Lorikeet
Pay-per-resolution AI agent for fintech and healthtech support teams
Overview
Lorikeet is a Sydney-founded AI agent that resolves complex, multi-step support tickets for regulated industries like fintech and healthtech, charging per resolved ticket instead of a flat fee. Customers include Eucalyptus, Flex and Linktree.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 12 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- $0.95 per chat/email/SMS resolution
- $1.50 per voice resolution (up to 3 min)
- $0.30 per ticket for routing/QA add-ons
- No per-seat or setup fees
- $0.80 per chat/email/SMS resolution
- $1.20 per voice resolution
- $0.25 per ticket for routing/QA add-ons
- No per-seat or setup fees
- Custom resolution pricing
- Dedicated support
- Custom integrations
What you can produce with Lorikeet
- Multi-step ticket resolution (refunds, account changes)
- Chat, email, SMS, WhatsApp and voice channels
- Zendesk, Stripe and internal-API integrations
- 'Toolshed' for custom action-building
- Per-resolution pricing (no per-seat fees)
- Automated QA and routing/tagging add-ons
ASEAN Perspective
Lorikeet in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Lorikeet's pitch is narrower than most CX agents: instead of chasing deflection-rate leaderboards, it goes after the tickets simpler bots bounce — refund disputes, account changes, compliance-sensitive requests — across chat, email, SMS, WhatsApp and voice. The Eucalyptus case study is the strongest public evidence: response times dropped from roughly 20 hours to about 90 seconds, and the AI reportedly matches or beats human CSAT scores on the tickets it handles.
The pricing is the real differentiator and the real risk. Lorikeet charges per resolved ticket ($0.80–$0.95 for chat/email/SMS, $1.20–$1.50 for voice, depending on plan) rather than per seat, which rewards steady volume but punishes spikes — a launch or holiday surge can burn through committed credits fast. There's no self-serve trial; every deal starts with a sales call. For a Sydney-founded team now raising at a $200M+ valuation, that's a reasonable trade for regulated-industry buyers, less so for anyone wanting to test-drive first.
What people say
Lorikeet doesn't have a public G2 or Capterra footprint yet — reviews live mostly in company case studies, funding coverage and founder interviews, which is typical for an 18-month-old startup selling almost exclusively to enterprise. What is verifiable: Lorikeet raised roughly $75M across three rounds in about a year — a $7.3M seed in October 2024, a $9M raise in February 2025, then a $35M Series A in August 2025 led by QED Investors with Blackbird, Square Peg and Skip Capital participating — putting the valuation above $200M by mid-2025. That pace of raising for a company still short on third-party review volume says investors are betting on the regulated-industry thesis more than on proven market breadth.
The clearest customer evidence is the Eucalyptus telehealth case study: response times fell from about 20 hours to roughly 90 seconds after deploying Lorikeet, and the company reports the AI's resolution quality holds up against its human agents on comparable tickets. Flex, a rent-payment fintech, is cited as replacing a rigid chatbot specifically because Lorikeet could handle high-emotion, high-stakes housing conversations rather than scripted FAQ flows. Other named customers — Linktree, Magic Eden, Airwallex, Breeze — round out a fintech-and-consumer-tech-heavy roster.
Independent commentary (from tool-comparison sites rather than verified user reviews) flags the pricing model as both Lorikeet's edge and its catch: paying only for resolved tickets sounds fair until a busy month burns through the committed credit pool faster than expected, pushing teams into overage charges. The same sources note there's no self-serve signup — every account starts with a demo and a sales conversation, which filters out smaller teams that just want a drop-in FAQ widget.
Founders Steve Hind (ex-Stripe product) and Jamie Hall (ex-Google, worked on Bard) lean on that pedigree in press coverage, and the company markets itself explicitly against simpler agents that bounce complex tickets back to humans. Until Lorikeet accumulates a G2 or TrustRadius review base, the fairest read is: strong, specific case-study evidence in fintech and healthtech, thin public evidence anywhere outside those two verticals.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Lorikeet's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Lorikeet unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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