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www.lorikeetcx.ai

Sydney, Australia

Lorikeet provides an AI-powered CX platform enabling universal, context-aware support across channels.

Lorikeet is an AI-powered customer experience platform designed to help organizations deliver human-like, context-aware support at scale. The company aims to empower any business to provide a universal concierge for customers, handling inquiries 24/7 across the channel of choice. Lorikeet emphasizes safety and governance, using granular permissions and dynamic gating to ensure AI actions are auditable and safe, avoiding risky actions. Beyond reactive support, Lorikeet enables proactive, personalized engagement that blends support, lifecycle messaging, and software experiences. The platform is designed for teams ranging from startups to global enterprises, with a focus on grounded, trustworthy AI that can navigate complex conversations, access relevant data, and integrate with customers' existing systems. The goal is to reduce wait times, improve resolution quality, and scale customer interactions while maintaining a high-touch experience. The organization highlights a global team with experience from leading tech companies, emphasizing diversity and a user-centric approach. Overall, Lorikeet positions itself as a platform for organizations to deliver high-quality customer experiences through AI that acts as a capable assistant across customer touchpoints.

Mission statement

Lorikeet's mission is to empower every company to deliver universal, AI-assisted customer support that is context-aware, safe, and proactive across channels.

Products & Services

Coach Product

Coach enhances customer support by automating workflows and providing actionable insights in real time.

www.lorikeetcx.ai/product/coach
  • Conversational analytics — Understand Performance Instantly
  • Description-based configuration — Simplify Workflow Building
  • Quality guarantee — Ensured Compliance
  • Real-time performance visibility — Monitor Interactions Live
  • Standardized Data Access — Ensures Consistent Data Interaction
  • Root-cause analysis — Identify and Resolve Problems
  • Plug-and-Play Tool Integrations — Enables Quick Tool Connectivity
  • Self Verification for AI Agents — Empowers Agent Self-Testing
  • Simulations and A/B testing — Test and Improve Methodologies
  • Thematic analysis — Analyze Conversation Trends
  • Workflow testing — Ensure Workflow Efficiency
  • Maintenance Reduction — Reduces Maintenance Burden
  • Audit Logging and Compliance — Enhances Regulatory Compliance
  • Trend detection — Proactively Address Issues

Market Segments

Billion USD 0 3 6 9 12 15 18 21 Contact center … Contact center … Knowledge and w… AI governance a… Market Size (Billion USD)
0% 3% 6% 9% 12% 15% 18% 21% 24% 27% 30% CAGR Growth Potential

Contact center automation

Capabilities that automate voice and chat customer support workflows, enable real‑time information retrieval for agents and customers, and integrate with contact center channels and telephony for call deflection and issue resolution.

Market size: $19.2B CAGR: 24%
Estimation draws on related market figures in the provided results. Fortune Business Insights values the broader contact center software market at USD 63.88B (2025) with a 16.5% CAGR (2026–2034). MarketsandMarkets reports the cloud-based contact center market at USD 20.9B (2023) with a 26.9% CAGR (2023–2029). Future Market Insights places the wider call centre market at USD 37.4B (2025) with a 7.4% CAGR (2025–2035). ‘‘Contact center automation’’ is a subset focused on AI/self‑service/agent assist capabilities; assuming automation represents roughly 25–35% of contact center software spend, the 2025 market is estimated at ~USD 19.2B. Growth is projected above the overall software CAGR (16.5%) but near high‑growth cloud/AI segments, so a projected CAGR of ~24% is used, reflecting rapid AI-enabled adoption shown in the cloud-based and automation-focused forecasts.
TH CL CA 3 references

Contact center quality management

Features for automated QA, compliance monitoring, real-time operational metrics, and scoring to improve agent performance and ensure consistency across customer service operations.

Market size: $2.5B CAGR: 9.1%
Primary estimate based on a dedicated contact-center quality assurance market report (Coherent Market Insights) that values the segment at USD 2.45 billion in 2026 with a 9.1% CAGR to 2033. Broader contact-center software studies (Fortune Business Insights; MarketResearchFuture) show much larger overall contact-center software markets and higher CAGRs (mid-teens), and a separate forecast (ReliableMarketForecast via LinkedIn) shows a lower QA-specific CAGR (6.5%). Given the segment-specific report, the Coherent 2.45 Bn / 9.1% figures were used as the primary reference.
ES TH PR 3 references

Knowledge and workflow orchestration

Capabilities to maintain and configure knowledge bases and customer workflows via description-based configuration, standardized data access, plug-and-play integrations, and automated workflow testing.

