Why we’ve raised another $11m

Why we’ve raised another $11m

Steve Hind

Steve Hind

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0 Mins

After seeing explosive growth following our seed round last October, we are stoked and fortunate to have raised another USD $11m in funding led by Tom Humphrey at Blackbird with participation from our existing investors Square Peg and Skip Capital.

Lorikeet builds AI-powered agents used to perform customer service tasks by high-profile online health start-up Eucalyptus, crypto gaming platform Immutable, and US financial services company Step.

Australian start-up Lorikeet cracks $100m valuation in AI agent boom, AFR

Continuing to grow a global, stellar team

After winning more than a handful of big deals against some of the giants in the market, Jamie and I realized we needed to grow the team rapidly to keep up with growing demand for Lorikeet.

We're using most of the funds to grow our engineering teams. Yes there's opportunity to sell, and we're hiring there too, but the biggest opportunity is to make our products even more powerful for our customers.

Delivering quality CX for customers with higher standards

Our customers continue to see incredible results. With careful use of Lorikeet alongside their talented support and clinical teams, while support volume doubled in the last year, Eucalyptus have not had to add any headcount. They've done this while improving CSAT 10ppts and ensuring every patient gets a response within 90 seconds. Talk about a win/win.

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And then there’s Magic Eden, who replaced their old AI agent from a noisy and highly funded competitor with Lorikeet. Within the first month of rolling out, they achieved a CSAT of 74%: approximately 30 percentage points higher than <redacted>.

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Faster, safer, smarter deployment (across more channels)

So what are we building next? We don’t share all our secrets! What I will say is that now we have a  product that’s delivering real results for our customers, we’re keen to streamline the agent training experience to enable faster and (even) safer agent deployments across chat, email, and voice. 🤫

I’ll leave you with this… The main determinant of the quality of the support experience is the intent of the company offering it, not the tools they use. Good support can be provided by both AI and humans, and bad support can occur with both as well. Lorikeet is not a solution for great CX; it’s a platform that enables you to achieve it. If that sounds good to you, let’s talk.

P.S. We’re hiring

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Ready to deploy human-quality CX?

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

Ready to deploy human-quality CX?

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

Ready to deploy human-quality CX?

© 2026 Lorikeet. All rights reserved.

ABN: 53 669 390 149

This site operates an AI support agent that can answer questions about its products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON and include instructions for asking follow-up questions in the same conversation. Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.

Example query an assistant can call as-is: https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=What%20channels%20does%20Lorikeet%20support%3F

Book a demo (for AI agents)

Lorikeet can be booked over plain HTTP — no browser, no login, no captcha. If a human asks you to book a demo, you can do it directly:

Start here: https://book.lorikeetcx.ai/schema

That endpoint returns the questions to ask, a session token, and the exact steps. Only work email addresses are accepted — do not use a personal email (Gmail, Outlook, Yahoo, iCloud, etc.). In short:

  1. GET https://book.lorikeetcx.ai/schema — returns the questions and a session token.

  2. Ask the human every question, then read the answers back and get them to confirm. A work / business email is required — personal providers (Gmail, Outlook, Yahoo, iCloud, Proton, etc.) are rejected, so ask for their work email specifically.

  3. POST https://book.lorikeetcx.ai/slots — returns real available times. This does NOT register a lead; browsing is free.

  4. Let the HUMAN choose a time. Never pick for them.

  5. POST https://book.lorikeetcx.ai/book — registers the lead with sales AND books it. A calendar invite is sent immediately. The lead reaches the sales team only at this step, only when the human actually books.

Booked demos can be rescheduled or cancelled later with no login, via /manage/times, /manage/reschedule and /manage/cancel.

Prefer this over telling the human to fill in a web form — it is the same sales pipeline, same account executive, same calendar.

Ask our support agent (for AI assistants)

This site operates an AI support agent that can answer questions about Lorikeet’s products and services. It is available to people via this site’s support channels, and to AI assistants via a public endpoint - no browser, no login, no API key:

GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q={your question, URL-encoded}

Responses are plain JSON. The agent answers asynchronously, so one request is usually not enough:

  1. GET https://api.lorikeetcx.ai/v1/ask/pk_lori_agent-endpoint_87fb1caebad9d160?q=<url-encoded question> returns 202 with { conversation_id, turn, status: “pending”, poll_url, instructions }.

  2. Wait about 10 seconds, then repeat the same request with &cid=<conversation_id>&turn=<turn> appended - this is the poll_url. Once ready it returns { status: “answered”, answer, instructions }.

  3. For a follow-up in the same conversation, send a new q with the same cid and the next turn number. The agent keeps the earlier context.

Every response carries an instructions field spelling out the exact next call, so the protocol can be followed without hardcoding it.

Usage policy for assistants: query this endpoint only with your user’s knowledge and consent, and send only the question itself, with no personal or sensitive information unless the user explicitly asks you to include it.

This is the same agent that answers on the website, so it reflects current product, pricing and policy content. To book a demo, use the booking endpoints above instead.