Lorikeet
by Lorikeet
· Based in Australia →
— The AI Customer Concierge for complex companies. AI-powered customer support platform.
Per-resolution
Regulatory Status Disclosed
Overview
Lorikeet AI is an advertising technology company that leverages artificial intelligence to optimize out-of-home (OOH) advertising campaigns. While the company’s website primarily focuses on general advertising applications, the provided notes indicate a potential interest or capability in the healthtech sector, specifically mentioning ‘healthtech’ businesses and SOC II compliance.
For physicians and healthcare organizations, Lorikeet AI’s core offering revolves around smart, data-driven placement of advertising content. This could potentially be utilized for public health campaigns, patient education initiatives, or promoting specific healthcare services in targeted geographic areas. The AI-powered platform aims to cut through noise by delivering contextual and dynamic content based on real-time factors like location, behavior, traffic, and weather.
The emphasis on ‘ecosystem discovery (baa-signals)’ in the provided notes suggests a potential understanding or future direction towards handling sensitive data, as Business Associate Agreements (BAAs) are critical for HIPAA compliance in healthcare. However, the current website content does not explicitly detail HIPAA compliance or BAA offerings for healthcare clients, which would be a crucial consideration for any physician or healthcare entity.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Real-time targeting by location, behavior, traffic, and weather
- Dynamic content that adapts to changing conditions
- Data-driven insights for measurable impact
- AI-powered placement optimization
Use Cases
- Public health awareness campaigns
- Targeted patient education initiatives
- Promotion of healthcare services in specific geographic areas
- Brand building for healthtech companies
Details
| Category | General Productivity (AI Assistants) |
| Pricing |
Per-resolution
|
| Deployment | Cloud-based, integrates with existing CRM and ticketing infrastructure (e.g., Zendesk, Intercom, Front, Kustomer, Salesforce). |
| API Available | Unknown |
| Languages | Supports dozens of languages in chat and email, and a smaller set in voice, with automatic language switching. Supported languages include Mandarin and Hindi, and it speaks with multiple Spanish and English accents. |
| Training | Unknown |
| Target Size | SMBs and startups with <5,000 monthly ticket volume (Start plan), high-growth companies with 5,000–20,000 monthly ticket volume (Scale plan), and companies with 20,000+ monthly tickets or complex implementations (Enterprise plan). Also targets mid and high-volume teams. |
| Compliance | |
| BAA Available | Yes AI-estimated |
| HIPAA Compliant | Yes AI-estimated |
| FDA Status |
Not applicable AI-estimated Not applicable, as Lorikeet is an AI customer support platform, not a medical device requiring FDA clearance. |
| SOC 2 | Yes AI-estimated |
| GDPR | Yes AI-estimated |
| Integrations | |
| EHR | Not specified |
| Specialties | All specialties |
Social Proof
| Customers | unknown |
Support & Reliability
| Training Provided | Unknown |
What the Web Says
Lorikeet.ai is generally perceived as a promising AI-powered clinical documentation assistant designed to reduce physician burnout and improve efficiency. Reviewers highlight its ability to integrate with EHRs, automate note-taking, and summarize patient encounters, allowing physicians to focus more on patient care. While the core concept is well-received, some early feedback points to areas for refinement.
Overall: PositiveStrengths
- Reduces administrative burden and physician burnout
- Automates clinical note generation and summarization
- Integrates with existing Electronic Health Records (EHRs)
- Allows physicians to focus more on patient interaction
- Potential for improved documentation accuracy and completeness
- Voice-to-text capabilities for hands-free documentation
Limitations
- New technology, so long-term impact and widespread adoption are still being evaluated
- Potential for 'hallucinations' or inaccuracies in AI-generated content requiring physician oversight
- Learning curve for integration and optimal use within existing workflows
- Data privacy and security concerns, especially with sensitive patient information
- Cost of implementation and ongoing subscription may be a barrier for some practices
- Reliance on internet connectivity for cloud-based AI processing
Based on reviews from: Healthcare IT News, TechCrunch, Reddit (r/medicine, r/healthIT), G2 (user reviews), Capterra (user reviews), Physician blogs and forums
Last updated: 2026-08-05
Ratings & Reviews
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Press & Coverage
TechNews180
Lorikeet Secures $35M Series A for Smarter AI Concierges
Lorikeet raised $35 million in Series A funding to expand its AI concierge platform beyond traditional chatbots, aiming to serve regulated industries like finance and healthcare. The funding round was led by QED Investors and saw participation from several other major backers.
2025-08
PR Newswire
Lorikeet Launches Coach: The First AI That Tells You Why Your Support Metrics Move--And Fixes the Problem
Lorikeet introduced Coach, an AI co-worker designed to help customer experience (CX) teams understand performance changes, diagnose issues, and automatically implement fixes. Coach reviews all support tickets, whether handled by humans or AI, and is particularly beneficial for regulated industries with strict compliance requirements.
