G-code and M-code generation, tool wear prediction, cycle time optimization, quality inspection
automation.
🏗️
Information Processing
AI handles design coordination, sales and procurement automation, export documentation, and scheduling intelligence.
Industry Reality
Manufacturing Operations Are Under Pressure
Six challenges eroding margins across Indian manufacturing operations today.
Critical
⚡
Rejection Variability
Heat-to-heat defects with seemingly identical parameters. Hidden root causes
across thousands of data points.
High Risk
🧠
Knowledge Concentration
Critical process knowledge locked with one or two people. Experienced manpower
shortage compounds the risk.
High Cost
⚙️
Energy Consumption
kWh/ton varies 15–25% between shifts. Visibility alone drives 5–8% savings per
heat.
Urgent
🔧
Reactive Maintenance
Firefighting failures instead of predicting them. One furnace stoppage = ₹8–15L in
lost output.
Gap
📊
Data Silos
Insights trapped in Excel & SCADA logs. Fragmented manual processes with no
actionable intelligence.
Scaling Risk
📉
Capacity Underutilisation
Medium foundries operate at 40–50% capacity. Power and material gaps compound
scheduling losses every shift.
ROI Analysis
Financial Impact
Illustrative scenario — ₹75 Cr turnover casting company. Your Diagnostic will use your actual data.
Current Scrap Rate 6%
₹4.5 Cr loss
Conservative (1.5% reduction)
₹2.75 Cr
Target (3% reduction)
₹2.25 Cr
Based on industry benchmarks. Refined with your actual data during Diagnostic.
6%
Current Scrap Rate ≈ ₹4.5 Cr annual loss
3%
Target Scrap Rate Post AI deployment
₹2.25Cr
Annual EBITDA Gain Direct bottom-line
<6 mo
Pilot Payback Period Conservative estimate
Get Started
Let's Begin With A Conversation
A 60-minute session about your data. No commitment — just clarity on what AI can do for your specific operation.
01
Diagnostic
2–3 weeks · We analyze your data first
02
Select Pilot
One high-impact area · Minimal disruption
03
Measure
Validate against financial outcomes · Real-time dashboards
04
Scale
Expand based on proven results only
Contact Us
AI's Real Footprint Across Industries
Data from the Anthropic Economic Index (March 2026) shows which sectors AI is already penetrating — and the large gap that remains to be captured.
Source: Massenkoff & McCrory, "Labor market impacts of AI: A new measure and early
evidence," Anthropic, March 2026. Read full report →
The Gap Is the Opportunity
The blue area shows what AI theoretically can do. The red shows actual deployment. For
most industries, actual use is less than 30% of theoretical potential — including manufacturing.
Multi-fold White-Collar Productivity Gains
Business & Finance, Computer & Math show the highest observed AI exposure. This translates
directly to casting management tasks: design, procurement, export documentation, planning, quality reporting.
No Unemployment Spike Yet
Despite high theoretical exposure, the research finds no systematic rise in
unemployment for AI-exposed workers. The current era is about augmentation and productivity — not
displacement.
Early Movers Gain the Edge
Occupations with higher AI exposure are projected to grow less. Foundries that use AI
to boost output per worker will outcompete those who wait. The window is now.
Core Framework
Perceive. Reason. Act.
Agentic AI doesn't just answer questions. It continuously monitors your plant, finds patterns, and takes intelligent action — within boundaries you define.
01
Perceive
Ingests data from SCADA, ERP, spectrometers, shift logs, and sensor feeds in
real-time. Builds a continuous digital picture of your operation.
02
Reason
Applies casting-domain intelligence to detect patterns, correlate root causes
across thousands of variables, and forecast outcomes before they occur.
03
Act
Generates alerts, recommendations, and — where approved — autonomous adjustments.
Always within safe, pre-defined operating boundaries. Always human-overridable.
LIVE
— HEAT #4427
⚠ HIGH — Shrinkage Risk
Logging
Active
Silicon Content
Pouring Temp (°C)
Material Moisture
Nitrogen in Charge Mix
Shrinkage porosity risk detected — confidence 87%
Recommended Action
Reduce pouring temp by 12°C. Pre-dry material batch for 8 min. Adjust charge mix — reduce scrap Lot B by
15%.
Clearing the Air
AI Is Not Just Chat GPT
What modern AI actually does in a manufacturing context — versus the misconceptions holding manufacturing companies back.
Common Misconceptions
Just a smarter search engineLimited to keyword lookup and basic Q&A
Only works as a chatbotNo integration with manufacturing systems
Needs clean, perfect dataUnusable with real-world messy datasets
Not for manufacturingCannot be deployed on the production floor
What AI Actually Does
Advanced Pattern RecognitionFinds root causes across 1000s of data points
simultaneously
Predictive ForecastingPredicts rejection, failures & energy spikes before they occur
Decision SupportRecommends optimal actions after process data analysis
Continuous LearningGets smarter with every heat, every shift, over time
Architecture
How It Works
Sits on top of your existing data — no rip and replace. Zero disruption to current operations.
