Healthcare technology company Equiti has acquired Lexi, a healthcare-focused artificial intelligence language interpretation provider, in a move to combine automated language support with professional medical interpretation. The acquisition brings Lexi’s AI interpretation capabilities, covering more than 35 languages and dialects, into Equiti’s existing Martti platform, which provides access to qualified medical interpreters across more than 250 languages and dialects. The combined offering is designed to help hospitals and healthcare organizations extend language access across clinical and administrative workflows while maintaining human interpreter involvement for encounters requiring additional clinical judgment, regulatory oversight or patient preference.
Equiti Combines Healthcare AI Interpretation With Human Expertise
Healthcare organizations are increasingly exploring artificial intelligence to improve clinical communication, administrative efficiency and patient engagement. For providers serving multilingual populations, language interpretation presents a particularly important opportunity, but also introduces safety and accuracy considerations that generic AI translation tools may not adequately address.
Equiti is addressing this challenge through its acquisition of Lexi, a healthcare AI language interpretation company. The transaction brings Lexi’s automated interpretation technology together with Martti, Equiti’s established medical interpretation platform and professional interpreter network.
The acquisition represents a broader investment in multimodal language access, where healthcare organizations can select between AI-powered interpretation and qualified human interpreters depending on the nature of a patient interaction.
Rather than positioning AI as a replacement for medical interpreters, Equiti is developing a connected approach intended to make language support available across more points of the patient journey.
Lexi Extends AI Interpretation Into Healthcare Workflows
Founded by Linh Pham and Siddharth UR, Lexi provides immediate AI-powered language interpretation in more than 35 languages and dialects. Its technology offers integration options for electronic health record (EHR) systems and telephone workflows, allowing healthcare teams to access language assistance through existing operational environments.
This integration strategy is important because interpretation needs are not limited to scheduled clinical consultations. Patients and healthcare professionals communicate across appointment coordination, administrative interactions, routine questions and other everyday situations where immediate language support can be useful.
By embedding AI interpretation into familiar devices and workflows, Lexi aims to reduce friction in accessing language assistance.
Lexi’s development has also received external recognition. The company won the 2025 Peter M. Sacerdote Grand Prize in the Social Enterprise Track of the Harvard Business School New Venture Competition.
However, healthcare AI interpretation faces a higher reliability threshold than general-purpose translation. Medical terminology, patient instructions, consent discussions and sensitive clinical conversations require careful handling. Errors can affect patient understanding and potentially influence care decisions.
This makes the distinction between approved AI use cases and interactions requiring professional interpretation central to Equiti’s strategy.
Martti Provides the Human Interpretation Layer
Through Martti, Equiti offers 24/7 access to qualified medical interpreters across more than 250 languages and dialects.
The service is supported by a 120-hour healthcare curriculum, annual continuing education, quality monitoring and specialized coaching. Equiti also operates Martti University, which provides accredited professional development for interpreters and other healthcare professionals involved in language access.
Combining these capabilities with Lexi creates a portfolio that addresses different levels of communication complexity.
Routine interactions may be suitable for immediate AI interpretation when permitted by clinical policies and organizational guidelines. More sensitive encounters, including situations involving complex medical decisions or patient-specific communication needs, may require qualified human interpreters.
Equiti calls this framework Modality Matters™. It allows healthcare organizations to select an appropriate interpretation method for each interaction and shift between AI and human support as circumstances change.
This flexibility is particularly relevant in environments where communication requirements can change during a patient encounter.
Healthcare Language Access Creates a Growing AI Opportunity
The acquisition comes as healthcare providers face continued pressure to improve communication with patients who have limited English proficiency (LEP).
According to the University of Pennsylvania’s Leonard Davis Institute of Health Economics, more than 25 million people in the United States have limited English proficiency. Language barriers can make it harder for patients to navigate healthcare services, understand treatment instructions and communicate symptoms effectively. Penn LDI+1
The operational challenge is also reflected in patient safety research. A 2025 analysis by Pennsylvania’s Patient Safety Authority identified 336 patient safety reports associated with language barriers during 2024. Interpretation challenges appeared in 82.4% of those reports, and more than half of the reports involving interpretation challenges indicated that a certified interpreter was unavailable. patientsafety.pa.gov
These findings help explain why healthcare-specific language technology is attracting attention. AI interpretation could make immediate assistance available in more routine interactions, while professional interpreters remain essential for encounters requiring specialized expertise.
The regulatory environment also matters. The US Department of Health and Human Services’ Section 1557 guidance emphasizes meaningful language access for individuals with limited English proficiency. Applicable requirements include accurate and timely language assistance, privacy protections and qualified interpreters when interpretation services are required. HHS.gov+1
Consequently, healthcare providers evaluating AI interpretation must consider more than language coverage. Accuracy, dialect handling, patient consent, data protection, clinical suitability and escalation to human interpreters are important deployment considerations.
Equiti’s Strategy Targets Connected Healthcare AI Infrastructure
The competitive significance of the acquisition lies in Equiti’s attempt to connect two different interpretation models within a single healthcare technology portfolio.
Healthcare technology providers are increasingly embedding AI into existing workflows rather than relying exclusively on standalone applications. EHR integration, telephone access and connected clinical systems are becoming important considerations for organizations seeking to introduce AI without substantially changing established operations.
Companies such as Microsoft and Google are also expanding their presence in healthcare AI infrastructure and enterprise applications. However, specialized medical interpretation requires domain-specific safeguards and expertise that extend beyond general-purpose language models.
Equiti’s advantage may come from combining Lexi’s immediate AI capabilities with Martti’s established interpreter network, healthcare training infrastructure and customer relationships.
The company has not disclosed the acquisition price, financial terms or specific integration milestones. It has also not published comparative accuracy benchmarks for Lexi against professional medical interpreters.
For healthcare organizations, the practical test will be whether the combined platform improves interpreter availability without compromising clinical communication standards.
With Lexi operating alongside Martti under Equiti, the company is positioning the acquisition as an expansion of healthcare language access rather than a replacement of human interpretation. Its success will depend on how effectively AI and qualified professionals work together across different patient interactions.
Market Landscape
The healthcare AI interpretation market is developing around several important technology and operational trends:
- Healthcare-specific generative AI: Purpose-built language models are increasingly being applied to clinical communication and administrative workflows.
- AI-human collaboration: Healthcare providers are exploring hybrid models that combine automated interpretation with qualified medical professionals.
- EHR integration: Embedding AI interpretation into existing clinical systems can improve accessibility and reduce workflow disruption.
- Patient safety and compliance: Accuracy, privacy, qualified interpretation and appropriate escalation remain critical for healthcare AI adoption.
- AI infrastructure integration: Healthcare technology companies are moving toward connected platforms that integrate AI across multiple operational functions.
Equiti’s acquisition positions the company within the emerging market for healthcare-specific AI language services. Its differentiation will depend on interpretation quality, clinical suitability, integration capabilities and the effectiveness of its human-in-the-loop model.
Top Insights
- Equiti acquired Lexi to combine AI-powered healthcare interpretation with Martti’s established network of qualified medical interpreters.
- Lexi supports immediate AI interpretation across more than 35 languages and dialects, with EHR and telephone integration options.
- Martti provides 24/7 access to qualified interpreters across more than 250 languages and dialects.
- Equiti’s Modality Matters framework allows healthcare organizations to select between AI and human interpretation based on encounter requirements.
- The acquisition highlights growing demand for healthcare-specific generative AI that prioritizes patient safety, clinical communication and human oversight.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
