No re-explaining
The next agent arrives with the whole thread, whichever channel it came in on and whoever handled it last.
Platform / The conversation record
We make conversations usable. Palera unifies voice, SMS, live chat, WhatsApp and social media into one conversation record per customer, labeled with its outcome. Most contact centers call themselves omnichannel, but each channel keeps its own history, so every time a customer moves between channels, somebody starts over.
Two AI agents, two people, three channels, two days. The fourth rep opens with the fix already on screen.
What breaks without it
Without one conversation record, a customer who uses four channels over two days starts over four times. In this example, a customer calls a person, texts an AI agent, chats with a different AI agent, then calls back. Four times the customer explains the problem, four times an agent reconstructs it, and nobody owns the outcome.
On one conversation record, the fourth agent opens with the summary and the fix already on screen. In Palera's product demonstration, the case resolves in 29 seconds of human time, because 29 seconds is all that was left to do.
The argument in full
When each channel keeps its own history, customers repeat themselves every time they switch, and your handle times and repeat contacts climb. This video shows what that costs your floor and how one conversation record per customer fixes it.
Why context dies between channels, what it costs your floor, and what one record changes.
What the record gives you
Palera's conversation record stays with you when agents, channels, AI vendors or models change.
The next agent arrives with the whole thread, whichever channel it came in on and whoever handled it last.
Nothing is written up afterwards and nothing is exported between systems. The history is the record.
Swap an AI vendor and the conversations, the scores and the reporting stay on your side.
The Palera MCP server exposes the conversation record through the standard interface AI agents already speak, scoped per client and audited on every pull. No export, no copy, no restructuring.
In the product
Supervisors work from the conversation floor: filter by client, channel, user, disposition or date, open any thread and read it end to end, or join it while it is still live.

Palera's conversation record is the product, and it is also the price.
Audited, compliant and recognized. Every client's data is segmented and runs in its own separate instance.