Lorikeet
Lorikeet is an AI customer concierge platform that autonomously resolves complex support issues end-to-end across voice, chat, email, SMS, and WhatsApp for fintech and healthtech enterprises, using a proprietary Intelligent Graph orchestration architecture with HIPAA, SOC 2, and ISO 27001 compliance.
- Company typePrivate
- Founded2023
- HeadquartersSurry Hills, Australia
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Lorikeet does
Lorikeet, founded in 2023 in Sydney and formerly known as Optech, develops an AI customer concierge platform that autonomously resolves complex, high-stakes customer support issues end-to-end across phone, SMS, chat, email, and WhatsApp. The platform is built on a proprietary Intelligent Graph architecture that decomposes customer standard operating procedures into discrete tasks executed by focused LLM calls, combined with multi-provider LLM infrastructure (with automatic failover), granular guardrails, and simulation-based agent testing. The product suite spans the core AI Concierge, Voice 2.0 for phone support, Coach for AI-powered QA and operations, Self-optimising Agents, Team of Agents, and an SDK plus MCP server for embeddable integrations. Compliance posture is anchored by ISO 27001, SOC 2 Type II, and HIPAA certifications, enabling deployment in regulated environments.
The company's go-to-market is enterprise field sales targeting complex regulated industries — primarily fintech and healthtech, with extension into technology and education — through demo-led custom contracts priced on conversation volume, integration complexity, and professional services. Customers include Magic Eden, Linktree, Flex, Eucalyptus, Arbor, Breeze, GiveCard, Self, Taptap Send, Amber, Summ, Step, Stashaway, SensorFlow, Remote.com, and Wonderschool, with unicorn logos across the US, Europe, and Australia. The founding team combines Steve Hind (ex-Stripe product leadership) and Jamie Hall (ex-Google Brain research tech lead and co-author on Google's LaMDA and Meena papers).
Lorikeet has raised over $50 million across four funding rounds between October 2024 and August 2025, led by Square Peg (seed), Blackbird (subsequent rounds), and QED Investors (Series A), reaching a valuation of $200M+ post-Series A. The company expanded its operating footprint to a US presence and a London EMEA headquarters in February 2026, and was ranked #8 on the a16z AI Apps 50 list.
Lorikeet firmographics
Firmographics- Name
- Lorikeet
- Legal name
- Operator Technologies AI Pty Ltd
- Website
- https://lorikeetcx.ai
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Lorikeet is an AI customer concierge platform that autonomously resolves complex support issues end-to-end across voice, chat, email, SMS, and WhatsApp for fintech and healthtech enterprises, using a proprietary Intelligent Graph orchestration architecture with HIPAA, SOC 2, and ISO 27001 compliance.
- Ownership category
- akta.pro rank
Lorikeet industry classification
Industry- Product category
- AI Customer Support Platform
- NAICS
- Computer Systems Design and Related Services (5415), Computer Systems Design and Related Services (54151)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industry
- AI & Automation in Customer Service (Chatbots, Agent Assist) (EDABACAO)
Keywords
Where Lorikeet is headquartered
LocationHeadquarters
- HQ city
- Surry Hills
- HQ country
- Australia
- HQ region
- Oceania
Offices2 records
Markets served
Lorikeet business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations
Revenue model
- SaaS Subscription: B2B SaaS subscription model for AI customer support platform. Enterprise contracts with custom pricing based on conversation volume, integration complexity, and professional services requirements. Supports complex regulated industries requiring compliance.
- Usage-based Pricing: Usage-based consumption model implied by enterprise contracts driven by conversation volume. Implementation services and professional services may also contribute to revenue.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Multi-year contract | Enterprise custom pricing |
Go-to-market motion2 records
Distribution channels1 record
Marketing channels6 records
Lorikeet product offering
Product offeringCore offering
Lorikeet offers an AI-powered customer concierge platform that resolves complex customer support issues end-to-end across phone, SMS, chat, email, and WhatsApp. Built on a proprietary Intelligent Graph orchestration architecture, the platform follows customer standard operating procedures and integrates with systems such as Zendesk, Stripe, and HubSpot to autonomously handle workflows in regulated industries including fintech and healthtech. The offering includes add-on modules (Coach, Voice 2.0, Self-optimising Agents) plus SDK and MCP integration tools for embedding AI support capabilities.
