Turbo

Turbo is an API-first AI calling platform from Bland that bundles speech-to-text, the LLM, and text-to-speech into a single per-minute rate, with no token charges or model-provider pass-throughs. It targets developers and enterprises running phone agents at scale, offering tiered plans from a free Start tier with 10 concurrent calls to a custom Enterprise option. Telephony is billed separately, either through your own carrier or Bland's at pass-through cost. The platform is built for high-volume, customizable voice automation. Key features include real-time interruption controls with five levels, adaptive resumption that automatically adjusts response timing to the caller's pace, dual-channel audio, and live/warm transfers to human agents. For compliance, Turbo is SOC 2 Type II, HIPAA-eligible with a BAA, GDPR, and PCI DSS compliant; Enterprise adds data residency, SSO, and on-prem/VPC deployment. Recent updates include Evals, an LLM-judged call quality assessment, a visual Knowledge Map and Query Logs, caller authentication in Pathway scheduling, and iMessage support on Enterprise. You can build with custom LLM providers like OpenAI or Anthropic and connect to your existing telephony via Twilio, SIP trunks, or other providers. Most teams deploy a first agent within a day on self-serve plans. Memory sync to HubSpot and Salesforce is available, and features like warm transfers and guardrails unlock on higher tiers. Versus Vapi or Retell, which charge separately for LLM, STT, TTS, and telephony, Turbo's all-in pricing simplifies cost forecasting. That trade-off is worth it if you want predictable per-minute costs and don't mind an API-first approach. The downside: it's overkill for low-volume or no-code users who just want a plug-and-play bot.