The dental AI communication space has several newer entrants competing for practice attention, and two platforms drawing increasing interest are Viva AI and Dentina. Both are built specifically for dental practices, both handle patient conversations with AI, and both are targeting the growing DSO market. But their approaches differ in meaningful ways that should inform your evaluation. Here is a direct comparison.
Communication Channels
Dentina offers AI-powered voice and text communication for dental practices. The platform handles inbound patient calls with conversational AI and can manage text-based interactions. Dentina has focused on building natural conversational flows specific to dental scheduling and patient inquiries, making it effective for practices that need to manage high call volumes without adding front desk staff.
Viva AI covers voice, SMS, and web chat within a single unified platform, plus adds outbound AI capabilities for recall, reactivation, and treatment follow-up. The key architectural difference is that Viva treats all channels as part of one AI brain — a patient who calls, then texts, then uses web chat is understood as the same person with the same context. This omnichannel approach can reduce the fragmented patient experience that often occurs when practices use separate tools for each communication channel.
Clinical Awareness and Context
Dentina integrates with practice management systems to access scheduling data and patient records, enabling its AI to book appointments and handle basic patient identification. This level of integration is sufficient for most standard receptionist workflows.
Viva AI takes clinical awareness deeper by pulling treatment plan data, hygiene recall status, and patient engagement history into its conversational AI. This means the AI does not just book generic appointments — it can reference specific pending treatments, understand why a patient was supposed to return, and tailor the conversation accordingly. Viva describes this as bridging the gap between conversational AI and clinical AI, creating what the company calls an AI operating system rather than just a receptionist. For practices where treatment acceptance is a key revenue driver, this clinical context during patient interactions is a meaningful differentiator.
Outbound Engagement
Dentina’s strengths are centered on inbound communication — managing the calls and messages that patients initiate. The platform may offer basic follow-up messaging, but proactive outbound campaigns do not appear to be a core focus area at this stage.
Viva AI has made outbound AI a central pillar of its platform. The system proactively contacts patients for overdue recall appointments, incomplete treatment plans, and reactivation of patients who have fallen off the schedule. This is not just automated reminder blasts — Viva’s outbound AI engages in actual conversations, responding to patient replies and booking appointments in real time. For DSOs, where patient attrition across dozens of locations can represent millions in lost annual revenue, a proactive outbound engine is a significant capability.
Multilingual Capabilities
Dentina primarily serves English-speaking practices and has been developing additional language support as the company grows. Practices in multilingual markets should inquire directly about current language capabilities during their evaluation.
Viva AI supports over 100 spoken languages and over 150 text/chat languages with automatic language detection. The AI identifies the patient’s language in real time and responds natively — no manual switching, no separate phone trees. For DSOs operating in cities like Los Angeles, Houston, Chicago, or Miami, where patient populations speak dozens of languages, this can meaningfully impact patient satisfaction and appointment conversion rates.
Compliance and Security
Both platforms maintain HIPAA compliance, which is mandatory for any AI tool processing patient health information. Dentina follows standard healthcare data security practices and signs business associate agreements with its clients.
Viva AI holds both HIPAA compliance and SOC 2 Type II certification. The SOC 2 Type II audit is a more rigorous, ongoing assessment of a company’s security controls conducted by an independent third party. This dual certification is particularly valued by larger DSOs that must satisfy the security requirements of investors, insurance carriers, and enterprise partners.
DSO-Specific Features
Dentina serves individual practices and small groups effectively. Its implementation is typically straightforward, and the focused feature set means there is less configuration complexity during onboarding. For solo practices or small groups just beginning to explore dental AI, Dentina provides a practical entry point.
Viva AI was built with multi-location scale in mind. The platform offers centralized dashboards for monitoring AI performance across all locations, standardized KPI tracking, and enterprise-grade integration partnerships with DSO-focused PMS platforms like Dentrix Ascend, CareStack, and Cloud9. For DSO leadership teams that need to evaluate AI performance at scale and justify ROI across their portfolio, these management and analytics layers are critical.
Final Assessment
Dentina is a capable dental AI communication platform that serves practices looking for solid inbound call handling and a clean implementation experience. It is a reasonable choice for practices that want to start with AI voice and text without adopting a full platform suite.
Viva AI offers a more comprehensive platform with deeper clinical awareness, outbound capabilities, extensive multilingual support, and enterprise-grade compliance certifications. DSOs evaluating AI partners for long-term strategic deployment — particularly those that need outbound patient engagement, multilingual communication, and multi-location analytics — will likely find Viva’s broader scope better aligned with their operational requirements. Both platforms deserve a spot on your evaluation list, with the right fit depending on your organization’s size, complexity, and strategic AI ambitions.