Market size: $14.7B CAGR: 9.17%
Estimate uses published workflow-orchestration market figures from multiple industry reports. I adopt the Spherical Insights global workflow orchestration figure (USD 14.7B in 2024) and its 9.17% CAGR as the primary baseline for knowledge-plus-workflow orchestration. Larger figures and higher CAGRs from broader ‘orchestration tools’ and US AI-orchestration reports were noted but reflect broader toolsets or US-only submarkets, so a conservative global CAGR (9.17%) was used.
TH TH OR 3 references

AI governance and compliance

Controls, audit trails, evaluation, and guardrails to ensure safe, auditable, and compliant deployment and scaling of AI agents and automated workflows.

Market size: $2.2B CAGR: 25%
Search results show varied vendor estimates for AI governance: specialist enterprise-focused reports (Future Market Insights, MarketResearchFuture) place 2025 market size roughly USD 2.2–2.6B with mid-range CAGRs (15.8%–24.8%). Shorter-term vendor/syndicate forecasts (MarketsandMarkets, Next MSC/AWS listing, Forrester) report higher near-term growth (30%–51% CAGR) but cover different horizons and scope. I select a 2025 market size of ~USD 2.2B (aligning with FMI’s enterprise governance definition matching the requested segment) and a conservative growth-potential CAGR of 25% as a midpoint between authoritative industry forecasts (Forrester/MRFR) and higher short-term estimates (MarketsandMarkets/Next MSC).

Related Organizations

Common Questions

What does Lorikeet do?
Lorikeet is an AI-powered customer experience platform designed to help organizations deliver human-like, context-aware support at scale. The company aims to empower any business to provide a universal concierge for customers, handling inquiries 24/7 across the channel of choice. Lorikeet emphasizes safety and governance, using granular permissions and dynamic gating to ensure AI actions are auditable and safe, avoiding risky actions. Beyond reactive support, Lorikeet enables proactive, personalized engagement that blends support, lifecycle messaging, and software experiences. The platform is designed for teams ranging from startups to global enterprises, with a focus on grounded, trustworthy AI that can navigate complex conversations, access relevant data, and integrate with customers' existing systems. The goal is to reduce wait times, improve resolution quality, and scale customer interactions while maintaining a high-touch experience. The organization highlights a global team with experience from leading tech companies, emphasizing diversity and a user-centric approach. Overall, Lorikeet positions itself as a platform for organizations to deliver high-quality customer experiences through AI that acts as a capable assistant across customer touchpoints.
What is Lorikeet's role in the Contact center automation market?
Capabilities that automate voice and chat customer support workflows, enable real‑time information retrieval for agents and customers, and integrate with contact center channels and telephony for call deflection and issue resolution.
What is Lorikeet's role in the Contact center quality management market?
Features for automated QA, compliance monitoring, real-time operational metrics, and scoring to improve agent performance and ensure consistency across customer service operations.
How was the Contact center automation market size estimate for Lorikeet calculated?
Estimation draws on related market figures in the provided results. Fortune Business Insights values the broader contact center software market at USD 63.88B (2025) with a 16.5% CAGR (2026–2034). MarketsandMarkets reports the cloud-based contact center market at USD 20.9B (2023) with a 26.9% CAGR (2023–2029). Future Market Insights places the wider call centre market at USD 37.4B (2025) with a 7.4% CAGR (2025–2035). ‘‘Contact center automation’’ is a subset focused on AI/self‑service/agent assist capabilities; assuming automation represents roughly 25–35% of contact center software spend, the 2025 market is estimated at ~USD 19.2B. Growth is projected above the overall software CAGR (16.5%) but near high‑growth cloud/AI segments, so a projected CAGR of ~24% is used, reflecting rapid AI-enabled adoption shown in the cloud-based and automation-focused forecasts.
How was the Contact center quality management market size estimate for Lorikeet calculated?
Primary estimate based on a dedicated contact-center quality assurance market report (Coherent Market Insights) that values the segment at USD 2.45 billion in 2026 with a 9.1% CAGR to 2033. Broader contact-center software studies (Fortune Business Insights; MarketResearchFuture) show much larger overall contact-center software markets and higher CAGRs (mid-teens), and a separate forecast (ReliableMarketForecast via LinkedIn) shows a lower QA-specific CAGR (6.5%). Given the segment-specific report, the Coherent 2.45 Bn / 9.1% figures were used as the primary reference.
Lorikeet — company overview