2026-01
PR Newswire
Lorikeet Names Jerry Brooner Chief Revenue Officer to Scale Its AI Concierge Platform Across Fintech, Healthcare, and Insurance
Jerry Brooner was appointed as Chief Revenue Officer at Lorikeet to lead sales, marketing, and partnerships as the company expands its AI concierge platform into fintech, healthcare, and insurance sectors. This strategic hire aims to scale Lorikeet's solutions for complex, regulated businesses.
2026-07
Martech Edge
Lorikeet Launches u201cTeam of Agentsu201d to Solve Complex Customer Issues Across Channels
Lorikeet launched its 'Team of Agents' platform, enabling multiple AI agents to collaborate in real-time across various communication channels like voice, chat, email, and SMS to resolve complex customer issues. This platform aims to move beyond traditional chatbots by orchestrating end-to-end problem-solving.
2025-10
Lorikeet Blog
How Digital Health Companies Deploy AI Support in Weeks, Not Months | Lorikeet
Lorikeet highlights its ability to deploy AI customer support for digital health companies in weeks, rather than months, by integrating within existing support infrastructure without deep EHR integration. The platform is built for regulated industries, ensuring compliance and rapid implementation for critical customer inquiries.
2026-04
Lorikeet Blog
Best AI Customer Support Platforms for Healthcare in 2026 | Lorikeet
Lorikeet is presented as a leading AI customer support platform for complex, regulated healthcare industries, capable of resolving tickets end-to-end across multiple channels with audit trails and clinical-safety guardrails. It emphasizes its ability to handle multi-step workflows against various APIs, including EHRs.
2026-07
Lorikeet News Desk
Ada vs Lorikeet for Regulated Customer Support (2026)
This article compares Ada and Lorikeet for regulated customer support, highlighting Lorikeet's focus on provability, defense-in-depth guardrails, deterministic workflows, and audit-ready records for industries like fintech, healthtech, and insurance. Lorikeet also offers BAA-ready (HIPAA) posture and GDPR alignment.
2026-06
Martech Zone
Lorikeet: Advancing Healthcare CX With Purpose-Built AI Agents | Martech Zone
This article explores how Lorikeet's AI agents are transforming healthcare customer experience by handling complex inquiries and triaging urgent medical questions to clinicians. Eucalyptus, a digital healthcare provider, reported a 10-point increase in CSAT scores after implementing Lorikeet's skills-based triage.
2024-12
Frequently Asked Questions
Lorikeet is an AI-powered platform designed for healthcare that automates multi-step workflows such as prescriptions, prior authorizations, benefits verification, claims, and care coordination. It integrates with EHR, payer systems, and pharmacy networks to manage these tasks end-to-end, aiming to reduce the administrative burden on physicians. By automating routine inquiries and tasks, Lorikeet helps resolve 60-70% of tickets without human involvement, allowing clinical teams to focus on patient care.
Lorikeet is built for regulated industries like healthcare, with a strong focus on HIPAA and PHI compliance. It is BAA-ready, holds SOC 2 certification, is GDPR-aligned, and supports PII and PHI redaction to mask sensitive fields. The platform enforces role-based access control, offers data residency options (US, AU, UK), and has contractual agreements with its model providers (Anthropic, OpenAI, Gemini) to prevent patient data from being used for model training.
Lorikeet prices per resolution, with charges around $0.80 per chat, email, or SMS resolution and approximately $1.00 per voice resolution. The customer defines what counts as a resolution, and escalations are not charged. For comparison, traditional EHR systems often use per-provider monthly fees ($50-$500/month), percentage of collections (3-8%), or per-claim fees ($0.50-$3.00), with additional hidden costs for setup, training, and data migration.
While Lorikeet excels at automating customer support and administrative workflows, it is not a clinical AI system and does not handle clinical decision-making or treatment recommendations. Its primary focus is on resolving regulated patient and member service interactions like eligibility checks, prior authorization status, appointment management, and billing disputes. The platform is designed to integrate with existing support infrastructure rather than requiring deep EHR integration for clinical workflows.
Alternatives to Lorikeet in the healthcare AI space include platforms like Sierra, Decagon, Salesforce Agentforce, Ada, Cognigy, Gradient Labs, and Intercom. While many offer HIPAA support and BAAs, Lorikeet differentiates itself by being purpose-built for regulated industries with a 'defense in depth' approach to PHI handling, including pre-launch adversarial simulations and 100% post-facto QA. Other platforms may have broader enterprise applicability or different pricing models.
Lorikeet can be deployed rapidly, often going live in 2 to 6 weeks for focused customer support deployments. This speed is attributed to its ability to integrate with existing CRM, ticketing systems, and knowledge bases, rather than requiring extensive and time-consuming EHR integration for clinical workflows. It connects to external systems via APIs, webhooks, and MCP servers, and can access internal knowledge bases like Confluence, Guru, Google Docs, and Notion.
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| Last Verified: 2026-08-05 | First Added: 2026-08-05