Live in production within 48 hours of discovery

The production-ready voice AI solution for regulated industries.

Dinodial builds AI agents that answer calls, place calls and carry cases to completion for healthcare and financial services. Rules are enforced in code, decisions that matter go to your staff, and every call is on record.

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Call replayBrookside Physical Therapy, after hours

AgentBrookside Physical Therapy. How can I help?
CallerI need to move my Thursday appointment.
AgentSure. Can I have your full name and date of birth?
CallerMaria Lopez, March 3rd, 1961.
AgentYou’re booked Thursday at 10 with Dr. Patel. I have Friday at 9 or 11:30.
Caller11:30. My knee has been really swollen since last week.
AgentYou’re set for Friday at 11:30. I’ve added a note for your therapist. If it gets worse, call your doctor, or 911 in an emergency.

Call steps

Greetno actions
Verify identityidentity check
Look up recordrecord lookup
Book or updatescheduling
Wrap upsave summary

System log

Record lookup before the caller is verified. Not allowed in this step.
Identity verified against the patient record
Appointment found. Open slots from scheduling.
Rebooked Fri 11:30. Symptom flagged for care team.
Booking, care note and summary saved to EHR

Illustrative calls. Names are made up.

48 hoursfrom discovery to live calls

1M+calls handled in production

75% vs 52%accuracy on the same AI model, ServiceNow EVA benchmark

SOC 2 Type IIHIPAA, GDPR, BAA signed

Why regulated teams choose Dinodial

Live in production within 48 hours

Once discovery is done, a working agent is built, tested against hard callers and approved by your team within 48 hours. Most voice AI projects take months.

Built for regulated industries

Rules are enforced in code, not left to the AI. Medical questions, disputes and submissions go to your staff. Every call, action and change is recorded for audit.

Accuracy you can check

On ServiceNow’s public EVA benchmark, the same AI model passed 75% of calls on Dinodial against 52% as published. The method and call recordings are public at bench.dinodial.ai.

Front desk to back office, run for you

Voice agents answer and place calls. Workflow agents carry cases like prior authorizations for days until they close. Dinodial builds and maintains both.

Build, test, launch and improve, on one platform

Everything needed to run AI agents safely in production, delivered and maintained by Dinodial. Your team reviews and approves.

Calls run in steps, not one long prompt

Each step has one goal and only the actions it needs. Anything attempted out of turn is blocked before it reaches your systems.

Dinodial agent editor: the list of call steps on the left and one step open on the right with its instruction, the one action it allows and the next step — Swipe to see the full screen

Every channel your customers use

Your phone numbers, your app and your website. Inbound and outbound, day and night, with natural speech-to-speech conversation.

Phone Mobile app Website

Tested before any customer hears it

Simulated callers put every agent through your hardest conversations, voice to voice. Every fix is tested again before it goes live.

Pre-launch tests / simulated callers

Upset about a billPassed
Gives the wrong date of birthPassed
Calls on behalf of a parentPassed
Asks for something not allowedPassed
Moving a policy from another insurerPassed
Hangs up before the recapFix suggested

See and score every call

Every call recorded, transcribed and traced step by step, then scored against your policies. Not a sample: every call.

Dinodial call review: playback, a timeline of both speakers with each step marked, and the transcript side by side — Swipe to see the full screen

Long-horizon workflow agents

Cases that take days, like prior authorizations, carried to a decision. The agent reads policies, calls payers, waits on hold and follows up. Your staff approve what gets submitted.

Prior authorization / lower-back fusion, Medicare Advantage

DinodialYour specialist approves

Same dayorder to submitted request

~6 minstaff time, for two approvals

0 minstaff time on hold

Every change approved and reversible

See who changed what, approve before it goes live, roll back in one step.

Clinic inbound / versions

v14Added date of birth checkapproved 2 days agoLive
v13Newer speech modelapproved 1 week agoApproved
v12Shorter goodbyereverted 2 weeks agoRolled back

One platform for the agents and everything around them: the controls that keep them on policy, the testing before launch, the record of every call, and the approvals your compliance team needs.

AI Agents
Long-Horizon Workflow Agents
Policy Controls
Pre-launch Testing
Observability
Evaluations
Change Control
Integrations with CRM, EHR and contact center

Built for work where one mistake is expensive

One caller given someone else’s details, one invented figure or one missed escalation can mean fines, complaints and lost trust. Dinodial is designed around three requirements.

