Voice Apps Don't Just Need AI Voice Vendors.
They Need Orchestration!

Stop getting locked into a single STT, LLM, or TTS provider.
Revello intelligently routes, caches, and fails over—so you can instantly use the best model for speed, cost, or quality without rewriting code.

📅 New models drop every month

Revello adds them to your stack automatically.

💰 Costs vary 10x between vendors

Revello routes to optimize for your priority: speed, cost, or quality.

🔥 Vendor outages are inevitable

Revello's auto-failover keeps your voice app running 24/7.

Future-proof your voice infrastructure with orchestration, not lock-in.

The Model Fatigue Problem

Every week there's a "faster, cheaper, better" model. But switching is a nightmare.

Monday
⚡ Groq Whisper-V3
  • 50ms latency
  • $0.0001/min
Wednesday
🎯 Deepgram Nova-3
  • Real-time streaming
  • 99% accuracy
Friday
💫 OpenAI Turbo
  • 25ms latency
  • 80% cheaper
Next Monday
🔥 AssemblyAI-V3
  • 15ms response
  • Free tier

The Switching Paralysis

  • New APIs to integrate
  • Different authentication methods
  • Incompatible audio formats
  • Unknown real-world performance
  • Risk of breaking production

The Result

  • Stick with "good enough" models
  • Miss cost savings opportunities
  • Lag behind competitors
  • Pay 3x more than necessary
  • Deliver slower experiences

Abstract the Model. Optimize the Outcome.

Let RevelloVoice handle model selection while you focus on building.

Why Pay $10 for a 10¢ Question?

Simple Queries

"What's my balance?"
"Store hours?"
"Reset password"

Current Cost: $0.50/query
Optimal Cost: $0.001/query

Standard Support

"Track my order"
"Change appointment"
"Product details"

Current Cost: $0.50/query
Optimal Cost: $0.05/query

Complex Analysis

"Legal consultation"
"Technical diagnosis"
"Strategic planning"

Current Cost: $0.50/query
Optimal Cost: $0.50/query

RevelloVoice automatically routes each query to the right model tier.
Save 90% on simple queries. Premium quality where it matters.

⚡

Lower Latency

Smart routing + edge caching = 40% faster than direct vendor calls

💰

Cost Savings

Route simple queries to cheap models, complex ones to premium—save 60-80%

🛡️

Reliability

Instant failover when vendors go down—no more 3am outage alerts

🔄

Auto-Updates

New SOTA models? You get them automatically without code changes

⚡ How We Make You Faster

Despite adding a routing layer (just like CloudFlare does for websites)

800ms
Direct OpenAI Call
(when servers are slow)
→
480ms
RevelloVoice Route
(auto-routes to Groq)
40% Faster Despite Adding a Layer
🌍

Global Routing

Like CloudFlare for websites, we route your voice requests to the closest, fastest server.

🧠

Smart Caching

Common phrases cached. "What's my balance?" = instant 5ms response (no API call needed).

📊

Live Monitoring

We check every vendor's speed constantly. Auto-switch to fastest option - saving 200ms+ per request.

⚡

Pre-select Best Model

We know which vendor will be fastest before you even make the request. Zero routing delay.

How RevelloVoice Works

One API. Every model. Always optimal.

1

You Make Your Regular API Call

Send requests to RevelloVoice just like you would to OpenAI or Deepgram

2

We Analyze Requirements

Latency needs? Cost constraints? Quality thresholds? We factor it all in.

3

Smart Model Selection

Route to the optimal model based on real-time performance data

4

Continuous Optimization

As new models emerge and improve, your app automatically benefits

⚡

Latency Optimization (Like CloudFlare)

Despite adding a routing layer, we reduce total latency by intelligent caching, edge deployment, and selecting the fastest vendor per region

# Your code never changes, even as models improve
# Before: Locked into one vendor
response = openai.audio.transcribe("audio.mp3")
# Stuck with OpenAI even if Groq is 10x cheaper

# After: Always use the best model
response = revellovoice.transcribe("audio.mp3")
# Automatically routes to Groq, Deepgram, or OpenAI
# based on real-time performance and your needs

Quick Questions

Help us understand your needs (takes 10 seconds)

Q1. Which are your biggest pains today in running voice AI? (select all that apply)

Latency / UX delays (>400ms)
Vendor outages / downtime
High/variable costs
Switching to new models
Managing multiple vendors
None of the above

Q2. Do you set latency budgets (e.g. <400ms P95)?

Yes, strict
Yes, somewhat
No, latency isn't critical

Q3. How often do you consider switching to new vendors/models?

Frequently (monthly or faster)
Occasionally (every few months)
Rarely (once a year or less)
Never

Q4. When a vendor fails, how do you handle it?

Manual failover (code/config changes)
Prebuilt redundancy (multi-vendor setup)
Don't handle — downtime breaks app

Q5. Which matters most to you? (pick one)

Latency
Cost savings
Reliability (failover)
Easy adoption of new models

Q6. If this solved your biggest pain, how much would it be worth?

$500+/month (mission-critical)
$100-500/month (serious problem)
$10-100/month (nice to have)
$0 (wouldn't pay)

Additional thoughts? (optional)

0/500 characters
✓ Thanks for the feedback! We really appreciate your input.

We're not collecting emails to spam you.
Just want to know if this solves a real problem you're facing.