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Before & After. By Industry.

See exactly
what changes
when AI goes live.

Pick your industry. See the before. See the after. Then decide.

✗  Before AI
⏱ QC inspector checks at roll-end — 120m wasted
🌙 Night shift runs with zero quality monitoring
📉 Rejection 7–9% — buyer claims every quarter
📞 Every answer needs a phone call
✓  After NeuAI
⚡ Defect flagged at exact metre in real-time
📡 Every shift AI-supervised, every anomaly logged
📉 Rejection drops to 2–4%
💬 Live data on WhatsApp in 2 seconds
Showing: Before
Industry: Textile Manufacturing
🧵 Textile Manufacturer FabricGuard — Live
01
Catching defects after they've already become losses.
✗ Before
⏱ QC at roll-end — defect already 120m in
🌙 Night shift: zero quality monitoring
📉 Rejection 7–9%. Buyer claims every quarter.
❓ No root cause visibility by loom
✓ After FabricGuard
⚡ Defect flagged at exact metre — real-time
📡 Every shift AI-supervised, every alert logged
📉 Rejection drops to 2–4%
📋 Auto QC certificates — buyer-ready
FabricGuard · Live Monitor · Line 3 · 118 m/min Loom Line 1 ● Clear · 122 m/min Loom Line 2 ● Clear · 108 m/min Loom Line 3 ⚠ Weft break · 43.2m · 97.4% Loom Line 4 ● Clear · 97 m/min ⚡ DEFECT DETECTED — Line 3 · Weft break at 43.2m · Confidence 97.4% · Supervisor notified Grade C flagged · Shift report updated · QC certificate auto-generated Shift Rejection Rate 2.1% ↓ (was 8.2%) Detection Latency <50ms · 97.4% conf Buyer QC Certificate Auto-generated ✓ Night Shift AI-supervised 24/7
−62%
Rejection
120m/min
Speed
<50ms
Latency
97.4%
Confidence
Access FabricGuard →
🐟 Aquaculture Farmer 🐟 Matsya Saathi — Pilot
02
By the time you see it in the pond, the harvest is already at risk.
✗ Before
👁 Pond checked twice daily — blind in between
🐟 DO crash at 3 AM — fish dying by 6 AM
💊 Disease: call agent, wait 2 days, too late
🌾 Feed by habit — FCR high, cost unchecked
✓ After Matsya Saathi
📡 DO/pH/temp monitored every 15 min
⚡ Crash predicted 6–10hrs early via WhatsApp
🩺 Disease risk scored daily before symptoms
📊 Feed by pond health — FCR drops 12–15%
6PM 9PM 12AM 3AM 6AM 9AM Critical ⚡ Matsya Alert — 11:40PM DO dropping. Crash by 3AM. Act now. Without AI Fish gasping found at 6AM With Matsya Saathi Aeration added at 12AM ✓ Harvest saved 7–10d Early Warning before symptoms −15% Feed Cost FCR improvement 24/7 Pond Monitoring IoT + AI Advisory Languages తెలుగు · ओडिया · বাংলা · ગુજ WhatsApp-native · No app install Expected Outcome ₹6L+ saved / pond per avoided disease outbreak
7–10d
Early Warning
−15%
Feed Cost
24/7
Monitoring
5
Languages
🏭 Indian SMB 🤖 ManasBot — Pilot
03
You're the ERP. Everything runs through you. That doesn't scale.
✗ Before
📞 Call manager for stock — wait 20 min
😤 Supplier follow-ups forgotten every day
🗄 Floor staff can't query Tally — you translate
📅 Sunday report compiled — decisions Monday
✓ After ManasBot
💬 WhatsApp query → live Tally data in 2 sec
🤖 Supplier chases automated and tracked
🌐 Any language — any staff — zero calls to you
☀️ Daily brief at 8AM — exceptions highlighted
