Intervo.ai

Intervo.ai

Open-source voice and chat AI agents you can self-host for free or run on managed credits from $10.

69/100MonitorFree · from Starts at $10 USDFreemium

If you need an auditable, self-hostable voice agent stack rather than a rented black box, Intervo is one of the more credible options near this price point — the MIT self-hosted edition is genuinely free, and the managed side starts at $10 pay-as-you-go with 2,000 credits. The Business plan runs $99/mo billed annually or $129/mo month-to-month, and credits are the meter: 1 credit per AI response, so call volume is the cost driver. Agencies with technical staff get the most out of it; Synthflow and similar fully managed platforms suit teams that would rather not model credits or touch infrastructure.

Verified 6d ago · liveness 69/100 · cite: rightaichoice.com/tools/intervo-ai

Best for
  • Agencies building white-label voice and chat agents for multiple clients
  • Businesses that need self-hosting or on-premise deployment for data control and compliance
  • Support teams automating Tier-1 FAQs and ticket routing via voice or chat
  • Sales teams screening and qualifying inbound leads against custom criteria
Not ideal for
  • Teams that want a no-code-only tool with no API or self-hosting involvement
  • Buyers who prefer a fully managed service and don't want to run infrastructure
  • High-volume call centers where per-response credit costs could outrun flat-rate pricing
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IntermediateManaged cloud: the vendor says the four-step build (prompt, knowledge upload, voice, publish) takes about five minutes to a live agent, and a website widget or Twilio number can be attached in the same session. Self-hosted: expect meaningful engineering time on top — you deploy and maintain the open-source stack yourself, so first value depends on your infrastructure, not on Intervo's onboarding.Web · APIAPI availableVerified 6d ago
Pricing
Free · from Starts at $10 USD
FreemiumFree tier5 plans5 hidden costs
Learning curve
Intermediate
Managed cloud: the vendor says the four-step build (prompt, knowledge upload, voice, publish) takes about five minutes to a live agent, and a website widget or Twilio number can be attached in the same session. Self-hosted: expect meaningful engineering time on top — you deploy and maintain the open-source stack yourself, so first value depends on your infrastructure, not on Intervo's onboarding.
Runs on
WebAPI
API available · 10 integrations
Who it's for
Agency owner building branded voice agents for clientsSupport lead automating Tier-1 questionsSales ops lead screening inbound leads
Live sentiment
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Skip it if

Skip Intervo if you want a fully managed voice agent with flat-rate or per-seat billing and no credit math, or if nobody on your team can run a self-hosted deployment.

The 30-second take
Biggest gripe

Every AI response costs 1 credit, so a busy queue or an outbound calling campaign burns through your 50,000 monthly credits in a straight line with volume — not on a flat rate.

Price reality

The self-hosted edition is free forever under MIT, the Developer plan starts at $10 pay-as-you-go with 2,000 credits, and Business is $99/mo billed annually (or $129/mo month-to-month) with 50,000 credits — so a small team or agency can start near zero. Fully managed voice platforms like Synthflow typically price per seat or per minute with no self-host option; Intervo's advantage is the free self-hosted floor and open model/voice choice, its risk is credit consumption at high call volume.

In short

Intervo.ai — Open-source voice and chat AI agents you can self-host for free or run on managed credits from $10. Best for Agencies building white-label voice and chat agents for multiple clients, Businesses that need self-hosting or on-premise deployment for data control and compliance, Support teams automating Tier-1 FAQs and ticket routing via voice or chat. Free to start; paid plans from $10.

What's new in Intervo.ai

Checked 6 days ago

Across the latest 2 updates: 2 news mentions.

Viability Score

69/100
Monitor

How well maintained and how widely used is Intervo.ai? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
40

Last calculated: October 2026

How we score →

Key Features

  • Real-time voice and chat AI agents
  • Self-hosted open-source deployment under MIT License
  • Multi-LLM support including OpenAI, Claude, and Gemini
  • Voice engine choice: ElevenLabs and Microsoft Azure
  • AI workflow automation for routine tasks and call routing
  • Lead qualification against custom criteria (budget, timeline, requirements)
  • Tier-1 customer support automation via voice or chat
  • Receptionist call handling and calendar scheduling
  • Document and file upload to train agents on your own data
  • Twilio phone number integration for inbound and outbound calls
  • Website widget embedding for chat and voice agents
  • API access on Developer plan and above
  • Real-time language translation across multiple languages
  • Pay-as-you-go credit system: 1 credit per AI response
  • Basic analytics on agent and conversation performance

