No Barrier, which grabbed a spot in Slator’s 50 under 50 language AI list in 2025, offers a platform that provides interpreting in real time between English and more than 40 languages and dialects. It also integrates with various clinical workflows in multiple medical areas and settings.
“Our technology also supports modalities that matter in routine care, including phone conversations between providers and patients,” commented Heldenberg.
He also highlighted that instant language access availability marks a pivotal change from typical wait times for interpreting services of 30-45 minutes in emergency rooms — plus the risks and challenges of using unqualified family members as language mediators.
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Data Safety, Security, and Accuracy
“We differentiate through deep investment in several areas,” explained the CEO about his company’s plans for using the funds. To him, it all starts with compliance: the technology prioritizes accuracy and cultural nuance while ensuring full compliance with legislation, including HIPAA, and data safety and security.
Integral to that operation are real-time mechanisms such as automated anomaly detection functionality and safeguards for clinical terminology. The company touts its commitment to offering what Heldenberg calls “a simple experience for providers and patients that removes friction and allows them to focus on care rather than on managing technology.”
Early adoption of the No Barrier platform spans over 100 sites in 12 states, including mental health, pediatrics, and reproductive care centers. “The most frequent feedback we hear is that the experience is dramatically faster and more intuitive than traditional interpreting,” said Heldenberg.
“The goal is to make clinical grade language access immediately available wherever care is delivered.” — Eyal Heldenberg, Co-Founder & CEO, No Barrier
Regarding any concerns institutions typically raise, Heldenberg shared that they center on reliable accuracy, ease of use, and how the experience feels on the frontlines. “Our deployment process addresses all of these. We work closely with healthcare leaders through stress tests, pilots, and feedback loops to support safe implementation and to demonstrate the platform’s capabilities at scale.”
The funding for No Barrier arrives as US policy makes it harder for institutions to manage the cost of adequate patient care for people with limited English proficiency (LEP). Its CEO contends that language should never be the reason someone receives worse care, and points out that the US federal government has both guidelines and a path ahead for language AI in healthcare.