Applied machine learning - intellegens

Advanced Machine Learning

Proven for optimising materials, chemicals, paints, drugs, foods, personal care products, and more.

Save time and cost

Achieve R&D project goals with up to 90% fewer experiments

Value from real-world data

A method that works for sparse, noisy data where other machine learning approaches fail.

Easy Design of Experiments

Cut experimental workloads so that you can work on the things that matter most.

Accelerate innovation for materials, chemicals, manufacturing, and beyond.

Find out how Alchemite™ machine learning could accelerate your innovation.

Case Studies

Machine learning applied to accelerate industrial R&D and optimise manufacturing.

Yili food formulation case study

Yili food formulation case study

Developing food formulations at Yili

Catalysts for clean air and life science at Johnson Matthey

Material and component design with NASA

Formulation design with Domino Printing Sciences

Predicting pharmacokinetics with Optibrium and AstraZeneca

Design of a nickel-base superalloy with Rolls-Royce

Project MEDAL - AMRC Boeing Constellium GE Additive

Project MEDAL - AMRC Boeing Constellium GE Additive

Data-driven Additive Manufacturing: AMRC, Boeing, Constellium, GE Additive

Improving steel performance with OCAS (ArcelorMittal)

Optimising kinase profiling programs with Optibrium and Genentech

Latest News & Blog

Ben Pellegrini, CEO of Intellegens, and Nick Parry, MPI’s Group Manager – Industrial Digitalisation

Materials Processing Institute adopts machine learning tool to accelerate steelmaking innovation

MPI has announced a long-term collaboration with Intellegens

Book Chapter: ‘Adaptive Experimental Design’

Book Chapter: ‘Adaptive Experimental Design’

Publication (Sep 2024): Explaining adaptive experimental design for product formulation.

Nobel musings

Nobel musings

Blog (Oct 2024). It’s been a momentous few weeks for the community involved in applied machine learning (ML), with the field being recognised by not one, but two Nobel Prizes.

Webinars & White Papers

Webinar (12 Nov) – Empowering advanced material and process development with machine learning

Webinar (12 Nov) – Empowering advanced material and process development with machine learning

Webinar (12 Nov):

Recorded webinar – The fast track to better formulations with machine learning

Recorded webinar – The fast track to better formulations with machine learning

Recorded webinar: save experimental time and cost and find optimal formulations.

Machine Learning for Adaptive Experimental Design

Machine Learning for Adaptive Experimental Design

White Paper. Applying machine learning to guide iterative design of experiments typically results in 50-80% fewer experiments than using traditional DOE.