Enabling your team to

  • Organize R&D datasets
  • Optimize device production
  • Accelerate testing
  • Discover new materials and formulations
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Who we are

We are a team of scientists, entrepreneurs, and academics dedicated to accelerating the materials and chemicals R&D with A.I. We provide software solutions and consulting services to help our clients apply cutting-edge models and make the most of their data.

Our platform provides data management tools to facilitate collaboration, advanced analytics to predict outcomes and discover the importance of experimental controls, and experimental design tools to accelerate optimization and time to market.

Our platform can be applied to any experiment with chemical substances, scalar values, and/or raw measurements as input data.

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What we do

Consulting

Our team of experts provides scientific collaboration, construction of customized data pipelines, machine learning training, and more.

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Software

Our cloud-based platform enables transparent A.I. modeling, data analysis, and feature calculations through the browser or Python API.

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Data

Our searchable materials database contains millions of materials along with their physical properties, vendors, and commercial availability.

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Schedule a meeting with our team

Schedule a 15-minute introductory consultation with the Aionics team to assess the applicability of materials informatics to your R&D.
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What our customers are saying

The Aionics platform enables us to seamlessly implement machine learning models on our in-house data in real time, which brings another layer of rigorous analysis to help identify the chemical features driving performance that we care about most. The automated machine learning model-building and screening workflow also lets us screen hundreds of thousands of candidate materials for our devices in the blink of an eye.
Mateo JaramilloCEO and Co-Founder, Form Energy
Mateo Jaramillo
Aionics is dramatically accelerating materials discovery, one of the slowest and most frustrating parts of battery R&D. Engineering and science teams can radically reduce the size of their designs of experiment and quickly in on material candidates that are most likely to produce optimal results. We see Aionics driving step-change improvements that will move us faster to the promis of ultra-high energy densities and custom-designed energy storage solutions.
Throop WilderCo-Founder, 24M
Throop Wilder
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What our customers are saying

The Aionics platform enables us to seamlessly implement machine learning models on our in-house data in real time, which brings another layer of rigorous analysis to help identify the chemical features driving performance that we care about most. The automated machine learning model-building and screening workflow also lets us screen hundreds of thousands of candidate materials for our devices in the blink of an eye.
Mateo Jaramillo
Mateo JaramilloCEO and Co-Founder, Form Energy
Aionics is dramatically accelerating materials discovery, one of the slowest and most frustrating parts of battery R&D. Engineering and science teams can radically reduce the size of their designs of experiment and quickly in on material candidates that are most likely to produce optimal results. We see Aionics driving step-change improvements that will move us faster to the promis of ultra-high energy densities and custom-designed energy storage solutions.
Throop Wilder
Throop WilderCo-Founder, 24M
Previous
Next

Our customers & partners

Unsure whether a data driven approach fits your organization?

Every organization’s environment is unique, which means every materials informatics approach is equally unique. Visit our Material Informatics (MI) Readiness calculator and take 60 seconds to check if this approach fits your unique environment or not.

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