Control

Rules are enforced by the system, not left to the AI’s judgment. No record opens before the caller is verified, no action happens outside its step, and no figure is quoted that didn’t come from your systems.

People where it matters

Medical questions, urgent symptoms, disputes and anything unusual go to a person, with a summary of the call. Submissions, appeals and changes to the agent wait for your staff’s approval.

A complete audit trail

Every call recorded and transcribed. Every step, system action and blocked action logged with a timestamp. Every change to an agent shows who made it and who approved it.

Healthcare

Patient details shared with the wrong caller is a HIPAA breach. Urgent symptoms must reach a clinician, every time.

Where Dinodial works

SchedulingReminders and intakeEligibility checksPrior authorizationClaim status and denialsProgram enrollmentDischarge check-insPatient balances

Safeguards

Name and date of birth verified before any detail is shared
No medical advice. Symptoms go to the care team, emergencies to emergency guidance
BAA signed

Financial services

Unverified callers, missed disclosures and unauthorized account actions lead to regulatory findings and customer harm.

Where Dinodial works

Payment remindersEarly-stage collectionsCard activationFraud alert confirmationLoan and policy servicingDocument follow-upInsurance claim statusRenewal calls

Safeguards

Identity verified to your standard before any account detail
Required disclosures read word for word, on every call
Consent logged. Opt-outs take effect immediately

Proven on a public voice AI benchmark

ServiceNow’s EVA benchmark tests voice agents on real policy rules: simulated callers push back, and after each call the system checks what the agent changed against what the policy allowed. We ran the same AI model with and without Dinodial. Only the platform changed.

Read the full benchmark report at bench.dinodial.ai

Accuracy on airline and IT scenarios

52%Gemini 3.8 Live, as published

75%the same model, run on Dinodial

As published

52%

Same model, extended thinking on

61%

Best published system on the board

74%

Same model on Dinodial, thinking off

75%

Scored with EVA’s own scenarios and code in our test setup. Method and call recordings at bench.dinodial.ai.

One call, two results

A caller moved her own flight and asks for a hotel voucher. Policy: vouchers only when the airline caused the disruption.

One long prompt

0/3

Skipped the eligibility check and issued the voucher.

Policy broken

Dinodial

8/8

Eligibility step found it was her choice. Declined politely.

Policy held

89%accuracy in airline scenarios, the benchmark’s densest policy rules

Built for speech-to-speech models from day one

Most voice AI chains three systems: speech to text, an AI model, then text to speech. Each hand-off adds delay, and teams spend months tuning response times, interruptions and when the agent should speak.

Dinodial runs on speech-to-speech models that hear and reply in one step, so response time and turn-taking come from the model. These models are harder to keep on policy over a long call, which is why most of the industry avoids them. Our controls were built for them from the start.

The usual way: three systems

Speech to text

AI model

Text to speech

Dinodial: one model

Speech in, speech out

Illustrative. Dinodial replies in under a second and handles interruptions.

Three ways to put a voice agent into production

Based on public information, November 2026.
Criteria	LiveKitDeveloper framework	ElevenLabsVoice agent platform	DinodialProduction voice agents
How the voice works	Speech, AI and voice providers your team connects	Chained: speech recognition, AI model, voice, turn-taking	One speech-to-speech model hears and replies
Response time and turn-taking	Tuned by your engineers	Their turn-taking model, set in configuration	Handled inside the model
How rules are enforced	Whatever your team builds	Prompts, workflows and tools you configure	Step by step, with every action checked in code
Who builds and runs it	Your developers	Your developers or a partner	Dinodial builds; your staff approve
Time to production	Depends on your team	Depends on who builds it	48 hours after discovery
Testing before launch	Built or added by your team	Automated tests, live A/B experiments	Simulated callers on your hardest cases
Audit trail	What your team chooses to log	Call history and transcript search	Every call, step, action and approved change
Published accuracy	Not applicable	Listed on ServiceNow’s EVA leaderboard	ServiceNow EVA: 75% vs 52% on the same model
Compliance	Depends on your deployment	SOC 2, HIPAA, GDPR	SOC 2 Type II, HIPAA, GDPR, BAA
Best fit	Teams that want to own every layer	Voice quality and language coverage, with build capacity	Regulated teams that need to go live fast

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