Industrial chemical plant with AI optimization overlays
Series A — $42M raised

The AI operating layer for industrial manufacturing.

AURIX continuously monitors chemical, pharma and process plants — predicting failures, optimizing yield, and acting like a senior process engineer that never sleeps.

1.4%
Avg yield uplift
₹38Cr
Saved p.a. per plant
92%
Failure precision
<200ms
Decision latency
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/ Architecture

Four layers. One brain for the plant.

Built by chemical engineers and ML researchers — not generic dashboards.

01

Data Collection

Native connectors for SCADA, DCS, PLCs, IoT sensors, MES, ERP and historian databases. Plug into any plant in days.

OPC-UAModbusKafkaMQTT
02

Data Infrastructure

Streaming pipeline on Kafka + TimescaleDB + Spark. Petabyte-scale time-series storage purpose-built for industrial telemetry.

TimescaleDBFlinkS3 lakeFastAPI
03

AI Intelligence Engine

Predictive maintenance, anomaly detection, yield + energy optimization, and batch quality prediction — trained on your plant.

PyTorchRLBayesian OptMLflow
04

Digital Twin

A virtual replica of your plant for simulation, what-if testing, operator training, and autonomous closed-loop control.

Sim-to-realClosed loopOperator XR
/ AI Modules

Six engines. One copilot.

Each module is production-grade and deployed at real chemical plants today.

Predictive Maintenance

Predict pump failures, motor overheating, valve leakage and rotating equipment degradation 7–14 days in advance.

Yield Optimization

Reinforcement learning + Bayesian optimization to maximize yield and purity while minimizing energy.

Anomaly Detection

Catch catalyst poisoning, fouling and unsafe drift before they cascade into failures.

Energy Optimization

Optimize steam, heat exchangers, cooling and utilities — cut operational costs by 8–15%.

Batch Quality

Predict final batch purity hours before completion. Intervene before you scrap a batch.

Autonomous Control

Phase-4 closed-loop optimization that runs your plant within engineer-defined safety envelopes.

/ Digital Twin

Run a thousand what-ifs before changing a single setpoint.

A high-fidelity virtual replica of your plant. Test new operating conditions, train operators in safe sandboxes, and let the AI search for optimal recipes — then deploy to the real plant with full audit trail.

98.7%
Sim fidelity
12,400
Recipes/day
1,800+
Setpoints
47
Plants live
Digital twin of a chemical reactor
Reactor Fault Analysis

An Aspen-grade twin, wired to a real AI engineer.

Pick a unit, inject a real-world problem, and stream live process telemetry through our API. The copilot reasons over your live data and any simulator you connect — Aspen Plus, HYSYS, DWSIM, gPROMS or our native engine.

/ Roadmap

From dashboard to autonomous factory.

Phase 1
Analytics & Monitoring

Real-time dashboards, plant-wide observability.

Phase 2
AI Recommendations

Predictive alerts, yield + energy suggestions.

Phase 3
Semi-Autonomous Optimization

Closed loop within human-defined envelopes.

Phase 4
Industrial Operating System

Full autonomous process control across the factory.

/ Pricing

Built for plants that measure ROI in crores.

Even a 1% optimization improvement saves crores annually.

Plant
₹15L/yr

Single small plant. Monitoring + predictive alerts.

  • Up to 500 sensors
  • Predictive maintenance
  • 8×5 support
Request pilot
Most deployed
Enterprise
₹80L/yr

Mid-size pharma & specialty chemicals.

  • Unlimited sensors
  • All AI modules
  • Digital twin
  • 24×7 support
Request pilot
Industrial OS
₹1–10Cr/yr

Multi-site autonomous control.

  • Closed-loop control
  • Custom AI models
  • Onsite engineers
  • SLA 99.99%
Request pilot
/ Long-term vision

The next generation of trillion-dollar AI companies will emerge from physical industries — not consumer chat apps.

AURIX is becoming the AI operating layer for industrial manufacturing globally — turning data-rich, operationally inefficient, massively valuable factories into autonomous, self-optimizing systems.

Start your pilot