Now live — Pidilite Polymerization Intelligence Pilot

Industrial Intelligence
That Delivers Action

AriPrus combines deep industrial domain expertise with Agentic AI to move your operations from reactive firefighting to autonomous, data-driven decision-making.

30% Downtime Reduction
20% Maintenance Savings
14+ Enterprise Clients
ARILINC™ · PROCESS INTELLIGENCE LIVE
94.2%
OEE Score
62 cP
Viscosity
98.1%
Solid Content
Agentic AI Recommendation: Viscosity trending above threshold — reduce monomer feed rate by 3.2% to maintain product spec.

Trusted by industry leaders across India & North America

Tata Projects Pidilite Praj HiPurity Escorts Kubota CDW Softura Faclon Global Pumps Dhake Industries Infintrix Tata Projects Pidilite Praj HiPurity Escorts Kubota CDW Softura Faclon Global Pumps Dhake Industries Infintrix
0%
Downtime ReductionAcross asset-intensive operations
0%
Maintenance Cost SavingsVia predictive & condition-based AI
0%
Energy Efficiency GainThrough process optimization
0+
Enterprise DeploymentsAcross 7 industries globally

AriLinc™ Platform

Built for Industrial Reality.
Designed for Outcomes.

Most platforms stop at dashboards. AriLinc™ goes further — from data ingestion to autonomous recommendation, closing the loop between insight and action.

Unified Data Foundation

Connect sensors, PLCs, SCADA, historians, ERP, and CMMS into a single contextual data layer — no data silos.

SCADA / OPC-UA SAP Integration Edge IoT

AI-Driven Intelligence

Predictive analytics, anomaly detection, degradation modeling, and health index scoring — deployed on your domain data.

Anomaly Detection RUL Estimation Root Cause AI

Agentic Recommendations

Autonomous AI agents that don't just detect issues — they reason, plan, and recommend corrective actions in plain language.

LLM-Powered Multi-Agent Action Loops

Process Quality Intelligence

Real-time in-process quality monitoring — viscosity, solid content, pH, temperature — reducing lab dependency and batch failures.

In-process QC Soft Sensors SPC / SQC

Asset Reliability & Maintenance

Move from reactive to predictive maintenance with health indices, failure-mode modeling, and work-order automation via SAP PM.

CBM SAP PM FMEA AI

Enterprise Integrations

Pre-built connectors for SAP, MES, CMMS, cloud platforms, and legacy historians — deploy in weeks, not months.

SAP EAM Azure / AWS MES / MOM
🟢  Live Pilot · June 2026

Pidilite Polymerization Process Intelligence

AriPrus has been selected by Pidilite Industries Ltd — India's leading adhesive manufacturer — to deploy in-process quality intelligence for their polymerization lines. This pilot measures real-time Viscosity and Solid Content %, replacing periodic lab sampling with continuous AI-driven quality assurance.

View Case Studies
Client
Pidilite Industries Ltd, Mumbai
Process
Polymerization Intelligence
Parameters Monitored
Viscosity · Solid Content %
Status
✓ Confirmed · PO by Jul 10, 2026
Value Delivered
Continuous in-process QC · Reduced lab sampling · Real-time batch control

Industry Solutions

Purpose-Built for Every Industry

Deep domain AI — not generic analytics. Each solution is engineered around the specific processes, failure modes, and quality parameters of your industry.

ARILINC™ AGENTIC AI · LIVE SESSION
ORCHESTRATOR
Analyzing polymerization batch PID-2024-06. Viscosity deviation detected — initiating root cause analysis across 3 sub-agents.
PROCESS ANALYST
Monomer feed rate increased by 4.1% at T-minus 18 min. Reactor temperature drifted +2.3°C above setpoint. Correlation confidence: 94.7%.
QUALITY AGENT
Projected solid content at batch end: 61.2% vs. spec 63–65%. Off-spec risk if no intervention within 12 minutes.
ACTION AGENT
Recommendation: Reduce monomer feed rate by 3.2%. Lower jacket cooling temp by 1.5°C. Re-sample viscosity in 8 min. Estimated recovery: ✓ on-spec.

Agentic AI

From Insight to Action — Autonomously

AriLinc™'s multi-agent AI doesn't just surface alerts. It reasons across your process data, identifies root causes, and recommends specific corrective actions — in plain language your operators can act on immediately.

Multi-Agent Reasoning

Orchestrator + specialist agents collaborate on complex process deviations — just like your best engineering team, available 24/7.

Natural Language Recommendations

Actions delivered in operator-friendly language — no data science training required to act on AI insights.

Closed-Loop Action

Connect recommendations back to SCADA, SAP PM work orders, or operator consoles — closing the loop automatically.

Explore Agentic AI →

Customer Voice

Trusted by Operations Leaders

Hear from the COOs, DGMs, and plant managers who've transformed their operations with AriPrus.

"AriPrus enabled real-time operational visibility across our plants, helping us reduce downtime and improve asset utilization significantly. Their domain depth set them apart."

TC
T. Cherian
COO, Tata Projects

"AI-driven insights from AriPrus accelerated our digital transformation journey. The platform helped us move from reactive operations to predictive decision-making within months."

SV
Sanjay Verma
DGM, Escorts Kubota Ltd

"AriPrus brought strong domain understanding combined with a scalable IIoT architecture. Their approach helped us standardize data and unlock actionable insights across operations."

TB
Tarang B.
DGM, AEL

Ready to Move Beyond Dashboards?

Start with a focused 6–8 week pilot on your highest-priority process. See measurable ROI before full deployment.