BEFORE 📞 Call manager — wait 20 min 📞 Call store for yesterday's sales 😤 Supplier not replied — forget again ⏰ 45 min gone. Still no answer. 📅 Report ready? Sunday. Decision? Monday. ManasBot · WhatsApp aaj ka stock kya hai? Fabric A: 240m ⚠ Low Fabric B: 680m OK Ramesh ko follow-up karo ✓ Sent: "Delivery status?" ⏱ 2 seconds. No calls needed. ☀️ Morning Brief · 8:00 AM Revenue: ₹1,24,500 · ↑8% vs last week Low stock: Fabric A, SKU-44 — Reorder triggered Supplier Ramesh: 48hr no reply — Follow-up sent Invoices: 3 cleared · 1 overdue ₹18,000 हिन्दी · ગુજ · தமிழ் · मराठी · తెలుగు Any language. WhatsApp only. Zero app installs.
<2s
Response
5+
Languages
0
App Installs
24/7
Always On
📦 Semiconductor Distributor 📦 StockSense AI — Pilot
04
Dead stock doesn't announce itself. By the time you notice, it's worthless.
✗ Before
📅 Inventory reviewed monthly — EOL already hit
📉 Velocity lag — always 45 days behind
❓ EOL news from distributors, not data
💸 Panic liquidation — whatever price you get
✓ After StockSense AI
⚡ 60-day risk signal before velocity drops
🔬 Obsolescence lifecycle model per component
🤝 Buyer-match suggestions surfaced automatically
💡 Liquidation price-band — margin floor protected
Day 0 Day 30 Day 60 Day 90 EOL Day 150 Day 180 ₹14 ⚡ StockSense — Day 28 IC-NE555: 60-day risk. Liquidate now. Liquidated at ₹68/unit ✓ Margin preserved Without StockSense Still holding. Price: ₹14. Too late. IC-NE555 DEAD RISK CAP-22µF AT RISK MCU-STM32 SAFE Expected Saving ₹1.2Cr+ per EOL cycle across 4 SKUs
60d
Early Signal
₹1.2Cr
Modelled Saving
SKU-level
Granularity
🌾 Farmer / FPO 📗 Krishi Sahitya — Pilot
05
A corporate agri-business has analysts. You have a middleman and hope.
✗ Before
🧅 Mandi price from middleman — his number
🐛 Pest spotted: call agent, wait 2 days, crop hit
📋 PM-Kisan: know the name, not the process
📄 Generic advisory — not your soil or season
✓ After Krishi Sahitya
📈 Live APMC mandi price — your crop, today
📸 Photo → pest ID in 30 sec in your language
✅ Scheme eligibility — step by step, your language
🌱 Advisory specific to your crop, soil, region
🌾 🌿 🌽 Krishi Sahitya मंडी भाव: गेहूँ ₹2,180/क्विंटल ↑₹40 ⚠ Aphid risk: High Neem 3ml/L — today PM-Kisan: Jan 15 Apply by Feb 8 → తెలుగు · हिन्दी · ਪੰਜਾਬੀ · বাংলা 📸 Pest ID 🐛 Photo sent on WhatsApp Identified: Aphid (मावा) Severity: Medium Neem oil 3ml/L — spray at evening Response in 30 seconds ✓ What Changes Mandi price: direct from APMC No middleman. No delay. Your price. Pest ID in 30 sec vs 2 days Crop saved. No wrong advice. Scheme eligibility — in your language PM-Kisan, Fasal Bima — step by step 10+ Indian languages
30s
Pest ID
10+
Languages
Live
Mandi Prices
0
Middlemen

These aren't promises. They're the pilot programme.

Every scenario above is what we're building toward — and proving with our first pilot cohort. Join now, shape the product, and be first to see the results in your operation.

FabricGuard — Live 🤖 ManasBot — Pilot Open 🐟 Matsya Saathi — Pilot Open 📦 StockSense — Pilot Open 📗 Krishi Sahitya — Pilot Open
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