Learns from sparse and noisy experimental data, which is what R&D produces.
LicensingIn marketSupplier
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Updated Sept 24, 2026
Artificial intelligence and machine learning covers models applied to an industrial or scientific problem. On Halo, the solutions cover AI for R&D and formulation, AI in health and consumer products, vision on a factory line, and digital twins of a process. Sign up to search the full network and post your specific need.
AI for R&D and formulation
BP
Intellegens
The same engine sold as machine learning software for materials work.
LicensingIn marketSupplier
KS
Reads lab data and proposes the next polymer or coating formulation.
Co-developmentIn marketStartup
ME
Queen Mary University of London
Automates the formulation work a development scientist does by hand.
Co-developmentIn marketUniversity
AM
Universitat de Barcelona
A formulation engine built specifically for food industry R&D.
In marketUniversity
AA
Product lifecycle management rebuilt around chemistry, AI-native throughout.
LicensingIn marketStartup
Ploid AI
Multiomics analysis assembled into one platform.
Pilot or trial engagementIn marketStartup
AI in health and consumer products
Ambient AI writing the clinical note, and staying HIPAA compliant.
Gift/awardIn marketStartup
AI diagnostics built for trichologists, transplant clinics and brands.
Sponsored researchIn marketStartup
Follicular density and growth read automatically off trichoscopic images.
Sponsored researchIn marketStartup
DY
Cogwear, Inc.
EEG hardware giving neurodata in real time, outside a laboratory.
Pilot or trial engagementIn marketStartup
An emotional AI platform with governance designed in from the start.
Sponsored researchIn marketStartup
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Who is working on artificial intelligence & machine learning
Organizations in artificial intelligence & machine learning
Universities, startups, and suppliers with solutions in artificial intelligence & machine learning.
Artificial intelligence companies
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Innovators in artificial intelligence & machine learning
Researchers and inventors advancing artificial intelligence solutions.
Artificial intelligence expertsAbout artificial intelligence & machine learning
Almost nothing on Halo is a model for its own sake. Seven entries accelerate formulation and materials R&D, four put vision on a production line, four build a digital twin of a process, and the rest apply the same tools to clinical documentation, scalp imaging or a consumer panel. On Halo it spans six groups, including AI for R&D and formulation, AI in health and consumer products, and vision on a factory line.
Stage of development. Work on artificial intelligence & machine learning on Halo comes mostly from companies. 54% of the solutions are in market. Licensing and co-development are the usual partnering routes, and about 39% of the solutions that state terms offer pilot engagements.
Three trends in artificial intelligence solutions on Halo
AI arrives as an R&D accelerator. Seven entries apply models to formulation and materials discovery: learning from the sparse and noisy data an experiment actually produces, proposing the next polymer, automating what a formulation scientist does by hand, and a product lifecycle system rebuilt around chemistry. The customer is a laboratory, not a software team.
Two digital twins of one food plant. Two entries offer an AI digital twin for predictive process optimization in food manufacturing, arriving independently from a US university and an Indian company, and a third does the same for manufacturing generally. Where a process is instrumented but poorly modeled, the twin is the product everybody reaches for.
Vision goes where the work happens. Four entries put a camera on a line and act on what it sees: plant-owned inspection a factory configures itself, real-time feedback closing a quality loop, vision joined to IoT data, and a scrap sorter driving air jets. Detection alone is commodity, and each of these is sold on what happens after the detection.
1,504organizations
1,588solutions listed
89%from startups and companies
54%in market
Frequently asked questions
What are artificial intelligence solutions?
Artificial intelligence and machine learning covers models applied to an industrial or scientific problem. It spans AI for R&D and formulation, vision systems on a factory line, digital twins of a running process, agents and knowledge retrieval, applications in health and consumer products, and the physical and sensory systems built on top. Manufacturers, R&D teams and product companies are the buyers.
What are examples of artificial intelligence solutions?
Five examples of artificial intelligence solutions on Halo include:
- Learns from sparse and noisy experimental data, which is what R&D produces. (Intellegens)
- Ambient AI writing the clinical note, and staying HIPAA compliant. (ezScribe LLC)
- Vision inspection a plant sets up itself, across the whole factory. (BCD iLabs)
- A digital twin with simulation and prediction, running in real time. (Mareana, Inc.)
- Graph retrieval with an ontology layer underneath it. (Prodigy AI Solutions)
What are the latest artificial intelligence innovations?
The most recently updated artificial intelligence solutions on Halo include:
Which companies and suppliers are developing artificial intelligence solutions?
There are 1,504 organizations with artificial intelligence solutions on Halo, and companies outnumber university labs. Among them are Intellegens, Polymerize, Queen Mary University of London, and Universitat de Barcelona. Most offer licensing or co-development. Sign up to see every organization working in the area and to send them your specific need.
How do I find artificial intelligence research partners?
Browsing artificial intelligence solutions on Halo is free. Sign up to search the full network and save the ones you want. Post your specific need to get exact matches. Organizations reply directly on the platform.
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