A clear breakdown of what Brainforge fixes, how fast, and what it actually delivers.
Voice agent builds
Intake, triage, and customer-service voice agents that understand callers, route to the right person, and log the conversation.
Voice agents that sound right and escalate when it matters
Brainforge builds voice agents for intake, triage, and customer service — natural speech on ElevenLabs, Vapi, and Deepgram, with call logs, human escalation, and evals so quality is measurable.
In plain terms
What AI Voice Agents means in practice
Where teams get stuck
Voice agents for intake, triage, and customer service, with human escalation and call analytics.
Calls go to voicemail when the team is busy or after hours.
Intake is inconsistent and nobody captures the details right.
We can't tell what callers actually need or where calls drop.
Voice agents sound robotic and escalate at the wrong moments.
What we deliver
Core AI Voice Agents
Speech infrastructure
Speech recognition, synthesis, and telephony wiring on ElevenLabs, Vapi, and Deepgram, tuned for your callers and jargon.
Voice operations
Call analytics, escalation paths, and evals so every call improves the next one.
How deep it goes
Capabilities behind the work
The same delivery primitives (context, controls, and review) show up across every engagement.
Voice agent development
Intake, triage, and customer-service agents with natural conversation flow and structured capture.
Call intakeTriage and routingCustomer service
Speech technology
Recognition, synthesis, and telephony on ElevenLabs, Vapi, and Deepgram.
ElevenLabsVapiDeepgram
Escalation and logging
Human handoff paths and full call logs so nothing falls through.
Human escalationCall loggingHandoff to CRM
Analytics and evals
Call metrics and quality evals that drive improvement.
Call analyticsQuality evalsDrop-off analysis
What changes
Outcomes you can point to
- Calls answered with consistent, structured intake.
- Human escalation exactly when judgment matters.
- Call analytics that show volume, intent, and drop-off.
- Measurable call quality that improves over time.
Proof in production
See where this work shows up.
Related ways to engage
A clear front door into this work
Common questions
AI Voice Agents, straight answers
What does AI voice agent development cost?
Engagements start with a scoped build sprint, so you pay for a bounded piece of work rather than an open-ended retainer. Most teams begin with one call flow — intake or triage — then expand once they see structured captures and call analytics in use.
How long does a voice agent implementation take?
A first voice agent with speech, conversation flow, and escalation typically ships in 3–6 weeks of sprint work, then tunes on real calls.
Which voice platforms do you use?
We build on ElevenLabs for speech synthesis, Vapi for telephony orchestration, and Deepgram for recognition, and adapt to your existing telephony and CRM as needed.
What happens when the voice agent can't help?
Escalation is built in. The agent hands off to a human with full call context, so the caller never repeats themselves and the team sees what happened.
Do you record and analyze calls?
Yes. Call logs and analytics are part of every build — volume, intent, drop-off, and quality evals — so you know what callers need and where the flow breaks.
How we work
A path from pressure to a working system
01
Map the call flow
We map the questions callers ask, the answers they need, and where humans must step in.
02
Build and tune the voice agent
We wire speech, conversation flow, and escalation, then tune on real call patterns and jargon.
03
Launch with analytics
We put the agent on the line, monitor call quality, and improve from real conversations.
Our Trusted Partners
We only bring the best of the best
READY TO PUT
AI Voice Agents to work?
AI Voice Agents to work?
In one working session we'll name what's broken, what's possible, and the first system worth building.
