Built by Engineers,
for Engineers

We're not career consultants who read about AI online. We're practitioners who've built and scaled voice systems at companies like Google, Amazon, Twilio, and Nuance.

Backroom Labs was founded with one mission: be the implementation partner we wish we had when building voice AI at scale. We're outcomes-obsessed, radically candid, and default-to-ship.

10+
Years Combined Experience
100M+
Voice Requests Processed
FAANG
Engineering Pedigree
100%
Client Satisfaction

Our Mission

"Make enterprise voice AI implementation as seamless as using the technology itself. Every business deserves access to world-class voice experiences."

How We Work

The principles that guide every engagement

🎯

Outcomes Over Output

We measure success by your business results, not hours billed or features shipped. If it doesn't move your metrics, we don't do it.

💬

Radical Candor

We tell you what you need to hear, not what you want to hear. That means honest timelines, realistic expectations, and direct feedback.

🚀

Default to Ship

Perfect is the enemy of good. We move fast, iterate based on real data, and optimize in production rather than endlessly planning.

🤝

Own the Outcome

We don't hand off and disappear. We stay accountable for results, provide ongoing optimization, and treat your success as our success.

📚

Teach, Don't Gatekeep

We transfer knowledge, document everything, and build your team's capabilities. Our goal is to make you self-sufficient, not dependent.

🔧

Platform Agnostic

We recommend what's best for your use case, not what we're locked into. If one platform fits better, we'll tell you.

Meet the Team

The people behind your voice AI success

AC

Alex Chen

Founder & CEO

Former ML Engineer at Google where he built voice systems processing 100M+ requests/day. Stanford CS. Passionate about making AI accessible to enterprises.

SM

Sarah Mitchell

Head of Solutions

15+ years in enterprise software. Previously led conversational AI teams at Nuance and Amazon Alexa. Expert in voice UX and enterprise deployment.

MJ

Marcus Johnson

Principal Engineer

Ex-Twilio Staff Engineer. Architect of real-time voice infrastructure serving Fortune 500 clients. Specializes in low-latency, high-availability systems.

ER

Emily Rodriguez

Head of Customer Success

Built and scaled customer success at three AI startups. Obsessed with customer outcomes and turning deployments into case studies.

Our Process

A proven methodology for deploying voice AI that delivers ROI from day one

01

Discovery

We dive deep into your use cases, workflows, integration requirements, and success metrics. No generic templates—every engagement starts with understanding your specific needs.

02

Design

Our voice UX experts architect conversation flows, design voice personas, and engineer system prompts that feel natural and on-brand.

03

Build

We develop custom integrations, connect to your existing systems, and rigorously test across edge cases before any production traffic.

04

Scale

Launch with confidence, monitor real-time performance, continuously optimize based on data, and scale capacity instantly as you grow.

Platform Agnostic

We Work With
The Best Platforms

We're not locked into any single vendor. We evaluate and recommend the best voice AI technology for your specific use case, budget, and scale requirements.

  • Platform-agnostic architecture
  • Best-of-breed voice technology selection
  • Enterprise-grade security & compliance
  • Custom voice development
  • Multi-cloud deployment options
  • Ongoing optimization & support

Platforms We Integrate

OpenAI
GPT-4o, Whisper, TTS
Google Cloud
Speech Services
AWS
Polly, Transcribe, Lex
Azure
Cognitive Services
Deepgram
Speech Recognition
Twilio
Voice & Telephony

+ custom integrations based on your stack

Ready to Work Together?

Let's discuss how we can help transform your customer experience with voice AI.

Get in Touch