Most revenue agents can write. Ours can call.
The agent category has converged on the same shape: something that reads your CRM, drafts an email, scores a lead and writes a row back. That work is real, and it is also the easiest part of the job to automate. It is text in, text out.
The part that actually moves a pipeline is the conversation, and almost nobody has built for it. Parallel dialing across live lines, answering an AI call screener, dropping a voicemail in the rep's own voice, handing a warm human to a rep in under half a second, coaching that rep in their ear while the call is still happening: that is infrastructure, not prompting, which is why the rest of the category skips it.
TwinsAI started at the hard end. The dialer, the live coach and the botless notetaker are shipped products. The agents on this page are those capabilities pointed at your accounts and wired into your CRM, so the conversation and the record finally live in the same system.
Tell them what you want. In plain English.
Four families, one workspace. Each one runs on your accounts, in your CRM, with the same context your reps have.
It works the list, and it dials.
“Work this list. Handle the screeners. Warm transfer me anyone who is ready.”
The outbound agent runs the queue end to end: it rings multiple lines at once, talks its way past AI call screeners, drops a voicemail in your rep's cloned voice when nobody picks up, and hands a live human to an available rep in under 450ms. Every attempt, outcome and recording lands on the record without anyone typing.
- Parallel dialing up to 10 lines, or power mode for high-intent lists
- AI call-screener handling and voicemail drop in the rep's voice
- Local presence, number rotation and carrier warm-up
- Warm transfer to a live rep in under 450ms
- DNC scrubbing and compliance fences on every dial
Four steps, and an engineer on every one.
You are not handed a builder and wished well. Setup is done with you, and the agents are operated for you afterwards.
One resolved account, not eleven tabs.
Every call, meeting, email, CRM record and external signal is resolved onto a single account and the people inside it. That resolved view is what the agents read before they act, which is the difference between an agent that personalizes a first line and one that knows the champion went quiet three weeks ago.
Sold as a bundle, because that is how it works.
Agents on their own are a demo. The reason this lands is that the calling, the data and the CRM mapping ship together, already wired to each other.
Pricing is scoped to the agents and volume you actually run. We would rather talk through the fit than publish a number that is wrong for you.
Talk to us about a bundle↗Runs on the stack you already have.
Salesforce
HubSpot
Close
Zoom
Google Meet
Microsoft Teams
GmailOutlook
Slack
ApolloZoomInfoClayWhat a revenue agent actually has to do
| Capability | TwinsAI | Agent platforms | Data platforms | CRM-native agents |
|---|---|---|---|---|
| Places the calls itself | Yes. Parallel and power dialing are the core product | Usually a single dialer feature bolted to a text-first platform | No. Lists are handed off to a separate dialer | No |
| Handles AI call screeners | Yes | Not advertised | Not applicable | Not applicable |
| Coaches the rep during the live call | Yes. Cards and battlecards in the rep's ear | No. Call analysis is after the fact | No | No |
| Captures the meeting itself | Yes, botless, with no meeting tile | Typically integrates with Gong, Zoom or Avoma rather than capturing | No | No |
| Enriches and scores accounts | Yes, passed through at cost | Yes, several pass enrichment through at cost | Yes. This is the category's core strength | Limited to data already in the CRM |
| Writes back to custom objects and fields | Yes, mapped by an engineer during setup | Yes | Depends on the downstream tool | Yes, natively and with no sync lag |
| Someone maps your CRM for you | Yes. An engineer does it, and stays on | Varies. Often enterprise tier only | No. You build and maintain the workflows | No. Usually a partner or an internal admin |
| Depth of native CRM workflow automation | Partial. We write into your CRM, we do not replace its automation | Partial | No | Strongest. It is their own platform |
| Warehouse-native deployment | Not yet | Yes at the enterprise tier | No | Via the vendor's own data cloud |
| Maturity | Early. Shipping with a small group of teams | Established, well funded | Established | Established |
Competitor columns describe classes of product, not single vendors, and were checked against the vendors' public marketing pages on 2026-08-24. Two rows are deliberately not in our favour. If any of this has gone stale, tell us and we will correct it.
Common questions.
What is a revenue agent?+
A revenue agent is an AI agent that does a piece of revenue work end to end rather than assisting with it: sourcing and enriching accounts, running the outbound calls, sitting in the meeting, and keeping the CRM current afterwards. The useful distinction is not whether it drafts text, which nearly all of them do, but whether it can complete the action, including picking up the phone.
How is this different from an AI SDR?+
Most AI SDR products are email and LinkedIn sequencers with an LLM writing the copy. The calling step, if it exists, is handed to a separate dialer. TwinsAI's agents run the calls themselves on the same infrastructure that powers our parallel dialer, and the same system captures the meeting that the call books, so the whole motion stays in one place with one record.
Do I have to replace my CRM?+
No, and we would advise against it. Salesforce, HubSpot and Close stay the system of record. The agents read from your CRM and write back into your objects and fields. What we add is the layer above it: the conversations, the research and the actions that never made it into the record because nobody had time to type them in.
What does mapping my CRM actually involve?+
An engineer works through your live instance with you: custom objects, the fields your reporting depends on, stage definitions, required properties and validation rules. They map each agent outcome to the right destination and scope what each agent is permitted to write. It is usually a short engagement rather than a project, and the engineer stays available afterwards to change the mapping when your process changes.
Which agents can I start with?+
Most teams start with the outbound and calling agent, because that is the fastest thing to see working, and add the CRM and deal agents once the write-back mapping is in place. The research agent is usually added when the list itself becomes the bottleneck rather than the dialing.
How early is this?+
Early, and we would rather say so. The underlying pieces are shipped products: the parallel dialer, the live coach and the botless notetaker are in daily production use. Bundling them as agents with enrichment and an engineer-led CRM mapping is newer, and it is running with a small group of teams. If you want a polished, feature-complete platform with a long customer list, we are not that yet. If you want the calling to actually work and an engineer who will map it to your stack, that is exactly what this is.
Who operates the agents?+
We do. Monitoring, failures and third-party vendor breakage are ours to handle. You see every run, every action and every output, and changes ship through an engineer in your Slack channel rather than a support ticket.
The products underneath.
Bring us your CRM and your worst list.
Thirty minutes. We will map what the agents would do inside your instance and dial your list while you watch.