Equiti targets scheduling and patient messages with acquired interpreter Lexi AI

Equiti plans to put its newly acquired AI interpretation technology to work first on scheduling, patient messages and other communication outside clinical consultations. Digital Health News outlined that approach on November 9, following Equiti’s October 28, 2026, acquisition announcement for Lexi AI. Human interpreters will remain central to sensitive conversations about diagnoses, consent and treatment.

The acquisition brings Lexi alongside Martti, Equiti’s service connecting healthcare organizations with qualified medical interpreters. Financial terms were not disclosed. The companies will work together on implementation and integration, rather than replacing Martti with an AI-only service. Equiti says each customer will help determine how the tools fit its language access program, clinical environment and organizational policies.

AI between visits, people for sensitive decisions

The initial AI use cases extend beyond booking an appointment. They include patient messaging, nonclinical follow-ups and communication between healthcare visits. CEO Maureen Huber pointed to the period after patients leave a facility, when they may need help understanding a follow-up appointment, changing its time or finding the right department to contact.

For clinical discussions, Equiti describes a different role for people. Qualified interpreters will remain central to diagnoses, informed consent, treatment decisions and palliative care. The company’s rationale is that those conversations require not only accurate interpretation, but also cultural context and empathy. Its stated deployment plan therefore distinguishes routine communication from clinically complex or sensitive exchanges.

The choice can change during an encounter

Equiti calls its combined approach Modality Matters. In its acquisition announcement, the company described matching each encounter to AI support or qualified human interpretation. Clinical complexity is one consideration, but not the only one: regulatory requirements, organizational policy and patient preference can also call for a human interpreter, even within a portfolio that includes AI.

The company says the model is designed to let organizations switch between those forms of support as the clinical context or communication needs change in real time. That is a proposed operating approach, not a rule assigning every conversation permanently to one service. Equiti describes AI as support for approved use cases, with human interpretation available when the encounter calls for it.

Martti’s human service also comes with a training and quality framework. Equiti says its interpreters are supported by a 120-hour healthcare curriculum, annual continuing education, quality monitoring and specialized coaching. Martti University provides accredited professional development for interpreters and other healthcare professionals involved in language access.

Buying the team rather than building internally

Huber said Equiti chose to acquire Lexi instead of developing an AI medical interpretation platform internally because of the startup’s AI engineering and healthcare product expertise. She also said healthcare organizations exploring AI interpretation need guidance on appropriate deployment, particularly in clinical settings where communication accuracy and patient safety are critical.

Lexi co-founder and chief product officer Siddharth UR described its technology as built to fit devices and workflows healthcare teams already use. Under Equiti, the teams plan to extend that work across more stages of patient care. Implementation remains customer-specific: the acquisition establishes common ownership, while the integration work and decisions about appropriate use sit with the combined teams and their healthcare customers.