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.
A voice agent at work
The real interface configuring a voice agent, then answering a live call (1.6x speed).
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 text as the words are spoken, in the caller's language. Recognition keeps pace with the conversation, so the agent answers without the pause that tells a caller they are talking to a machine.
- Real-time transcription
- Context carried into the text
Text-to-Speech
The reply is spoken back in a voice held consistent across every call your brand answers. You choose the voice engine per region or use case rather than being locked to one provider.
- Consistent voice, provider of your choice
- Consistent voice for your brand
- Multiple 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.
- Per-speaker attribution
- Diarized transcripts on record
The Agent Around It
The agent sits on the engine: grounded in your knowledge base and processes, holding context across calls so callers do not repeat themselves, configured per department or campaign, connected to your telephony over SIP. Numbers, routing and call flows are managed from a UI.
- Grounded in your own knowledge
- Context retained across calls
- Per-call configuration
- Telephony 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 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. The caller is matched on the number they call from or an identifier you choose, and the retained context lives in your environment under your retention rules.
Escalation to a person, with the transcript attached
When a decision needs judgment or crosses a policy line, the voice agent escalates to a person. The call arrives with intent, history and the transcript attached, so your agent reads the record instead of asking the caller to tell the story again, and every call, handled or escalated, sits on one audit trail.
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 The same calls read afterwards for sentiment, intent, call quality and agent performance trends.
- BM Speak 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.