
Intellegens is a UK-based company specializing in applied machine learning for R&D. Their core offering is the Alchemite™ Suite, a set of AI tools designed to accelerate innovation by helping…

Intellegens is a UK-based company specializing in applied machine learning for R&D. Their core offering is the Alchemite™ Suite, a set of AI tools designed to accelerate innovation by helping…
Founded: 2017
Core product: Alchemite™ Suite — ML for sparse, noisy R&D data
Headquarters: Cambridge, UK
Sectors: Materials, chemicals, life sciences, manufacturing, FMCG
Recent funding: £1.6M Innovate UK grant (Aug 22, 2023)
Accelerating R&D and optimisation in materials, chemicals, life sciences, FMCG and manufacturing by extracting predictive models from limited or noisy experimental/process data.
2017
Data and Analytics
£1,600,000
Disclosed as an Innovate UK grant
2037020 USD (total disclosed)
Total funding amount reported in company snapshot
“Participated in the ATI Boeing Accelerator which included a £100,000 equity investment from Boeing HorizonX Ventures; received grant funding from Innovate UK”
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The opportunity
We are looking for a motivated and customer-focused Customer Success to help our customers successfully adopt and scale our machine-learning platform Alchemite. This role sits at the intersection of customers, product, and commercial, helping large enterprise customers adopt, expand, and scale their use of our platform to ensure complex technical solutions deliver real and lasting value.
You will be customer focused and help guide implementations, support ongoing usage, and help shape how our technology is applied in real-world environments. This is an excellent opportunity for someone early in their career who enjoys working with people, travelling, solving problems, and learning about cutting-edge technology.
Main duties and responsibilities
Essential requirements
Desirable requirements
The above is not an exhaustive list and you are required to be flexible in your approach to carrying out your duties which may change from time to time in order to reflect business needs or the company’s continuous improvement. Intellegens is committed to providing training and development opportunities as part of the role to grow the technical, communication, and scientific skills of the successful candidate.
What can we offer you?
About Intellegens
With Intellegens, you can apply advanced machine learning to find new product and process solutions, get products to market faster, and break through R&D bottlenecks. The Alchemite™ Suite offers a series of easy-to-use apps focused on key challenges for scientists, experimentalists, data scientists, or their managers. Unlock insights hidden in your data and guide decision-making to reduce experimental workloads by 50-80%. Share results and collaborate across R&D teams.
Originally developed at the University of Cambridge, the Alchemite™ algorithm offers unique capabilities for handling real experimental and process data. Since 2017, Intellegens has further advanced the method, implemented software solutions that enable it to be applied to solve practical problems in industrial R&D, and developed deep experience of such applications through hundreds of projects. The strengths of Alchemite™ include its ability to train machine learning models on sparse and noisy data, where other machine learning methods typically fail, and accurate uncertainty quantification, enabling effective decisions.
The Intellegens team of expert scientists, software engineers, and commercial staff is based in its new Cambridge Headquarters at Chesterton Mill. Its record of innovation and customer success led to it being awarded ‘AI Company of the Year’ in the Cambridge Independent Science & Technology Awards, 2023, selected from a very strong peer group of scientific software and research businesses in the Cambridge ‘Silicon Fen’ region. Successful applications of Intellegens technology have included alloys, specialty chemicals, plastics, paints, coatings, cosmetics, food and beverages, drugs, biopharmaceuticals, batteries, and optimising manufacturing processes.
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