
Yes. AutomAssist integrates with existing maintenance software, whether SaaS, full-web or on-premise, and surfaces preventive and predictive recommendations on desktop, smartphone and tablet.
No. With one agent per source and the Knowledge Graph, AutomAssist avoids heavy normalisation — you get results in days, not months.
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