Lorikeet Unclaimed
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.
Lorikeet's mission is to empower every company to deliver universal, AI-assisted customer support that is context-aware, safe, and proactive across channels.
What we offer
Coach
Coach enhances customer support by automating workflows and providing actionable insights in real time.
www.lorikeetcx.ai/product/coachMarket segments
Market size by segment
Growth potential (CAGR)
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.
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.
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.
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.
More information about our offering
Coach
Coach is your operations agent that works across Lorikeet to spot issues, find opportunities, and act on them. It can maintain knowledge bases, improve workflows, run simulations, and review individual conversations, helping you care for customers at scale. Controlled via natural language, it configures workflows and connects tools without writing code. It proposes actions for approval or implements improvements on your behalf.
- Understand Performance InstantlyGet immediate insights into performance metrics, with detailed explanations of outcomes and recommendations for improvement.
- Simplify Workflow BuildingEasily create and modify workflows using natural language, eliminating technical barriers and enhancing efficiency.
- Ensured ComplianceProvides peace of mind by guaranteeing quality and accountability in AI interactions.
- Monitor Interactions LiveStay updated on conversation quality with instant scores and reports, allowing for timely improvements.
- Ensures Consistent Data InteractionThe standardized interface of MCP simplifies how data is accessed and utilized, improving overall workflow efficiency.
- Identify and Resolve ProblemsEasily find underlying issues within conversations and receive actionable suggestions to enhance service quality.
- Enables Quick Tool ConnectivityMCP allows rapid integration with popular tools, streamlining access to external functions without extensive programming.
- Empowers Agent Self-TestingMCP facilitates proactive quality control by allowing agents to verify workflows, reducing errors in live settings.
- Test and Improve MethodologiesUse simulations to test various approaches, optimizing responses and workflows based on real-time feedback.
- Analyze Conversation TrendsUnderstand which themes are dominating customer interactions, enabling targeted improvements and insights.
- Ensure Workflow EfficiencyRegularly test and verify that workflows function smoothly and effectively before going live.
- Reduces Maintenance BurdenWith MCP, integrations evolve with supported tools, removing the need for constant manual updates and changes.
- Enhances Regulatory ComplianceOrganizations can ensure adherence to regulations by maintaining comprehensive records of AI agent actions through MCP.
- Proactively Address IssuesStay ahead of customer needs and concerns by catching trends early.
References
Methodology and sourcing behind the figures shown above.
Contact center automation
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.
- The global contact center software market size was valued at USD 63.88 billion in 2025; CAGR of 16.50% (2026–2034).
- Cloud-based contact center market was valued at USD 20.9 billion in 2023; projected to USD 86.4 billion in 2029; CAGR 26.9%.
- Call centre market size (2025): USD 37.4 Billion; Forecast (2035): USD 76.4 Billion; CAGR (2025–2035): 7.4%.
Contact center quality management
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.
- estimated to be valued at USD 2.45 Bn in 2026 and is expected to reach USD 4.14 Bn by 2033, exhibiting a CAGR of 9.1%
- The global contact center software market size was valued at USD 63.88 billion in 2025; CAGR of 16.50% from 2026–2034.
- projected to grow at a CAGR of 6.5% during the forecast period from 2026 to 2033.
Knowledge and workflow orchestration
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.
AI governance and compliance
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).
- The market is valued at USD 2.20 billion in 2025 and is projected to reach USD 11.05 billion by 2036; CAGR 15.8% (2026 to 2036).
- The global AI governance market is projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, expanding at a CAGR of 45.3%.
- AI Governance Software Spend Will See 30% CAGR From 2024 To 2030.
- The global AI Governance Industry is projected to grow, reaching USD 7380 million by 2030, with a CAGR of 51% between 2025 and 2030.
- The global AI governance market is valued at an estimated USD 2.62 billion in 2025; CAGR (2026-2035) 24.8%.
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