Because we know what’s on your plate, we deliver better health outcomes

Is it backed by data & science?

RxFood has, and continues, to be rigorously tested. The accuracy of the technology has been shown to be similar to research grade analytics. Clinically, after 3 months of use, children with type 1 diabetes managed in a quaternary diabetes center demonstrated improved ability to carb count and lower A1c (0.8% improvement compared to the control group). Plus, carb counting testing was done without using the app, signalling learnability. Our reports are based on the latest food guides and strong evidence-based recommendations. And we never stop studying and improving.

Will it add to my workload?

We know clinicians are busy, so we designed RxFood to be similar to ordering a diagnostic test or clinical consult. The few seconds it takes to get someone setup are more than made back by reducing the time it takes to take a dietary history. In fact, in our testing, clinicians could complete a more accurate history 3x faster using RxFood. By taking a data-driven approach, more efficient and effective care is possible that will save you time. Plus it supports virtual models of care.

Is it good for my patients?

Most, if not all, chronic disease guidelines recommend medical nutrition therapy for disease management and prevention. But we know this can be hard to deliver. RxFood helps you deliver evidence-based nutritional recommendations. In our clinical practice, patients really appreciate having the ability to learn how to modify their diet, plus we have the outcomes to prove it makes a difference

How does it help my hospital?

RxFood has demonstrated positive improvements in chronic disease metrics such as weight and A1c. These improvements can be translated directly into cost savings for the health system. For example, based on our randomized control trial, we generated a cost savings of over $1000 per person per year. Given the cost of RxFood, we create a 5x ROI. The data we generate can also help your hospital create targeted and preventative programs.

Plus, we can make a clinical team more efficient, allowing them to deliver better care to more people. Together, these create value to organizations.

Will it add to my staff’s workload?

We know clinicians are busy, so we designed RxFood to be similar to ordering a diagnostic test or clinical consult. The few seconds it takes to get someone setup are more than made back by reducing the time it takes to take a dietary history. In fact, in our testing, clinicians could complete a more accurate history 3x faster using RxFood. By taking a data-driven approach, more efficient and effective care is possible, which will save you time. Plus it supports virtual models of care.

Is it backed by data & science?

RxFood has, and continues, to be rigorously tested. The accuracy of the technology has been shown to be similar to research grade analytics. Clinically, after 3 months of use, children with type 1 diabetes managed in a quaternary diabetes center demonstrated improved ability to carb count and lower A1c (0.8% improvement compared to the control group). Plus, carb counting testing was done without using the app, signalling learnability. Our reports are based on the latest food guides and strong evidence-based recommendations. And we never stop studying and improving.

Does it save money?

RxFood has demonstrated positive improvements in chronic disease metrics such as weight and A1c. These improvements can be translated directly into cost savings for the health system. For example, based on our randomized control trial, we generated a cost savings of over $1000 per person per year. Given the cost of RxFood, we create a 5x ROI.

Plus, we can make a clinical team more efficient, allowing them to deliver better care to more people. Together, these create value to organizations which in turn will help our investors.

Can you help people internationally?

RxFood is a cloud-based technology with potential to help people all over the globe. The science and core technology behind RxFood are universal, but we do regionalize the product for an even better experience. For instance, we can customize settings to deploy in different regions with models trained to recognize local cuisine. We are already used in two countries, and are working on a third right now.

How does IA make money?

That is a very important question. We are happy to discuss this with you in person. In short, we do our best to limit patients from having to pay. In most cases we can successfully generate revenue by driving efficiencies and improving outcomes. When patients do pay, we can qualify for reimbursement though insurance in many cases.

How will it help my organization

RxFood has demonstrated positive improvements in chronic disease metrics such as weight and A1c. These improvements can be translated directly into cost savings for not only the health system, but for the employer as well. For example, based on our randomized control trial, we generated a cost savings of over $1000 per person per year. Given the cost of RxFood, we create a 5x ROI. The data we generate can also help your organization create targeted and preventative programs, helping your bottom line.

Will it add to my staff’s workload?

We know employees are busy, so we designed RxFood to be similar to ordering a diagnostic test or clinical consult. The few seconds it takes to get someone setup and completing a 3 day history is incredibly seamless. In fact, in our testing users usually continue to log or would like to re-test quarterly post seeing their assessment to see how they compare, providing them with a more meaningful tool that has shown to produce behavior change. By taking a data-driven approach, more efficient and effective care is possible that will produce change to the user, and productivity to the employer.

Is it backed by data & science?

RxFood has, and continues, to be rigorously tested. The accuracy of the technology has been shown to be similar to research grade analytics. Clinically, after 3 months of use, children with type 1 diabetes managed in a quaternary diabetes center demonstrated improved ability to carb count and lower A1c (0.8% improvement compared to the control group). Plus, carb counting testing was done without using the app, signalling learnability. Our reports are based on the latest food guides and strong evidence-based recommendations. And we never stop studying and improving.