Many aluminium plants still rely on manual recording or disconnected systems, leading to fragmented data that is difficult to trust. A dedicated Laboratory Information Management System (LIMS) for aluminium plants is the answer to these challenges.
Labcentric introduces Clara, an intelligent AI integrated with Labcentric LIMS, designed to help laboratories, auditors, management, and R&D teams access information, analyze data, and support Quality by Design (QbD).
ISO 17025 compliance has become the benchmark for laboratory competence, ensuring that testing and calibration processes meet global standards. To achieve this, laboratories are turning to digital solutions such as Laboratory Information Management Systems or LIMS.
ISO IEC 17025 is the international standard that serves as the primary reference for laboratory competence. One of the most effective ways to comply with this standard is by implementing a Laboratory Information Management System or LIMS.
Artificial Intelligence (AI) that thinks like an analyst—not just records data like conventional Laboratory Information Management Systems (LIMS).
In recent years, Artificial Intelligence (AI) has become a hot topic across various industries. However, many companies in manufacturing and laboratory sectors remain hesitant—or even fearful—about adopting this technology. The primary concerns revolve around data security, the risk of AI "hallucinations", and the lack of transparency behind AI-generated answers.
Clara is an AI industrial assistant that goes beyond being a smart chatbot — it can monitor the entire production process in real-time, act proactively, and integrate across systems.
The real challenge lies not just in detecting NGs, but in how we respond—quickly, consistently, and based on proven knowledge from past experiences.
In the world of ERP projects—especially in the manufacturing sector—winning a tender is no longer just about price or interface design. Today’s industrial clients demand true end-to-end integration
Many manufacturing companies and laboratories in Indonesia already have well-established internal IT systems — from ERP and custom-built LIMS to database-driven dashboards. However, the biggest challenge often arises when trying to connect physical instruments such as weighing scales, spectrometers, or furnaces so that they can automatically send data to digital systems.
It still produces valid data, but the user interface is almost unusable. Rather than accept those limitations, I decided to build something better.
LIMS manages laboratory test results, while SCADA monitors and controls field production processes. Both hold critical data—but without integration, their strategic value is limited.
Implementing this standard often faces practical challenges—from manual data collection and difficulty tracking waste to the lack of systems that provide real-time visibility of environmental parameters.
Bottlenecks aren’t just about broken machines or slow processes—they’re any point in your production chain that limits overall throughput.
Many manufacturers have adopted smart technologies in production—such as SCADA systems, IoT devices, MES, and ERP platforms—laboratory operations in many companies still rely on manual data entry, spreadsheets, or disconnected software tools.
Many laboratory instruments, especially entry-level or older models, lack communication ports like RS232, Ethernet, or Wi-Fi. Instead, they are only equipped with USB ports used for exporting analysis results.
In many laboratories, especially in industries with strict data security protocols, IT policies prohibit certain instruments—particularly those still running legacy operating systems like Windows XP—from connecting directly to the network. The solution is…
The LIMS Stick looks like a typical USB flash drive, but inside is a smart system capable of transmitting data directly to your server or LIMS via Wi-Fi or Ethernet.
In the highly competitive automotive industry, efficiency and production speed are no longer advantages—they’re necessities. Quality Control (QC) laboratories play a vital role in maintaining the quality of automotive components.
MoltenPlanner helps foundries predict molten composition before melting, using AI and production data. It supports CoA import, scale and barcode integration, and connects with OES/LIMS. The result: fewer trials, faster decisions, and lower material costs.
At the heart of every successful foundry and casting product lies one crucial element: material quality. The alloy metals used must meet strict specifications to ensure the strength, durability, and performance of the final product. However, ensuring consistent quality across the supply chain and production process is a complex challenge.
In the foundry and casting industry, quality is everything. A single defect in a casting component can lead to massive losses—from rework costs and production delays to product recalls that damage your brand reputation. The real question is: how can we detect potential defects early, even before they escalate?