Estudio
US$99 /mo
Your first digital workspace. Built for solo founders.
- 5 team members
- 3,000 contacts
- US$10 of Energy included
- CRM and conversations included
- Community support
Plans
Meteor pricing: a plan for every stage
From US$99 a month, and two months free when you pay annually. No surprises: you pay for what your operation actually uses.
How much does an AI agent cost for a business?
At Meteor, plans run from US$99 a month (Estudio) to US$3,000 a month (Campus), depending on the size of your team and your contact volume. Pay annually and two months are free. For developers there is a US$0 plan with API and SDK access. AI usage is billed as Energy, and every plan includes an Energy allowance in every period you pay for.
Plans
A plan for every stage of your business
From US$99 a month, and two months free when you pay annually.
Oficina
US$299 /mo
For teams already selling across several WhatsApp lines.
- 7 team members
- 10,000 contacts
- Unlimited WhatsApp lines
- US$30 of Energy included
- Standard support
Edificio
US$500 /mo
For an operation with several areas working at once.
- 15 team members
- 30,000 contacts
- Unlimited WhatsApp lines
- US$60 of Energy included
- Support tailored to you
Ciudadela
US$1,000 /mo
For companies with large teams and high contact volume.
- 30 team members
- 70,000 contacts
- Unlimited WhatsApp lines
- US$120 of Energy included
- Priority support
Campus
US$3,000 /mo
For organizations with a hundred people in the same inbox.
- 100 team members
- 250,000 contacts
- Unlimited WhatsApp lines
- US$450 of Energy included
- Priority support
Every plan includes the Ágil, Brillante and Genio AI models. AI usage is billed as Energy based on what you actually use, and every plan includes an Energy allowance in every period you pay for. Pay annually and two months are free.
How it compares
Against building it yourself, and against legacy software
Anyone can get the model today. The difference is the engineering around it: which model handles which task, what it remembers about each customer, how a team of Mets is maintained, and what you get to see of what they did.
| Capability | You build it A model API, and you write and maintain everything else. | Software with AI on top A product built for something else, with AI as a separate module. | Meteor AI-native: the Met is the product, and the engineering is already done. |
|---|---|---|---|
| A model that understands natural language The starting point for all three options, and the advantage of none: anyone can get the model today. | Yes. It is exactly what you buy | Yes. It ships in the AI module | Yes. The base, not the product |
| Official WhatsApp Business API, Instagram and Messenger connection This is not plugging in an API: it is number verification, the business account and the rules of each channel. | No. You file for verification yourself | Yes. Usually comes solved | Yes. Connected and verified |
| The same Met that talks reads stock, pricing and receivables from the ERP No copy-pasting between screens: the figure is read by the same one doing the answering, at the moment it is needed. | No. One connector per system, yours | Partly. The product does; the AI, separately | Yes. It is the same conversation |
| The right model for each task, not one model for everything Holding a conversation, transcribing audio, reading a photo of a handwritten slip and generating an image are not the same task, and one model does not do all of them well. There are more than 25 connected; the system picks by task type and drops to the lightest one that will do. | Partly. You can, but you wire it | No. Whichever the vendor integrated | Yes. And it degrades on its own under load |
| Remembers what it already did for that customer and fills in their record It arrives at the conversation with the last tools it ran for that contact, so it does not requote what it already quoted. On close, it fills the empty CRM fields and scores intent, never overwriting what a person wrote. | No. Every call starts from zero | Partly. Stores the history; does not use it | Yes. Memory and capture, out of the box |
| A team of Mets, not one agent doing everything Each Met has its role and its own tools, and whoever takes the message hands the work out by skill. You can take a tool away from one without touching the others, and test it in a sandbox conversation before it serves a real customer. | No. One prompt that grows unchecked | No. An assistant, not a team | Yes. Roles, tools and a sandbox |
| You see what each Met did, what it cost and whether it went well Every run is logged with its Met, its type and its cost, along with the success rate and service quality of each one. And in the chat you can open the reasoning: which tool it called, what it called it with and what came back. | Partly. Only what you instrument | No. Measures the license, not the agent | Yes. Per Met and per run |
| You do not run servers, or retries, or the day a third party changes its API Backoff retries, signing every webhook, discarding duplicate messages and renewing expiring tokens all run on their own. And when the channel or the ERP changes its API, we are the ones who find out and fix it. | No. You write it and you watch it | Yes. Also their job | Yes. Included, without asking |
Meteor’s column only marks “yes” where the capability is built and running, and it describes only what you can see from your own account. The other two describe what each path is by definition: starting from a model API gives you the model and nothing else; legacy vendors bring the product and the AI separately. It is not an assessment of any specific vendor.
Pricing questions
What you need to know before choosing
Plans run from US$99 a month (Estudio) to US$3,000 a month (Campus), depending on the size of your team and your contact volume. Pay annually and the year costs the same as ten months: two months are free.
There is a Developer plan at US$0 for API and SDK access, granted when you apply as a Tech Partner or a Startup Partner. To run the full platform with your team, plans start at US$99 a month.
Yes. You start on the plan you need and scale up (or down) as your volume and your active channels change. You are not locked into one stage.
It is how AI usage is billed in Meteor: every job an agent does consumes Energy according to its complexity. Every plan includes an Energy allowance in every period you pay for, from US$10 to US$450 depending on the plan, and you can top up whenever you need to.
Each implementation is quoted on channels, volume and level of automation. We walk you through discovery, setup, flow design and launch.
No. Our team configures the flows and trains the agents on your catalog and your brand voice. You focus on selling.
Not sure which plan you need?
Tell us how your operation works and we will recommend the plan and the scope that fit.