Comparing boost.ai and Lorikeet? Both are AI Agents & Chatbots and Enterprise tools in the directory, which is why buyers put them on the same shortlist. Below is a side-by-side look at how they price, what they integrate with, and when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
| Attribute | boost.ai | Lorikeet |
|---|---|---|
| Pricing | Paid · Custom | Per resolution · $1,500/mo + $0.95/resolution |
| Founded | 2016 | 2023 |
| Categories | AI Agents & Chatbots Enterprise Voice & Phone AI | AI Agents & Chatbots Enterprise |
| Integrations | Genesys Zendesk Salesforce Five9 Amazon Connect Microsoft Teams | Zendesk Intercom Salesforce Twilio Flex Front Stripe |
boost.ai comes from Sandnes, Norway, where founder Lars Ropeid Selsås started in 2016 by automating customer interactions for a local bank. That origin explains everything about the product: it is conversational AI built for institutions that cannot afford a creative answer, and Nordic banks and insurers were the proving ground. Customers today include Nordea, Santander, DNB, Telenor, Vodafone, and Metro Bank, and the platform claims more than 600 live AI agents handling over 150 million automated conversations a year.
Technically, boost.ai's signature move is the hybrid: deterministic natural-language understanding that behaves predictably at thousands of intents, combined with generative AI where flexibility helps, all wrapped in governance controls. That lets a compliance officer sign off on what the agent is allowed to say while the agent still handles the long tail of phrasing real customers use. It covers chat and voice, integrates with contact-center platforms like Genesys, Five9, and Amazon Connect, and even supports Nordic authentication systems like BankID, a detail that says a lot about who it serves.
The company took a majority investment from private equity firm Nordic Capital in 2021 and sells the way you would expect an enterprise Scandinavian vendor to sell: quote-based pricing, no public price list, proper procurement. An unusual cultural artifact is its certification program, with thousands of certified AI trainers among its customers' staff, reflecting a philosophy that the client team, not the vendor, should run the agent day to day.
Pick boost.ai if you are a bank, insurer, telco, or public-sector organization that needs high-accuracy automation with auditable behavior. It is not the tool for a startup wanting a widget by Friday; it is the tool for the organization whose regulator reads the transcripts.
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Lorikeet builds AI agents for companies where a wrong answer costs real money, or worse. Founded in Sydney in mid-2023 by Steve Hind, formerly of Stripe, and Jamie Hall, a former Google AI engineer, it deliberately courts the customers most vendors disclaim: fintechs, healthcare companies, and marketplaces whose support conversations involve moving money and medical questions. Its answer to that risk is workflow-first design. The agent follows your standard operating procedures step by step, takes real actions through integrations, and escalates precisely where the procedure says to, rather than improvising when a conversation gets unusual.
The platform pairs the customer-facing Concierge agent, which keeps a memory of each customer, with a Coach agent that scores tickets, and orchestrates multi-agent workflows across voice, chat, and email. Customers include Airwallex, Linktree, Eucalyptus, Magic Eden, and Flex, and the investor story is remarkable for a two-year-old company: a $35 million Series A led by QED in 2025 brought funding past $75 million, with backing from all three of Australia's biggest venture firms plus Canva's co-founders, reportedly the first startup since Canva to manage that.
Pricing is published, rare at this tier, and outcome-based with a twist: Start is $1,500 a month plus $0.95 per resolution, Scale is $4,000 plus $0.80, there are no implementation fees, and you can refuse to pay for resolutions you are unhappy with.
Choose Lorikeet when your support is high-stakes and process-bound: if your team works from runbooks and a compliance officer reviews the transcripts, an agent built to follow procedures exactly is worth paying for. Teams with simple FAQ queues will find cheaper fits elsewhere.
Read the full Lorikeet listing → · See Lorikeet alternatives →
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