Product overview
Lorikeet offers an AI-powered customer support platform with a modular architecture. The core product is the Lorikeet AI Concierge, which provides end-to-end resolution of complex customer issues across voice, chat, email, SMS, and WhatsApp. This core platform is built on a proprietary Intelligent Graph orchestration architecture that enables AI agents to follow customer SOPs and integrate with existing systems. The product suite includes add-on modules: Coach (AI-powered QA and operations optimization), Voice 2.0 (advanced voice support with multi-agent coordination), Self-optimising Agents (pre-deployment testing and simulation), Toolshed, and Team of Agents (multi-channel orchestration). Additionally, Lorikeet provides SDK and MCP (Model Context Protocol) integration tools for customers to embed AI support capabilities into custom applications and connect with external AI platforms.
Differentiator
Problem solved
Functional benefit
Products and services
- Lorikeet AI Concierge Primary AI customer support platform that resolves complex customer issues end-to-end across phone, SMS, chat, email, and WhatsApp. Built on the Intelligent Graph orchestration architecture, it follows customer SOPs and integrates with existing systems (Zendesk, Stripe, internal APIs) to autonomously handle workflows including billing disputes, account management, order processing, and compliance-critical tasks in regulated industries.
- Lorikeet Coach AI-powered operations agent that analyzes every customer interaction (human or AI), scores quality against custom standards, identifies training gaps, and provides recommendations. Features include automated QA scoring, thematic analysis, conversational analytics, root cause identification, and workflow improvement suggestions. Accessible via the Lorikeet app, Slack, Claude, and ChatGPT.
- Voice 2.0 Advanced conversational AI system for real-time voice support. Handles phone-based customer service with multi-agent coordination for end-to-end resolution without human intervention. Supports multilingual capabilities and scalable deployments for high-volume scenarios such as emergency aid rollouts.
- Self-optimising Agents AI testing and optimization solution for support agents. Enables regulated businesses to test AI support agents against thousands of simulated customer scenarios before deployment. Features built-in guardrails to catch issues proactively and post-deployment, with performance monitoring showing measurable resolution rate improvements.
- Team of Agents Multi-agent orchestration capability enabling Lorikeet concierges to handle third-party outreach across multiple channels including chat, email, voice, SMS, and SDK integration points.
- Lorikeet MCP Model Context Protocol (MCP) server enabling safe integration between Lorikeet's AI capabilities and external AI platforms and tools. Allows AI systems to connect with Lorikeet's support automation features.
Quantifiable outcome
- 97% faster resolution times for enterprise customers
- +6 more outcomes
Companies that use Lorikeet
Customer profileNamed customers16 records
Segments3 records
Ideal customer profiles3 records
Lorikeet technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability7 records
Feature8 records
Lorikeet partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered core and minor.
- GiveCardcorePartnership for SNAP emergency aid rollout. Voice 2.0 deployed to support 300,000+ families with 60,000+ calls handled during critical emergency period.
- SlackcoreCoach product integrates with Slack for conversational analytics and workflow management. Part of multi-platform integration strategy.
- Claude (Anthropic)coreCoach product integrates with Claude for AI-powered analytics and conversation analysis. Multi-provider AI infrastructure.
- ChatGPT (OpenAI)coreCoach product integrates with ChatGPT for AI-powered analytics. Part of multi-model approach.
- ZendeskcoreIntegration with Zendesk for triage routing, escalation logic, and autonomous workflows. Enables rapid deployment within existing customer infrastructure.
- HubSpotcoreIntegration with HubSpot for customer support workflow automation and ticketing.
- HoratiominorPartnership to set new standard for support quality. Joint go-to-market in CX quality assurance.
- GranolaminorCX playbook podcast featuring Granola's support team approach and collaboration with engineering.
