Synthflow AI

Synthflow is a voice AI platform that lets enterprises automate phone calls with AI voice agents. It describes itself as the only end-to-end voice AI platform with in-house telephony, a proven deployment framework and return on investment within weeks. Use cases include customer service, appointment scheduling, lead qualification and other high-volume call operations.

The BELL framework

Synthflow organises deployment into four stages: Build, Evaluate, Launch and Learn. In the Build stage, you use the visual Flow Designer to define every step of a call, connect APIs and create agents that follow business logic. In the Evaluate stage, the Test Center tests each agent automatically with simulated calls that measure accuracy, response quality and compliance against your KPIs before customers call. In the Launch stage, agents deploy through Synthflow's own telephony network; because Synthflow controls routing, latency and regional delivery, it says calls meet enterprise standards for reliability and speed. In the Learn stage, live performance is analysed to keep improving agents.

Scale

Synthflow says its platform has handled more than 500 million customer calls and saved over 4 million hours. It also claims 45% more answered calls, because agents respond instantly, and 99.99% uptime. It has more than 1,000 reviews on G2 with a 4.5 rating.

Pricing

Enterprise contracts start at $30,000 a year. Final pricing depends on call volume, concurrency, telephony setup, integrations, security needs and launch support. Contracts include enterprise SLAs and support terms, a choice of Synthflow native telephony, SIP trunking or approved enterprise telephony, custom concurrency planning, routing, escalation paths, handoffs and fallback logic, and integrations with CRM, calendar and contact centre systems. Contact sales or book a demo.

Who it suits

It suits enterprises and contact centres with large call volumes that want to automate routine calls while keeping human escalation.

Things to consider

Many places require callers to be told they are speaking to an AI, and outbound automated calls are regulated, for example under the TCPA in the US. Recording and transcribing calls needs consent in some regions. Plan clear handoffs to human agents for complaints and sensitive cases.

Because agents can connect to APIs during a call, they can look up orders, book appointments or update records rather than only reading a script.