Maven Clinic launches AI system to guide patients through care - not just provide support
New “Maven Intelligence” layer uses patient data to flag risks, suggest next steps and coordinate care across fertility, pregnancy and menopause
Maven Clinic has launched a new AI-powered system designed to actively guide patients through their care, rather than simply respond to questions or provide support on demand.
The New York-based virtual care provider said its new product, Maven Intelligence, will sit across its platform, using patient data to flag potential risks, recommend next steps and help coordinate care - from finding providers to navigating insurance coverage.
Maven said the system builds on more than a decade of data collected through its platform - more than one billion data points spanning patient interactions, clinical care and outcomes.
“AI isn’t a feature on the margins of healthcare — it’s foundational to how modern care must be delivered,” said Kate Ryder, founder and CEO of Maven Clinic.
“Maven Intelligence brings together a decade of clinical insight and real-world outcomes to turn data into action — enabling earlier intervention, more confident decision-making, and better care for women at every stage of life.”
Moving from information to action
Maven Intelligence is designed to work inside the care journey, rather than as a separate tool.
Members interact with it through a conversational interface that helps guide what to do next - whether that’s understanding symptoms, finding a provider, or navigating insurance coverage.
The system pulls together different types of data, including medical records, lab results, wearable data and information provided by the member. It also takes into account a person’s health history, goals and benefits coverage.
The aim is to move from simply giving information to actively coordinating care.
For example, if a pregnant member shows signs of increased risk, the system can flag that, suggest next steps based on clinical guidance, help connect them to the right provider and prompt follow-up - all within the same platform and with clinician oversight.
In another case, someone going through fertility treatment could receive guidance that reflects both medical best practice and what their employer-sponsored benefits will actually cover, helping them make decisions and avoid delays.
A system that learns from outcomes
Maven describes the platform as a “closed-loop” system. In practice, this means that what happens during care - including interventions and outcomes - feeds back into the system.
Over time, this allows the platform to refine its recommendations based on what has worked across its population.
“In women’s and family health — where care decisions directly impact birth outcomes, long-term maternal health, and total cost of care — AI must do more than inform,” said Jaya Savkar, SVP of Product at Maven Clinic.
“It must be accountable to measurable results.”
Maven said its programmes have already shown improvements in areas such as NICU admissions and C-section rates, although these results were generated before the full rollout of Maven Intelligence.
The company also said AI tools already in use on its platform have reduced administrative work for clinicians, including cutting documentation time after appointments by 30%.
Part of a wider shift in women’s health AI
Maven’s launch comes as more companies in women’s health develop AI systems built on their own data.
Last month, ŌURA introduced a women’s health AI model within its Oura Advisor tool, using biometric data from its wearable devices alongside clinical knowledge to provide personalised guidance.
“Women’s health is too complex - and too often overlooked - to rely on one-size-fits-all systems,” said Ricky Bloomfield, chief medical officer at ŌURA, at the time of the launch.
While ŌURA focuses on consumer guidance based on wearable data, Maven is embedding AI directly into care delivery — including provider interactions and care navigation.
Both approaches point to a broader shift: companies are building AI systems on top of long-term, proprietary datasets, and using them to deliver more personalised support.
Rollout and safeguards
Maven said the system is being introduced within its existing clinical governance and privacy frameworks, and is designed to support - not replace - clinical decision-making.
It is also using NVIDIA NeMo Guardrails to help ensure safe and appropriate AI interactions. The company said user conversations are not sold or used to train external models.
Maven Intelligence is beginning to roll out to members this month, with further features expected across fertility and maternity programmes later this year.
Founded in 2014, Maven Clinic now partners with more than 2,300 employers and health plans, providing virtual care across more than 30 specialties.
Earlier this month, Maven announced it is to introduce a new direct-to-consumer platform featuring GLP-1 and hormone care.