Sales coaching
Compares every demo with the ones that closed and tells each rep what to change.
Agents can’t access most real-world knowledge. We capture it where it’s said, in meetings, calls, rooms and screens, with consent, and hand it to your agents.
Most of it is said, not written: in calls, meetings and rooms.
Meetings, calls, rooms and pocket recorders, with consent.
Accurate transcripts, each in the language it was spoken.
Every line named by voice, even offline.
As structured context, through API or MCP.
_æfer is built on the transcription company Netflix and ElevenLabs trust for its accuracy.
Connectors read what’s written down: mail, docs, tickets. _æfer brings in what’s said, which is where most decisions happen.
Capture everything the company says once, and every team’s agents build on it. A few of the jobs it makes possible:
Compares every demo with the ones that closed and tells each rep what to change.
Every promise made to a client goes out as a follow-up, with who made it.
Why X was decided, who decided it, and the meeting where it happened.
Every feature request said on a call, de-duplicated, with the clip.
The postmortem timeline, written from the incident call as it happened.
The whole account history, including what sales promised, on every escalated ticket.
Every action item from every meeting, with an owner and a date, nudged until done.
Who told the client what, and when, for every regulated conversation.
What Pau knew, from two years of his calls, for whoever takes over.
What every team decided, promised and worried about this week, on one page.
A bad transcript or a missing name makes a bad agent. Same four voices, two transcripts, and what an agent does with each.
Someone will send the deep pay to Kenny.
Marta sends the DPA to Kenji at Northwind tonight; Legal needs it signed by Friday.
You never pick a model. We run our own fine-tuned models and third-party ones, score them on real meeting audio, and send each language to the one that writes it best. When a better model ships, it takes over.
Three in the room, one on the call, and nobody logs in. Voice prints put a name on each voice, even offline.
Headless, in your name, inside your own app. A company brain built its whole Meetings feature with it in 5 minutes.
Your context. Your rules.
Your agents get the work. Nobody gets watched. A work filter keeps personal moments out, and nobody can change that, not even an admin.
Brains, agents and apps are built on top. _æfer provides the context.
Joins Zoom, Meet and Teams as you.
Your desktop app records meetings and calls on the computer.
What happens on screen, as events: app switched, slide shown, doc opened.
In-person meetings, in your app.
Plaud and Pocket, via Connect SDK.
Sidebar, meeting list and summary, as components.
<Sidebar /><MeetingList /><MeetingSummary />Decisions, commitments and risks, from every call.
type Event = { event: "decision" | "commitment"; owner; due; quote; }
Who said what, in which language, with the consent record. Garbage in, garbage out.
Bots, desktop, mobile and devices, as SDKs. Accuracy per language included.
White label, in your own client app, B2C included. The rules your company sets, with consent handled.
Connect your agent to the meetings, calls and rooms your rules allow. Ship in 5 minutes.
Connect your agent