Supplier List under Agrochemicals Category

FURTHResearch GmbH & Co. KG

FURTHRresearch - making data handling in in research simple, reliable, and transparent

Data handling is always a nightmare to researcher, especially when the project involves several equipment or several design iterations. In addition, as researchers are now facing much more complicated problems, there is no time to tangle around with data. Studies showed that researchers usually spend more than 50% of their research time dealing with data and information tasks . How to systematically deal with massive, unclassified raw data from different kinds of experimental equipment without loss of user-defined flexibility? Electronic Laboratory Notebook (ELN) is incapable of calculating and processing data. Laboratory Information Management System (LIMS) is either too complicated or has only limited application.

FURTHRmind is the solution we provide to the problem. Researchers are able to record, calculate, and process all experimental data in the same place, leading to fast data visualization and easy comparison. In addition, without traditional folder structure, which often causes confusion within team members and becomes chaotic as the project expands, all data will be stored and updated immediately in FURTHRmind to ensure that all members will be on the same page anytime.

SmartNanotubes Technologies GmbH

SmartNanotubes Technologies GmbH has developed the first micro power multi-channel gas detector chip for the mass market. The sensor elements contain fine-tuned nanomaterials which make the chip highly sensitive, energy-efficient, compact and low-cost. It can detect multiple gases and volatile organic compounds (VOCs). Use cases range from environmental and security applications, home and industrial safety to wearables and IoT lifestyle products. Furthermore, the multi-channel gas detector chip can easily be integrated into different appliances.

The Yellow SiC Holding GmbH

We also produce yellow high purity cubic silicon carbide (3C-SiC) in larger quantities.

At The Yellow SiC Group, we have developed a patented process to industrially produce high purity (<1ppm impurities) 3C SiC. There are several applications for this material (e.g. the use for power semiconductors).

DeepMatter Group Plc

DeepMatter Group Plc is a big data and analysis company which has built a platform - DigitalGlassware™, focused on enabling reproducibility in chemistry. It continues to develop this software to deliver applications resulting in new optimised chemicals, materials and formulations in such commercially significant areas as pharmaceutical research, fine chemicals, scientific publications and teaching. DeepMatter is at the forefront of the digitization of chemistry, which will ultimately see the enabling of an autonomous synthesis engine, the Chemputer™.

Phaseform GmbH

Phaseform is a deep-tech spin-off from the Laboratory for Micro-optics from the Department of Microsystems Engineering (IMTEK) of the University of Freiburg in Germany.

Phaseform develops next-generation Adaptive Optics systems based on innovative hardware components and software.

We aim to bring scalable and easy-to-use solutions to a wide range of imaging and beam shaping applications.

INOPSYS

Inopsys provides mobile & modular side stream on-site solutions for the chemical and pharmaceutical industry, to purify water or solvents and recover valuable components.

Chemical.AI

Founded in 2018, Chemical.AI is one of the technology leading companies leveraging Artificial Intelligence (AI) and big data to transform research and development to shape the future of chemistry. Core product ChemAIRS boosts success rates in synthesis route design and prediction with diverse synthesis strategies. In 2021, Chemical.AI also established an AIoT automation lab in Shanghai to bring dry lab and wet lab together to provide more professional and efficient chemical synthesis services to the industry.

Better Basics Laborbedarf GmbH

Better Basics Laborbedarf GmbH, a spin-off from the Leibniz-Institute for Polymer Research Dresden, develops, manufactures and sells smart basic equipment for laboratories. The production, prototyping and serial production, is carried out via 3D printing. The innovative products are protected by various industrial property rights. Better Basics Laborbedarf revolutionizes the organization of laboratory workstations and the way basic laboratory work is carried out, which leads to an improvement in workplace safety and an increase in the efficiency of the laboratory staff. The products of Better Basics Laborbedarf will be established as standard equipment for every laboratory. The market for analog laboratory equipment is a Billion-Euro-Market with continuous strong growth and high margins. The management team possesses very complementary skill sets and is supported by an experienced team as well as an extensive external network.

SciFlow GmbH

SciFlow brings researchers closer together in one of their core activities: writing. Our goal is to enable researchers to work together as if they were sitting in the same office.

Researchers can write, review, and most importantly publish their scientific texts in SciFlow.

SciFlow allows researchers to focus entirely on writing. Therefore, it provides exactly the functionality that researchers need to write their texts - no more and no less.

PANDA GmbH

Our Mission:

We make an easy tool available to the employee of a production, which enables him or her to detect complex correlations per pattern recognition within processes of production, to monitor critical effects in real-time and to raise disposability and quality of production itself immediately. We call this fusion of hardware, software and most recent algorithms '​'Signal Empowering Technology'​'​. The incredibly easy usage of this most complex technology moves our ideas forward

Our Story:

It all began 2016, when the unsupervised pump cellar of the Helmut-Schmidt-University (HSU) in Hamburg caught fire. The question arose quickly at the „Institut für Maschienelemente und Rechnergestützte Produktentwicklung", short MRP, whether this could have been prevented by the/a proper monitoring technology. We also wanted to know, where these products were available and which methods of data science they would use for this purpose. After a thorough research we came to the conclusion, that former obtainable products were not only technically unsatisfactory, but also all known AI Methods not functional for this kind of use case and additionally every required infrastructure way too expansive.