Decagon vs Lorikeet (2026)
Comparing Decagon 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 pricing and an estimated monthly bill, channels, compliance claims, and integrations, plus when each is the better fit, so you can pick on the facts rather than either vendor's own sales page.
At a glance
| Attribute |
 Decagon
|
 Lorikeet
|
|---|---|---|
| What it is | Hire our generative AI agents to give customers a mind-blowing experience. Trusted by massive enterprises and high-growth startups. | AI concierge for high-stakes support in fintech, healthcare, and marketplaces that follows your procedures exactly. |
| Pricing | Per resolution · Custom | Per resolution · $2,100/mo + $0.99/resolution |
| Est. monthly cost | No published price to estimate | $5,070/mo $2,100/mo + $0.99 per resolution; Start plan, paid annually; voice resolutions $1.50 |
| Founded | 2023 | 2023 |
| Categories | AI Agents & Chatbots Enterprise | AI Agents & Chatbots Enterprise |
| Channels | ||
| Chat | ✓ | ✓ |
| ✓ | ✓ | |
| Voice | ✓ | ✓ |
| SMS | — | ✓ |
| — | ✓ | |
| Compliance (vendor-claimed) | ||
| SOC 2 | ✓ | ✓ |
| HIPAA | ✓ | ✓ |
| GDPR | — | ✓ |
| ISO 27001 | — | ✓ |
| PCI DSS | ✓ | — |
| EU AI Act | ✓ | — |
| Data residency | Not verified | US (custom residency on Signature plan) |
| Languages | 70+ languages | Not verified |
| What the AI can do | ||
| Takes actions | ✓ | ✓ |
| Hands off to a human | ✓ | ✓ |
| Choice of LLM | Not verified | Not verified |
| Buying | ||
| Free trial | Not verified | Free trial (length not stated) |
| How you buy | Not verified | Self-serve signup |
| Minimum commitment | — | Billed annually |
| Company | Independent, venture-backed | Independent, venture-backed |
| Works with | Zendesk Salesforce Intercom Shopify Stripe Kustomer | Zendesk Intercom Salesforce HubSpot Front Help Scout Kustomer Slack Genesys Cloud Amazon Connect Twilio Five9 Talkdesk Stripe |
| Key features |
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| Next step |
Full listing Visit site → |
Full listing Visit site → |
Estimates assume 5,000 conversations a month, 60% handled by AI and 10 agent seats, at each vendor's published list price (the cost calculator's model); treat them as a floor, not a quote. Compliance rows are what vendors publicly claim, and “Not verified” means we have not confirmed that fact yet, not that the tool lacks it.
Choose Decagon or Lorikeet?
Choose Decagon if
Best for: High-growth and enterprise consumer companies that want a concierge-grade AI agent across chat, email and voice, with refunds and billing changes executed through Zendesk, Salesforce, Stripe or Shopify, usage-based pricing with no seat fees, and HIPAA, PCI DSS and EU AI Act coverage.
- you need a vendor that publicly claims PCI DSS and EU AI Act
Look elsewhere if you want published prices, a free trial or a self-serve start: Decagon is white-glove and quote-based, and its verified facts do not include a stated data residency.
Choose Lorikeet if
Best for: Fintech, healthcare and marketplace companies where a wrong answer costs real money and want an agent that follows their procedures step by step across chat, email, voice, SMS and WhatsApp, with published outcome-based pricing, a trial, a self-serve start and SOC 2, HIPAA, GDPR and ISO 27001 coverage.
- you need SMS and WhatsApp coverage
- you need a vendor that publicly claims GDPR and ISO 27001
Look elsewhere if you are a small team: the Start plan is $2,100 a month plus $0.99 per resolution, billed annually, which is a real floor. Residency is US unless you are on the Signature plan.
About Decagon
Decagon builds what it calls an AI concierge: autonomous agents that resolve customer issues across chat, email, voice, and SMS, all sharing one brain and one memory of your customer. Instead of trapping your logic in brittle decision trees, Decagon uses Agent Operating Procedures, plain-language playbooks that describe how you want issues handled. Its voice agents answer with sub-second latency, handle interruptions gracefully, and can dial out as well as pick up, which makes them feel far closer to a competent human than to a phone tree.
The company's rise has been ridiculous in the best possible way. Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, alumni of Google, Palantir, Citadel, and Scale AI, Decagon went from a standing start to a multi-billion-dollar valuation in roughly two and a half years, with its worth reportedly tripling in a single seven-month stretch as investors piled in. The name itself is a quiet math joke, nodding to the ten-sided polygon.
What keeps the logos coming is deployment quality. Decagon leans into white-glove onboarding, exposes full conversation logs so teams can audit and improve every answer, and routes genuinely hard cases to humans cleanly rather than bluffing. Its customer roster reads like a tour of the modern internet: Notion, Duolingo, Rippling, Eventbrite, Substack, Chime, and Affirm among them, plus larger enterprises adopting its outbound and proactive agents.
Pricing is sales-led and usage-based, offered per conversation or per resolution with volume discounts, so it is squarely an enterprise purchase rather than a quick self-serve signup you try on a whim. For teams that want an AI agent that feels concierge-grade, keeps a persistent memory of each customer, and can be tuned in the plain language a support manager actually speaks day to day, Decagon has become one of the most talked-about names in the category.
Read the full Decagon listing → · See Decagon alternatives →
About Lorikeet
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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