Listen. Speak. Act
Blue Mesh Voice Agents carry real phone calls: low-latency, real-time voice over SIP for support and hands-free workflows, running on your own models. Recognition, reasoning, and reply all run in your environment, private and under your governance, and every decision the agent takes lands in an audit trail you own.
The speech engine inside every call
Recognition, synthesis, and speaker separation are not a product you integrate next to the agent. They are the engine inside it, formerly sold separately as Echo AI, now built into the capability and run on models you own.
Speech-to-Text
Live audio becomes clean, context-rich text as the words are spoken. Recognition keeps pace with the conversation, which is what lets the agent answer before the caller starts wondering whether anyone is there.
- 01.01Real-time transcription
- 01.02Context carried into the text
Text-to-Speech
The reply comes back as natural, human-like speech, in a voice held consistent across every call your brand answers. You choose the voice engine per language, region, or use case rather than being locked to one provider.
- 02.01Natural, human-like delivery
- 02.02Consistent voice for your brand
- 02.03Multiple TTS providers
Speaker Separation
Diarization splits multi-speaker audio into clean per-speaker transcripts. Every line is attributed, so who said what survives from the call into the record, and from the record into the audit trail.
- 03.01Per-speaker attribution
- 03.02Diarized transcripts on record
The Agent Around It
On top of the engine sits the agent: trained on your own knowledge and processes, holding context across calls so callers do not repeat themselves, and configured per department or campaign. Numbers, routing and call flows are managed from a UI.
- 04.01Trained on your own knowledge
- 04.02Context retained across calls
- 04.03Per-call configuration
- 04.04Telephony managed from a UI
The hardest caller a voice agent can face
Lonesome No More provides AI phone companionship for older adults and isolated people, and Blue Mesh runs the voice agent behind it. No apps, no computers, no learning curve: each client gets their own dedicated phone number and a companion that answers it, 24 hours a day, 7 days a week.
Each client has a dedicated phone number. They can call any time or receive scheduled calls, on an ordinary telephone, with nothing to install.
Older callers are the hard case for real-time voice: hearing difficulty, slow speech, long pauses, interruption. A companion line only works if the agent listens through it all.
Families receive weekly summaries of the conversations and wellness observations, drawn from the calls the agent carried.
What a support operation actually gets
Not a demo voice. A phone line your team can run, govern, and answer for.
Routine calls carried, your team on exceptions
High-volume call work is managed continuously by the agent, so your people work the exceptions: the angry caller, the edge case, the judgment call. The queue stops dictating your staffing.
A record compliance can use
Every decision and result is logged for compliance audit, behind role-based access and encryption. When someone asks what the agent said and why, the answer is on record, not buried in a recording nobody can search.
Spend that stays inside your walls
Calls run on smaller private models deployed in your environment instead of metered public API tokens. The models are yours, inference runs where your data lives, and the audio sits behind access controls you set.
Callers who never start over
Context is retained across calls. A customer who calls back picks up where the last call ended instead of re-explaining it to a machine that forgot them.
Where this is not a fit
There is no self-serve tier and no metered public speech API. Voice Agents deploy private cloud, on premises or fully air-gapped, and a first deployment starts with a conversation.
- BM Studio The canvas the agent behind the line is assembled on: build and orchestrate AI agents, drag and drop, no machine learning hires required.
- Customer service Voice agents on the phones: routine bookings and lookups carried to done, complex calls handed to a person.
- Telecom operations The same calls read afterwards for sentiment, intent, call quality and agent performance trends.
- BM Device The device end of the same platform: ask a question out loud in the room and get the answer back out loud.
Put it on a real call
Bring a workflow your phones carry today. We will show the agent listening, speaking, and acting on it, on models you own, in an environment you govern.