Bandwidth Launches Build Platform for AI Agent Communications
Bandwidth Inc. announced in a press release the launch of Bandwidth Build, a new platform that enables AI agents and developers to autonomously activate communications services and deploy voice applications on the Bandwidth Communications Cloud.
The Build platform allows AI agents to securely access Bandwidth APIs through the company's MCP Server to provision communication services and automate workflows. It supports access through a self-serve interface, API, command line, and SDKs. Once authenticated, users can launch voice applications within minutes using the same global infrastructure that supports enterprise communications.
Bandwidth Build includes a trial package with a pre-configured United States phone number, usage credits, and immediate access to Bandwidth's Voice API. The platform supports inbound and outbound calling, text-to-speech, transcription, recording, and conferencing functions on Bandwidth’s global network.
According to Bandwidth, the new service provides AI agents and developers a faster path from experimentation to production by reducing the time required to deploy communication capabilities.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 Nextech3D.ai Adds Agentic AI to Map D Event Platform Oct 16 McGraw Hill Adds AI Study Tools to Connect Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 ALTOUR Unveils AI Platform for Corporate Travel DecisionsEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
BAND Launches Desktop App for Managing Multiple Coding Agents
Bind AI launches insurance automation service after raising $10 million
BAND Integrates Docker Sandboxes for Isolated AI Agent Workflows
cPanel Releases AI Tools for Website and Application Hosting
Plume Launches Console for ISP AI Agents
Daily AI Brief: the AI news that matters, in your inbox.