i4Valley Ecosystem

Your factory ran all night.
This report was waiting at 6am — on WhatsApp.

Connect anything — machines, sensors, ERP, CSV files — and AI maps your data automatically. No configuration. No schema. A clear, actionable production report every morning on WhatsApp, email, or Slack.

Your data is there. Nobody's reading it.

🚶

Walking the floor at 7am

Production managers piece together what happened overnight by visiting each machine, checking each screen, calling shift supervisors. Critical anomalies discovered hours late.

💰

Expensive platforms nobody uses

Enterprise solutions cost $50K-$200K/year, require proprietary sensors, and take months to deploy. 80% of factories can't justify this.

📋

Compliance documentation by hand

HACCP records, First Article Inspections, material traceability — assembled manually. Thousands of man-hours per year. One missed entry = audit failure.

📵

No single source of truth

Shift handover is a 2-minute conversation. By morning, context is lost. Nobody knows what happened, who responded, or what's pending.

How it works

1

Create your project

Three fields: name, industry, language. That's it. Then connect your data sources — webhook, API, CSV, or just upload a file.

2

Connect anything

Send data via webhook, REST API, MQTT, CSV, or database read — in any format. AI auto-maps your fields to metrics. No manual configuration, no schema definition.

3

Get your morning report

Every morning at 6am, an AI-generated report lands in your WhatsApp, email, or Slack. What happened, what went wrong, what to do about it.

4

Ask AI, collaborate, act

Ask follow-up questions in natural language. Your team adds notes. Maintenance responds. By 9am, the whole story is there — problem, diagnosis, action — without a single phone call.

This is what your morning looks like

A real report generated from one night shift. 4 machines, 847 cycles, 1 anomaly caught automatically.

DAILY PRODUCTION REPORT

February 18, 2026 — Night Shift (22:00-06:00)

Executive Summary

Production ran at 94.2% efficiency across 4 machines. 847 total cycles completed, 12 rejects (1.4% — within target). One anomaly requires attention: Machine 3 temperature drift.

ANOMALY Machine 3 — Barrel Zone 2 Temperature Drift MEDIUM
Detected: 02:15 • Duration: 3h 45min

Barrel zone 2 dropped 4.2°C below setpoint starting at 02:15. 9 of 12 total rejects (short shots) occurred on this machine after the drift began.

Thermocouple may need replacement — last service was 847 hours ago (recommended interval: 500 hours).

→ Check thermocouple before next shift.

Production Summary

Machine 1 238 cycles, 1 reject (0.4%) ✓
Machine 2 195 cycles, 2 rejects (1.0%) ✓
Machine 3 202 cycles, 9 rejects (4.5%) ⚠
Machine 4 212 cycles, 0 rejects (0.0%) ✓
TREND

Changeover Time Increasing

Target: 30 min | Last week: 35 min | This week: 42 min

Machine 1 changeover at 03:40 took 47 minutes. Recommend reviewing setup procedures.

Material Tracking

Lot B-2847 — 3.1% reject — Machines 2, 3
Lot B-2840 — 0.8% reject — Machines 1, 4

Lot B-2847 shows elevated reject rate across multiple machines — possible moisture contamination.

→ Test moisture level before next batch.

📱 Team Activity

06:12 Shift Manager: "Checked thermocouple on Machine 3, replacing tomorrow."
07:30 Maintenance Lead: "Part ordered, arriving Sunday."
08:45 Ask AI: "What's the reject trend for Lot B-2847 this week?"
→ "Reject rate increased from 1.2% to 3.1% over 3 days. Correlates with supplier shipment received Monday."

Your whole team. One report.

👷

Floor Manager

Gets the report at 6am. Adds notes from the floor. Starts the shift informed.

🔧

Maintenance Lead

Sees anomalies instantly. Responds with action items. No phone calls needed.

📊

VP Operations

Opens at 9am. Sees the whole story — problem, diagnosis, action — already handled.

🔍

Quality Auditor

Read-only access to compliance reports. Audit trail built automatically.

Admin — Full access. Manages team, settings, data sources, billing.
Editor — Generates reports, manages data, configures thresholds. For shift managers.
Viewer — Read-only. Sees reports and anomalies. For leadership and auditors.

Invite your team in 30 seconds. They get access before the meeting ends.

Ask AI — your report talks back

Don't just read the report. Ask it questions.

"What are the main issues today?" "Prioritize the anomalies" "What should I watch tomorrow?" "Compare this shift to last Tuesday" "Is this temperature drift related to the material lot change?"

Natural language. Instant answers. Context-aware — the AI knows your factory, your thresholds, your history.

Delivered where your team already is

📱

WhatsApp

Daily report summary + critical alerts. Private channel per factory. Whole team follows. Zero app installs.

📧

Email

Full PDF report attached. Weekly digest option. Compliance-ready format.

💬

Slack

Channel integration. Anomaly alerts in real-time. Thread replies for discussion.

🖨

Print

One-click print-optimized report. For the whiteboard, the shift handover binder, the audit folder.

Schedule: Daily at 6am. Critical anomalies: instant.

No sensors? No problem.

💾

Machine Data

Controllers with export

CSV upload or Ethernet pull

Full machine analytics report

📡

Connected

OPC-UA, MQTT, MES/SCADA

Real-time API integration

Live anomaly detection + daily report

🏢

ERP

Priority, SAP, Oracle, Monday.com

API/DB read via Engini.io

Cross-system correlation report

📊

OpenTelemetry

Any system exporting OTel metrics

Standard OTLP HTTP endpoint

Zero custom integration work

7 ingestion methods. AI auto-mapping. Zero configuration.

Send raw data in any format. AI identifies your metrics, sets thresholds, and detects schema changes automatically.

