
Datadog for Voice AI
The Observability + Testing layer Every Voice Agent Needs
From simulation to production monitoring — Tuner gives you full visibility at every stage. Catch failures before you ship, and before your users find them.

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See every failure as it happens
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Catch issues before your customers do
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Fix fast, ship with confidence
Voice-native observability. Not adapted from text.
Observe
Understand Exactly What’s Happening in Every Call
See every intent, response, and outcome structured and searchable. Know what users asked, where the agent fumbled, and why, without listening to calls or digging through raw transcripts.


Monitor
Catch Problems Before Your Users Do
Set your own definition of failure: missed intents, hallucinations, broken tool calls, cost spikes. Tuner watches every live call and alerts you the moment something breaks your rules.

Analyze
One Dashboard for Your Entire Voice Operation
Every agent, every call, every trend in one place. Stop context-switching between logs, spreadsheets, and gut feel. See what’s working and what isn’t, across your whole system.



Simulate
Stop Calling Your Own Voice Agent. Simulate It.
Tuner runs real voice calls via AI callers — personas, accents, routine vs. pressure scenarios — built for your own use case. Uses the same production Evals and guardrails with no extra setup, so you catch failures before they reach live callers.

Improve
Know the Impact of Every Change You Ship
Prompt tweak, model swap, config update. Tuner tells you exactly what moved and why. Catch regressions before they reach users and validate wins with real production data.


Simulation + Production Visibility. Two Lines of Code.
The same integration runs AI caller simulations and live monitoring. No infrastructure changes. No lengthy setup. Connect your agent and start seeing real data in under 5 minutes.
1
Connect Your Agent
Add two lines of code or use a no-code connector. Works with Retell, Vapi, and custom stacks out of the box.
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Define What to Monitor
Choose from 30+ predefined metrics or let MCP auto-configure everything based on your agent setup.
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Run Call Simulation
Launch AI callers with realistic personas and scenarios through the same hooks.
4
Go Live with Confidence
Real-time alerts and dashboards from your very first call. No warming-up period, no manual tuning.
01
Reads Your Code, Prompts and README
Tuner reads your existing files to understand exactly what your agent is built to do. No forms, no onboarding calls, no guesswork.
02
Auto-Recommends Your Configuration
Tuner suggests the right setup instantly, choosing from 30+ predefined metrics or proposing custom evaluations tailored to your specific agent.
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Edit Anytime From Your IDE
Add evals, adjust thresholds, update monitoring logic without ever leaving your development environment. Your config lives where your code does.


Know the Moment Something Breaks
Get notified the moment your agent hallucinates, misses an intent, or costs spike, wherever your team lives.
ALERT DESTINATIONS
Slack
PagerDuty (soon)
Webhooks (soon)
Stress-Test Your Agent. Before Real Callers Do.
With your evals configured, Tuner’s AI Callers place real voice calls to your agent — scored against the same Evals, Call Outcomes, and Intents already running in production.
ROUTINE
Happy Path Testing
AI callers simulate your everyday customers — cooperative, on-topic, working through normal workflows.
PRESSURE
Find the Breaking Point
Unhappy customers, edge cases, people trying to bypass your process. If your agent has a breaking point, this finds it.
EDGE CASE
Control Your Scope
Test your entire use case or narrow it to a specific Intent or Call Outcome.
Simulation calls
Explore Call Simulation
Ship. Learn. Improve. Repeat.
Every call teaches you something. Tuner structures what you learn, surfacing exactly what failed, why it failed, and how to fix it. Then run simulations to validate your fix before it reaches production, so each deploy is better than the last.

01
Define & Simulate
Set intents, outcomes, and checks. Use simulations to exercise those definitions on every iteration.

02
Observe
Every call classified automatically. Patterns surface without you having to look.

Analyze
See exactly which intents fail, what drifted, and what changed between versions.

Improve
Tuner tells you what to fix. Act on evidence, ship the change, and validate it worked.
Try our Free evaluation framework builder
Get a tailored evaluation structure for your industry in seconds. No sign-up needed.
One Platform. Every Stakeholder Covered.
From debugging a failed call to proving ROI to the board, Tuner gives every role on your team exactly what they need, from the same source of truth.
Debug Faster. Ship Changes With Evidence.
What Tuner gives you
- ✓Full call traces: LLM, TTS, STT, tool calls
- ✓Tool call breakdown: status, failure, delay per API call
- ✓Alerts the moment a pattern breaks
- ✓Run hundreds of simulated calls before every deploy
What you act on
- ✓Hallucinations and silent API errors
- ✓Latency spikes and provider timeouts
- ✓Regressions after every prompt or config change

Enterprise-grade security
GDPR compliant. SOC 2 in progress. Your transcripts, evaluations, and metadata handled with production-grade controls.
Privacy policy
Frequently asked questions
What is Tuner?
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What is voice AI analytics?
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What’s the difference between analytics and observability?
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When does Tuner make sense to use?
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How long does setup take?
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Which voice platforms does Tuner support?
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Who is Tuner built for? Do I need to be an engineer to use it?
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Does Tuner support alerts and monitoring?
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Can I define my own evaluations and metrics?
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How is Tuner priced?
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Is my call data private and secure?
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