Your Data Today
SCADA Historian
Shift Log Books
Spectrometer Outputs
Material & Process Properties
Excel Data & ERP Reports
AGENTIC AI LAYER
Intelligence Engine
• Continuous learning
• Pattern recognition
• Root cause analysis
• Predictive alerts
• Autonomous actions
Outputs to Your Team
2–3% Rejection Rate Reduction
Fewer defects per heat
5–8% Energy Saved
Per ton of good manufacturing
48–72hr Warnings
Fewer unplanned stoppages
Real-time Dashboards
Live data, not end-of-day
Knowledge Preserved
Best practices every shift
Pilot Use Cases
Four AI Applications
Purpose-built for manufacturing operations — each designed to prove value on your actual data first.
Rejection Reduction
Data Inputs
📊 Charge Mix & Spectrometer Results
⚙️ Material & Process Parameters
🌡️ Cycle & Melt Parameters (temp, tap, hold)
Predictive Output ⚠ HIGH — Shrinkage Risk
Root Causes Identified: • High Nitrogen in charge mix • Pouring
temp < 1380°C • Moisture variance > 5%
2–3%
Rejection Reduction
Real-time
Prediction Speed
₹2.25Cr
Annual Saving
Export Documentation
The Pain Today
📄 5–8 documents per shipment, prepared manually
⏱️ 4–6 hours of team time per consignment
❌ Errors in HS codes, port codes & buyer details
🌍 Cross-checking compliance across 10+ country rules
What You Gain
AI reads order data →
Auto-selects HS codes → Generates all docs → Validates against IEC, DGFT & LC terms → Flags exceptions for
human review
90%
Less prep time
<10min
Full doc set
10+
Country rules
Zero
Manual errors
Predictive Maintenance
Monitored Signals
🌡️ Furnace lining temps & cooling parameters
📈 Vibration signatures on motors & fans
📉 Deviation patterns from historical baseline
Outcomes
Improved spare parts
planning. Fewer unplanned stoppages. Shift from reactive firefighting to predictive maintenance culture.
48–72hr
Advance warning
₹8–15L
Saved per stoppage
30–45%
Downtime reduction
₹1–2Cr
Annual saving
Energy Optimization
Tracked Metrics
⚡ kWh costs linked to specific batches
📊 Tap-to-tap variance by shift & operator
🔍 Abnormal usage during non-production hours
Energy Intelligence
Improved load factor &
cost transparency per kg of manufacturing. Real-time alerts on energy spikes. Shift-level benchmarking to drive
operator accountability.
5–30%
Energy savings
Per heat
Granular visibility
ROI-Driven
A Low-Risk, Phased Approach
Value proven before scaling. Human-in-the-loop at every stage — AI proposes, your team decides.
Phase 0
Diagnostic
2–3 Weeks
Analyze your existing data infrastructure
Map operational bottlenecks — rejection, or any other pain point
Deliver ROI estimate with your actual data
Phase 1
Pilot
2–4 Months
Deploy in one high-impact area
Rejection, Energy, or Maintenance focus
Prove value with your real data
Phase 2
Scale-Up
3–6 Months
Expand to additional production lines
Integrate deeper workflows and systems
Based on validated, proven results only
Value Analysis
Where AI Moves the Needle
Core impact areas and value drivers across manufacturing production operations.
Design & Development
Very High
Impact: Critical
Manufacturing and Pattern Design occupies significant time. AI accelerates simulation and
design iteration dramatically.
Rejection & Rework
4–8% revenue
Impact: High
A 2% reduction alone delivers significant value to your EBITDA. AI identifies root causes across
thousands of process variables.
Energy Consumption
5–30% saved
Impact: High
Visibility alone drives 5–8% savings. Autonomous burner control can achieve 30%. kWh
per ton linked to specific batches.
Unplanned Downtime
₹8–15L/stop
Impact: Med-High
One furnace stoppage = ₹8–15L in lost output. AI delivers 48–72hr advance warnings
with 95% hotspot accuracy.
White-Collar Productivity
Multi-fold Increase
Impact: High
AI handles design coordination, procurement automation, export docs, scheduling, and compliance reporting — delivering a multi-fold increase in white-collar productivity.
Working Capital
15–20% reduced
Impact: Medium
Optimizing production schedules and raw material ordering based on AI forecasts
reduces inventory holding costs considerably.
Our Advantage
Domain Depth Meets Digital Intelligence
What makes this different from every other AI vendor — We know foundry operations.
01
4 Decades of Domain Expertise
Deep casting technology knowledge
We know foundry operations
Shop floor realities — not just theory
02
AI Engineering & Automation
Deployed AI in complex industrial settings
Models built for noisy, variable real data
Not clean lab datasets
03
ROI-First Methodology
Business case before any code is written
Targets tangible financial outcomes
You can verify results independently
04
Smart Manufacturing + AI Integration
Translate operational intuition into data
Consistent quality across every shift
Institutional knowledge — not individual memory
Implementation Team
The People Behind the Platform
A rare combination of deep foundry expertise and cutting-edge AI engineering — under one roof.
Abijit Bhattacharya
Domain Lead
BE Metallurgical Engineering. 4 decades of extensive experience in metal casting
industry. Deep knowledge of casting processes, defect analysis, and process optimization.
In-house AI Team
Dedicated professionals with extensive experience in delivering Agentic AI solutions at scale.
Governance
Built for Trust, Not Just Technology
Enterprise-grade governance & risk management. AI proposes — you decide. Always.
📋
Logging Active
Full Audit Traceability
Every prediction logged with timestamp & confidence score. Complete transparency at all
times.
