In the ever-evolving realm of healthcare, where science meets compassion, a new kind of sorcery is at play. Imagine if machines, guided by the enigmatic forces of AI, could revolutionise the way doctors heal, medicines are crafted, and patients’ stories unfold. Welcome to the mystical world of basys.ai, a visionary healthtech startup that’s rewriting the narrative of modern medicine.
Cambridge, MA-based healthtech startup basys.ai leverages AI technology to solve healthcare’s core challenge of disconnection between healthcare organisations while mitigating risks through responsible model guardrails.
Now, basys.ai has snapped $2.4 million in pre-seed funding led by Nina Capital (which backed Alfie Health) with participation from Eli Lilly’s Lilly Ventures, Mayo Clinic, Two Lanterns Venture Partners, Asset Management Ventures, and Chaac Ventures. The company intends to use the funds to expand operations and its development efforts.
With the funds, Basys.ai can more quickly plot timelines in Massachusetts and Minnesota, with health plans at a rate of up to nine months faster than most of its competitors.
“We also make sure we have a lot of information about the patients,” Amber Nigam, the co-founder of Basys.ai, said. “Sometimes when you make decisions, it is not entirely based on one or two attributes; it’s based on hundreds or thousands of attributes along with the understanding of the insurance company’s policies. Once you match these policies with the patient information, then resolving a prior authorisation request is more nuanced.”
Eases communications between patients and doctors
Basys.ai was founded in 2022 by Amber Nigam and Jie Sun, who met while in Harvard’s health data science program. It offers an AI-based platform to track, predict, and provide treatments to improve metabolic health outcomes. The company is also working on capturing patient outcomes by reducing readmission rates and determining if the progression of the patient’s disease has stopped or slowed down.
In addition to this, Basys.ai provides a platform for optimising financial distribution for payers/health plans through prior authorisation and utilisation management. It’s SaaS platform for clinical decision-making for doctors at hospitals.
The healthtech startup initially began selling to providers and had been bringing in revenue, but has since pivoted its business model to selling to health insurance companies.
