Inference

Inference: Using AI to do something useful

As active researchers and practitioners over the past 10 years in the field of AI applied to science, we have seen the challenges of AI/ML first hand. Remarkably, most ML projects unravel when they reach the stage of implementation - Our platforms are designed to transition models into business impact.

All our products are geared towards helping you and your team make the most of your AI/ML investment by overcoming implementation challenges. New to using ML? Our AI/ML products are designed to be used by non-experts, and our platforms provide a place for ML to integrate into your existing workflows. Have an ML team? Our laboratory platforms help your company input data into highly structured and queryable formats that are AI/ML ready. Need more data? Our computational modeling products can help you generate the data you need to develop and benchmark your AI/ML models while experimental data is still being collected. We also offer consulting services to help you and your team get the most out of your AI/ML investment.

Trained to your needs

No hallucinations here: we know that a general use of a general model generally doesn't work. Before pugging in a model, we work with your team to understand the use case and issues that could arise. We develop metrics to ensure our models are capable delivering value withing our standards of scientific rigor. Most importantly, we work with your team to develop a plan for adoption and use. Models that don't gain workplace traction are a waste of everyone's time and money.