# Algomo vs Decagon

Decagon diagnoses the category's disease correctly: complex SDKs, black-box implementations, a vendor ticket for every change. Its cure is its own harness and its own deployment engineers. Ours is neither.

## Like for like

Every Decagon cell was read from decagon.ai on 31 August 2026; the sources section below links each claim.

|  | Algomo | Decagon |
| --- | --- | --- |
| Main job | Support and inbound sales, on your site | Enterprise support concierge |
| Published pricing | Yes: a free plan, then $50 to $4,300 a month, you set it | No: the pricing page is a 404 |
| Try it before a sales call | Free plan, self-serve | No: demo-gated |
| Built and operated from | Your own coding agent, over MCP | AOPs and Duet, their own harness |
| What answers the customer | Frontier lab models | Frontier and specialized models, their words, in their engine |
| Who does the deployment | The agent, from endpoints it discovers on your site | Their agent deployment engineering org; ROI in weeks, their words |
| Acts in the visitor's live session | Yes: co-navigates the page, calls run as the visitor | No |
| Channels | Web chat only | Chat, voice, email |
| Handover to humans | Live takeover by your team, conversation attached | Zendesk, Salesforce, Intercom |
| Smallest customer it makes sense for | A five-person company, free | Enterprise: Chime, Duolingo, Hertz |

### Same diagnosis, different cure

Decagon's own words about the field: a complex SDK, a black-box implementation, and a vendor ticket for every change after. We agree completely. Their fix is a better internal harness, AOPs written in natural language, and their own deployment engineers. Our fix is no internal harness at all: the platform is an MCP server, and every change is a sentence you type to the coding agent you already run.

[The harness argument](/resources/comparisons)

### Where Decagon wins

Voice and email as channels, and enterprise machinery around a big CX org: AOP review workflows, escalation into Zendesk and Salesforce, deployment engineering as a discipline. If you run a thousand-seat support operation, they built for you. We answer in web chat, and we built for the companies their sales process does not reach.

### Proof before commitment

There is no Decagon you can try: every path in is a demo call. Algomo runs on your own site, against your own endpoints, on the free plan, before anyone from either company talks to you.

## Where these rows come from

Fetched 31 August 2026, from decagon.ai. The proprietary engine on frontier and specialized models is on [the product overview](https://decagon.ai/product/overview); AOPs and Duet are on [their AOP page](https://decagon.ai/product/aop), which also carries the complex-SDK quote; the channel list, chat, voice and email, is their own unified-intelligence claim; escalation into Zendesk, Salesforce and Intercom is on [the integrations page](https://decagon.ai/product/integrations); ROI in weeks is on [the demo page](https://decagon.ai/get-a-demo); agent deployment engineering is named on [the careers page](https://decagon.ai/careers). [Their pricing page is a 404](https://decagon.ai/pricing) and no number appears anywhere on the site. Algomo's cells are read from [this site's pricing page](/pricing).

## Questions, answered

### Do we need a deployment team?

No. The integration step is the part the agent automates, and our deployment engineers are optional help for private systems, not a required rollout.

### Can we see it on our own site first?

Yes, on the free plan, and you can test changes against your live site before saving them.

### What about systems the agent cannot discover?

Anything behind a login is either run in the visitor's own session, or set up with us on Business and Enterprise.