WebhookREST APIMQTTOpenTelemetry (OTLP)Database readFile upload (CSV/XML)Manual entry

Works with your machines

ArburgarburgXworld, OPC-UA, ALS
Engele-connect, OPC-UA
StratasysGrabCAD Print API, MQTT
EOSEOSTATE Monitoring
FormlabsDashboard REST API
Bambu LabMQTT
Siemens CNCOPC-UA, PROFINET
Priority ERPREST API, SQL, CSV

One report. All machines. All brands. All sources.

Cross-machine correlation no manufacturer will build — it's against their business model.

Built for your industry

Industry-aware AI templates with built-in compliance standards, KPI guidance, and domain expertise.

🍴

Food Production

HACCP compliance, cleaning cycle verification, temperature monitoring, traceability, digital audit trail

HACCP • FDA 21 CFR
🚗

Automotive

SPC analysis, supplier quality monitoring, PPAP documentation, process capability tracking

IATF 16949 • PPAP
🔌

Electronics

Yield analysis, defect classification, ESD event tracking, solder quality, AOI correlation

IPC • J-STD
💊

Pharma

Batch records, environmental monitoring, deviation tracking, equipment qualification

GMP • FDA 21 CFR Part 11

Chemicals

Process safety monitoring, reactor conditions, environmental compliance, hazardous material tracking

OSHA PSM • EPA

Metals & Aerospace

Metallurgy reports, heat treatment logs, NDT results, First Article Inspection automation, full traceability

ASTM • AS9100
🛠

Plastics & Injection Molding

Cycle time, reject rate, temperature drift, material lot tracking, mold maintenance alerts

ISO 294
🧵

Textiles

Fabric quality metrics, dyeing consistency, tension monitoring, color fastness tracking

OEKO-TEX • ISO 105
💡

Your Industry

Don't see yours? Connect any data source — AI auto-maps your metrics and generates reports tailored to your domain. No templates needed.

Start free trial →

Set up in 10 minutes. Not 10 weeks.

Traditional approach

  • 2-4 week scoping project
  • Hardware installation
  • $50,000–200,000 annual commitment
  • IT team required
  • 6 months to first insight
vs

ReportsAI

  • Simple form, 10 minutes
  • No hardware
  • From $99/mo after free trial
  • No IT team needed
  • First report in 10 minutes

Pricing

14-day free trial on every plan. No credit card required. No per-machine fees.

Founders' 50 — First 50 factories get Pro at $249/mo forever. Claim your spot →

Starter

$99/month

One factory site, small team

  • All 7 ingestion methods
  • 3 data sources
  • Daily AI report
  • Anomaly detection & trends
  • Ask AI (10/day)
  • Email notifications
  • 3 team members
  • 30-day data retention

Enterprise

Custom

From $1,500/site — multi-site & on-premise

  • Multiple factory sites
  • Unlimited team & retention
  • On-premise deployment
  • Air-gapped / classified
  • Compliance pack included
  • Custom integrations
  • Dedicated support

"Built by a former factory operator who ran 7 injection molding machines — trained at Arburg headquarters in Germany"

"Powered by production-grade AI proven across 6 industry domains in drone operations"

"403 automated tests. Production-grade from day one."

EASA IEC HACCP AS9100 i4Valley

ReportsAI — דוחות ייצור חכמים

המפעל שלך עבד כל הלילה. בשעה 6 בבוקר, דוח AI מחכה לך — בוואטסאפ.

מה זה?

שכבת דיווח קלה שמתחברת למקורות הנתונים הקיימים שלך — חיישנים, PLC, MES, ERP, קבצי CSV — ומייצרת דוח יומי באמצעות AI. בלי חומרה חדשה, בלי פרויקט אינטגרציה, בלי צוות IT.

איך זה עובד?

  1. צור פרויקט — שם, תעשייה, שפה. זהו.
  2. חבר כל מקור — שלח נתונים בכל פורמט. AI ממפה אוטומטית את השדות למדדים.
  3. קבל דוח בוקר — כל בוקר בשעה 6:00, דוח AI מגיע לוואטסאפ, אימייל, או Slack.
  4. שאל AI — שאל שאלות המשך בשפה טבעית. הצוות מוסיף הערות. עד 9 בבוקר, כל הסיפור שם.

8 תבניות תעשייתיות

מזון, רכב, אלקטרוניקה, פרמצבטיקה, כימיקלים, מתכות, פלסטיק, טקסטיל — כל אחת עם תקנים, KPI, והנחיות ציות מותאמות.

7 שיטות קליטת נתונים

  • REST API — שלח נתונים ישירות לנקודת קצה
  • Webhook — כתובת ייחודית לכל מקור נתונים
  • MQTT — חיבור לברוקר הודעות תעשייתי
  • OTLP — פרוטוקול OpenTelemetry סטנדרטי
  • מסד נתונים — סריקה תקופתית ממסד חיצוני
  • העלאת CSV — ייבוא קבצים ידני
  • טופס משמרת — קלט ידני מהטלפון לעובדי קו

AI ממפה אוטומטית את השדות — אפס קונפיגורציה.

תמחור

Starter: $99/חודש — 3 מקורות, 3 חברי צוות, דוח יומי
Pro: $499/חודש — ללא הגבלה, WhatsApp + Email + Slack
Enterprise: מותאם אישית — מספר אתרים, התקנה מקומית

50 המפעלים הראשונים מקבלים Pro ב-$249/חודש לצמיתות.

אקוסיסטם i4Valley

נבנה עבור חברות תיק ההשקעות של i4Valley — חממת Industry 4.0 בכרמיאל, בגיבוי רשות החדשנות.

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