Callora — AI voice calling that closes the loop
Answer inbound calls, run outbound campaigns from a list, book appointments and log every outcome — and hand a call to a person the moment it needs one.
Answer inbound calls, run outbound campaigns from a list, book appointments and log every outcome — and hand a call to a person the moment it needs one.
Most businesses don't lose deals on the first call — they lose them on the eleventh, the one nobody made. Enquiries arrive after hours, follow-ups sit in a spreadsheet, and the same six questions get answered by a human dozens of times a day. Callora exists for exactly that work: the high-volume, repetitive, time-sensitive calling that a team either can't get to or shouldn't be spending senior people on.
Callora combines telephony with a language model agent that follows a script and a knowledge base you approve. The agent can look up a record, answer from your documents, take a booking and record an outcome. Every call is transcribed, summarised and tagged, and the numbers that matter — call volume, containment, handoff rate and outcomes — are measured rather than estimated. Nothing is generated outside the boundaries you set: if the answer isn't in your material and isn't permitted, the agent hands over instead of guessing.
Typically in front-desk and follow-up workflows: real estate enquiry qualification, recruitment screening, insurance renewal reminders, D2C order confirmation, clinic appointment reminders and callbacks, and collections reminders. If your process involves calling a lot of people with roughly the same conversation, it's a candidate.
Callora runs as a managed service, or deploys inside your own cloud environment where data policy requires it. Data residency, retention periods and which model provider is used are configured per deployment. Compliance requirements — including healthcare or regulated-industry use — are scoped with you against what is actually implemented; we don't claim certifications we haven't put in place.
You can try the product experience and walk through realistic call scenarios before you talk to us. If you'd rather skip ahead, tell us which calls you'd automate and we'll model the workflow on a discovery call.