Lorikeet

What Lorikeet does

Lorikeet is a platform that complex and regulated businesses use to provide their customers with a universal concierge. Lorikeet does this with AI agents that work across voice, chat, and email. The agents are built on a unique architecture that focuses on flexibility and the ability to take actions to solve customers’ problems (not just tell them to self serve) in the most challenging circumstances. Lorikeet leverages best-in-class AI and a powerful workflow engine to deliver high-quality customer support. It is designed to resolve customer problems end-to-end across their lifecycle via phone, SMS, chat, email, and WhatsApp, built with compliance in mind. Lorikeet follows SOPs, taps into systems, and handles high-stakes workflows, and is smart enough to escalate issues to human teams with full context when needed. The platform integrates with existing tools like Zendesk, Stripe, and internal APIs to drive efficient and impactful outcomes. Lorikeet offers a pay-per-resolution pricing model, aligning incentives with customers.

Products

• Concierge AgentBuilds CX agents for customer care that understand context and personalization across all channels (voice, SMS, chat, email, WhatsApp), both inbound and outbound. It takes actions inside existing tools and is configurable for complex use cases, handling multi-agent orchestration and compliant AI for high-stakes industries.
• Coach AgentMeasures performance across 100% of tickets for AI, human, and hybrid support teams. It takes support data, turns it into insights, and takes action to continuously improve customer experience. Coach allows configuration through conversation, automated workflow testing, debugging conversations, and provides real-time quality scoring and analytics.
• Lorikeet Voice 2.0A voice AI that coordinates and resolves complex support scenarios with precision and empathy. It accesses live data, coordinates with third-parties, and solves high-stakes issues, maintaining context across channels and executing actions mid-call. It is built for fintech, healthtech, and complex regulated use cases, supporting multi-agent coordination and model switching.

Key capabilities

• AI agents across voice, chat, and email
• Unique architecture for flexibility and action-taking
• End-to-end problem resolution across channels (phone, SMS, chat, email, WhatsApp)
• Compliance-focused design
• Integration with existing systems (Zendesk, Stripe, internal APIs)
• Workflow matching and execution
• Intelligent escalation with full context
• Omnichannel support with customer memory and context
• Configurable for complex use cases
• Compliant AI with natural language workflows and deterministic guardrails
• Transparent AI with fully explainable decisions and observability
• Pay-per-resolution pricing model
• Automated QA, routing, and analytics tagging
• Custom guardrails
• Concierge actions
• Testing and simulations
• Evaluations & reporting
• Dedicated engineering support for implementation and contract life
• SOC2 Type 2 and ISO27001 security certifications
• HIPAA BAA compliance
• Customer memory that understands context and personalization
• Multi-agent orchestration
• Conversational insights and analytics
• Real-time, always-on assistance for chat
• Natural conversation, precise execution for voice
• Concise support, immediate reach for SMS
• Rich messaging, global scale for WhatsApp
• Automated workflow building, configuration, testing, simulations, and analysis
• Conversational analytics with natural language queries
• Thematic analysis for conversation categorization
• Trend detection for emerging issues
• Proactive problem identification and resolution by Coach Agent
• Model switching for low latency and high precision in voice
• Full customer data context across channels and conversations

Use cases

• Scaling customer support while maintaining response quality
• Resolving customer problems end-to-end across their lifecycle
• Handling high-stakes problems with precision
• Rescheduling appointments
• Changing medication delivery dates
• Upgrading hotel reservations
• Processing payroll plan upgrades
• Updating insurance policies
• Processing rent payments
• Express shipping medication
• Rescheduling flights
• Canceling subscriptions
• Addressing NFT transaction issues
• Processing refunds for double charges
• Managing repayment difficulties
• Early hotel check-ins
• Automating disputes in financial services
• Handling loan inquiries in financial services
• Processing payments in financial services
• Managing compliance cases in financial services
• Account resolution in financial services (filing disputes, verifying identity)
• Proactive outreach for financial services (payment reminders, hardship program eligibility, onboarding follow-ups)
• Around-the-clock compliant servicing in any language for financial services (account openings, loan applications, payment arrangements, identity verification)
• Troubleshooting complex blockchain issues
• Searching and confirming transactions on multiple block explorers
• Resolving swap issues and NFT visibility issues
• Handling prescriptions in healthcare
• Managing prior authorizations in healthcare
• Verifying benefits in healthcare
• Processing insurance claims in healthcare
• Coordinating care in healthcare
• Patient resolution in healthcare (appointment setting, triage)
• Clinical escalation with full patient context
• Managing referrals in healthcare
• Syncing records across EHR and payer systems
• Automating FNOL (First Notice of Loss) in insurance
• Handling claims status inquiries in insurance
• Policy servicing in insurance
• Managing premium inquiries in insurance
• Retention intelligence for insurance (billing disputes, coverage inquiries)
• Proactive outreach for insurance (renewal reminders, payment notifications, claims status updates, onboarding follow-ups)
• Automating energy support (decoding bills, explaining rate options, state-specific inquiries)
• Maintaining knowledge bases
• Improving workflows
• Running simulations
• Reviewing individual conversations
• Configuring concierge agents through conversation
• Testing workflows automatically
• Debugging conversations on the fly
• Evaluating customer interactions against quality standards
• Generating charts, reports, and breakdowns for analytics
• Surfacing patterns, finding problems, pulling data, and implementing improvement opportunities through conversational analytics
• Auto-categorizing conversations for thematic analysis
• Detecting emerging trends and spikes in specific topics
• Identifying and fixing root causes of issues (knowledge gaps, policy conflicts, workflow issues)

AI approach

Lorikeet uses AI agents with a unique architecture focused on flexibility and action-taking to resolve customer problems across voice, chat, and email. They leverage best-in-class AI and a powerful workflow engine. Their founders have experience from AI research, including Google Brain's research on factual grounding in large language models (LaMDA and Meena papers). The platform is highly configurable for complex use cases and provides transparent AI with fully explainable decisions, tracking every interaction, model choice, and action.

Tech named: AI agents, workflow engine, large language models, LaMDA, Meena

Industries served

• FinTech
• HealthTech
• Crypto Marketplaces
• Financial Services
• Healthcare
• Insurance
• Energy
• Complex SaaS

What it says sets it apart

• Resolves customer problems end-to-end, not just deflects or summarizes help centers
• Built for complex and regulated businesses with compliance in mind
• Unique architecture focused on flexibility and action-taking
• Integrates deeply with existing systems and internal APIs
• Intelligent escalation to human agents with full context
• Pay-per-resolution pricing model aligns incentives
• Transparent AI with fully explainable decisions and observability
• Multi-agent orchestration for complex workflows
• Coach Agent for continuous improvement, analytics, and automated configuration
• Voice AI (Voice 2.0) designed for precision, empathy, and action-taking in high-stakes scenarios
• HIPAA-ready and EHR-aware for healthcare
• Handles multi-party workflows across various systems (EHR, payer, assessors, insurers, claimants, brokers)
• Ability to interpret date and mathematical terms, and handle edge cases in high-stress moments
• Focus on solving hard problems and navigating nuanced workflows, unlike AI built for retail/e-commerce

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.