Automation Dashboard

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HAMBURG, DE

21:43:20

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Aleph Technologies

Developer of an AI-powered : Platform designed to enhance process manufacturing efficiency by diagnosing performance inconsistencies and optimizing production.

VISIT SITE ↗

/METRICS

TECH MATURITY

2/5

RELEVANCE

3/5

/METRICS

TECH MATURITY

2/5

RELEVANCE

3/5

/INFORMATION

COUNTRY

Singapore

FUNDING STAGE

Seed

KEY OFFERINGS

Aleph AI Co-Pilot: A reinforcement-learning software with digital twins identifying process inconsistencies, simulates performance, cut energy costs, and reduce emissions in chemical plants, industrial manufacturing etc,. The system integrates seamlessly with DCS, SCADA, PLC, ERP, historians like OSI Pi/IP21, and process models (AspenPlus, UniSim), auto-building hybrid digital twins that self-calibrate and update with plant changes. Proactive alerts prevent variabilities causing millions in losses, with closed-loop options writing back to control systems for full automation.

/INFORMATION

COUNTRY

Singapore

FUNDING STAGE

Seed

KEY OFFERINGS

Aleph AI Co-Pilot: A reinforcement-learning software with digital twins identifying process inconsistencies, simulates performance, cut energy costs, and reduce emissions in chemical plants, industrial manufacturing etc,. The system integrates seamlessly with DCS, SCADA, PLC, ERP, historians like OSI Pi/IP21, and process models (AspenPlus, UniSim), auto-building hybrid digital twins that self-calibrate and update with plant changes. Proactive alerts prevent variabilities causing millions in losses, with closed-loop options writing back to control systems for full automation.

/USE CASES

Oleochemical Plant: Aleph built a digital twin model for energy use spiked in distillation columns due to wrong settings like reflux ratio and reboiler heat, spotted the fixes, and cut energy per product by 33%. Use cases in Pharmaceutical include (optimizing drug production yields and consistency via deviation detection in batch processes), Metals Processing (simulating furnace/rolling mill conditions to cut energy waste and emissions), and general process manufacturing (early prediction of variabilities in refineries or food processing to avoid multimillion losses).

/USE CASES

Oleochemical Plant: Aleph built a digital twin model for energy use spiked in distillation columns due to wrong settings like reflux ratio and reboiler heat, spotted the fixes, and cut energy per product by 33%. Use cases in Pharmaceutical include (optimizing drug production yields and consistency via deviation detection in batch processes), Metals Processing (simulating furnace/rolling mill conditions to cut energy waste and emissions), and general process manufacturing (early prediction of variabilities in refineries or food processing to avoid multimillion losses).