Scale indicators10 records
Recent moves7 records
Expansion highlights6 records
Lorikeet competitors and assessment
Company assessmentBroad incumbents
- Intercom (Fin): Established customer support platform with Fin AI agent. Far broader product portfolio than Lorikeet, but Fin competes head-to-head in the AI agent for CX category.
- Salesforce Agentforce / Einstein: Salesforce's agentic AI platform for customer service and CRM workflows. Massive distribution and existing enterprise footprint create competitive pressure across Lorikeet's verticals.
- Zendesk AI: Incumbent customer support platform embedding AI agents and copilots into its suite. Lorikeet integrates with Zendesk but also competes against its expanding AI capabilities.
Emerging players
- Cognigy: Conversational and agentic AI platform for enterprise customer service automation. Overlaps with Lorikeet on workflow-based AI agents and integrations with contact center infrastructure.
- Yellow.ai: Enterprise conversational AI platform for customer support and employee experience. Competes in similar omnichannel AI agent category with global enterprise focus.
Direct peers
- Sierra: AI agents for customer experience, co-founded by Bret Taylor. Targets enterprise consumer brands with conversational AI agents; very similar positioning to Lorikeet in the AI CX agent category.
- Forethought: AI-native customer support platform offering triage, deflection, and agent-assist capabilities. Competes for the same enterprise CX automation budget with similar AI-first positioning.
- Ada: AI-powered customer service automation platform serving enterprise clients including fintech. Overlapping agent-based resolution capabilities and B2B SaaS model.
- Cresta: Real-time AI agent coaching and customer service automation. Targets enterprise contact centers with AI agents and assist features similar to Lorikeet's Coach and Concierge.
- Decagon: AI agent platform purpose-built for enterprise customer support, serving fintech, healthtech, and other complex consumer brands. Most direct competitor with similar vertical focus and AI-native agent architecture.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Lorikeet social profiles
Digital presenceLorikeet compliance and trust
Trust signalCompliance3 records
Lorikeet financial estimates
Financial estimateRevenue estimate
Valuation estimate
Lorikeet leadership team
Management profileNumber of profiles
Profiles11 records
Lorikeet funding detail
Funding detailFunding overview
Funding rounds3 records
Investors8 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Lorikeet M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Lorikeet
What does Lorikeet do?
Lorikeet offers an AI-powered customer concierge platform that resolves complex customer support issues end-to-end across phone, SMS, chat, email, and WhatsApp. Built on a proprietary Intelligent Graph orchestration architecture, the platform follows customer standard operating procedures and integrates with systems such as Zendesk, Stripe, and HubSpot to autonomously handle workflows in regulated industries including fintech and healthtech. The offering includes add-on modules (Coach, Voice 2.0, Self-optimising Agents) plus SDK and MCP integration tools for embedding AI support capabilities.
Is Lorikeet a public or private company?
Lorikeet is a private company. It is classified as venture growth investor backed and is currently operating.
When was Lorikeet founded?
Lorikeet was founded in 2023. It employs 101 to 250 people.
Where is Lorikeet based?
Lorikeet is headquartered in Surry Hills, Australia, in the Oceania region.
How does Lorikeet make money?
Two revenue lines are on record. SaaS Subscription is the primary driver. The others are usage-based Pricing.
Who are Lorikeet's main competitors?
Broad incumbents on record are Intercom (Fin), Salesforce Agentforce / Einstein and Zendesk AI. Emerging players are Cognigy and Yellow.ai. Direct peers are Sierra, Forethought, Ada, Cresta and Decagon.
Does Lorikeet have an API?
Yes. Lorikeet offers an MCP (Model Context Protocol) server called Lorikeet MCP that enables integration with AI platforms. The company also supports SDK-based integration for embedding AI customer support capabilities into client applications. Blog posts reference that customers can build custom AI-powered applications using the Lorikeet SDK, including finance coaches and customer-facing assistants.
What industry is Lorikeet in?
Lorikeet's product category is AI Customer Support Platform. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of EDABACAO, AI & Automation in Customer Service (Chatbots, Agent Assist). Its NAICS code is 5415 and its SIC code is 7372.