Transparency
We tell people they are speaking with an AI. Hiding it might lift conversion briefly, but it damages trust for good.
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About us
Callser builds a voice AI platform that understands conversation and gets work done. We develop all three models — speech, language and voice — ourselves, which is why we can run the system on our customers' own servers.
Who we are
We were not built on top of someone else's API.
Most solutions in this market connect to an outside speech and language service. That means no control over latency, no way to improve Turkish — and, most importantly, sending data abroad.
Because we trained all three models ourselves, we can install the entire stack inside an organisation's own data centre. For us, KVKK compliance is not a marketing line — it is a consequence of the architecture.
What we stand for
Built on four principles.
Your data stays yours
We built the architecture to run on-premise from day one. Your customer list never leaving the building is the default, not an option.
Turkish first
We trained the models on Turkish speech. Turkish is not one of the supported languages for us — it is where we started.
Measurable outcomes
Every deployment starts with a KPI. We talk in numbers about which line sells and which flow loses people.
0+
Corporate clients
30+
Languages supported
3
Deployment models
7/24
Uninterrupted service
Figures reflect the typical range across current deployments.
How we work
Pilot first, scale second.
We decide which list and which script actually convert using real calls, not assumptions. Full volume typically arrives in three to six weeks.
- Discovery. We review your PBX, CRM and ad accounts and size the automatable volume.
- Script and training. We build the sales conversation, objection flows and brand tone.
- Pilot. Live calling on a limited list; we listen back and measure conversion.
- Scale. Full volume, dashboards and a weekly improvement cycle.
Ready to let AI make the calls?
In a 15-minute demo we play you a live conversation built on one of your own scenarios, then map out the deployment and consent side together.