About Intervo.ai

FreemiumIntermediateAPI availableWeb · API

Intervo.ai is an open-source platform for building voice and chat AI agents that handle customer support, lead qualification, receptionist calls, and internal help-desk queries. You build an agent in four steps: write a prompt to define its purpose, upload documents to train it on your own data, pick a voice, and publish it to a website widget or a Twilio phone number. The vendor says the flow takes about five minutes and requires no code. The agent stack connects to LLMs including OpenAI, Claude, and Gemini, and you choose voices from ElevenLabs or Microsoft Azure. An AI workflow layer steers conversations and automates routine tasks, and agents qualify leads against custom criteria such as budget, project requirements, and execution timeline rather than a keyword match. Intervo reports 90-95% voice recognition accuracy in ideal conditions and supports real-time language translation. The deployment fork is the point. The self-hosted edition is MIT licensed and always free, with full source code access and complete data control. The managed side bills by credits: every AI response costs exactly 1 credit, starting with a $10 pay-as-you-go Developer plan that includes 2,000 credits and API access. The Business plan is $99/mo billed annually (save 30%) or $129/mo month-to-month, both with 50,000 credits and unlimited training links. All managed orders run through Stripe, and the vendor offers a 7-day money-back guarantee. Intervo is built for agencies producing branded agents for clients and teams that want to automate Tier-1 support or first-line sales screening without handing data to a closed vendor. It is a reasonable alternative to proprietary voice-agent platforms like Synthflow when control and auditability matter more than a fully hands-off managed experience.

Behind the Verdict

Intervo's differentiator is that it gives you a real exit hatch. The self-hosted edition is MIT licensed and always free with full source code access, so a compliance-bound team can keep every conversation inside its own infrastructure. The managed side is straightforwardly metered: every AI response costs exactly 1 credit, the Developer plan starts at $10 with 2,000 credits and API access, and the Business plan gives 50,000 credits with unlimited training links at $99/mo billed annually (or $129/mo month-to-month if you don't want the annual commitment). Strengths: the build flow is genuinely short — prompt, knowledge upload, voice selection, publish — and the vendor claims roughly five minutes with no code. Model choice is open (OpenAI, Claude, Gemini) and voice choice is open (ElevenLabs, Microsoft Azure), which means you are not locked to one vendor's voice quality or one model's pricing. Lead qualification is criteria-based rather than keyword-based, so an agent can probe budget, project requirements, and timeline and route only the qualified ones. Twilio handles inbound and outbound calls; a website widget handles chat and voice on-site. Both a phone agent and a chat agent ship, so you don't choose one channel over the other. Weaknesses and things to model before you commit: the credit meter is the main financial risk. 1 credit per AI response sounds trivial, but a busy seat or a long support queue burns credits in a straight line with conversation volume, so high-volume call centers should run the arithmetic before signing. Self-hosting shifts cost from credits to engineering time — someone has to deploy and maintain it. Some capabilities, notably interactive product assistance, are still labeled coming soon. Real-time translation and 90-95% recognition accuracy are vendor-reported figures measured in ideal conditions, so noisy or accented production audio will land below that. Where it fits: agencies building white-label agents across multiple clients, support teams automating Tier-1 FAQs and routing, and sales teams screening inbound leads. Where it doesn't: high-volume call centers that need flat-rate predictability, or operations with no one technical enough to run a self-hosted deployment.

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Real-world workflow fit

Concrete scenarios for the personas Intervo.ai actually fits — and what changes day-one when you adopt it.

Agency owner building branded voice agents for clients

Write a prompt defining the client's agent purpose, upload the client's FAQ documents, pick an ElevenLabs voice, and publish a widget plus a Twilio number for the client's inbound line.

Outcome: The client gets a working voice-and-chat agent in a single build session without any code, and the agency can replicate the same four-step flow per client while keeping the stack self-hosted if the client requires data control.

Support lead automating Tier-1 questions

Train an agent on the help-center content, route it to common FAQs and issue triage, and let it hand off anything outside its knowledge base to human agents.

Outcome: Tier-1 FAQ volume drops off the human queue, and the support lead can watch conversation volume against the credit balance to see whether the Business plan's 50,000 credits are enough.

Sales ops lead screening inbound leads

Configure the agent to probe budget, project requirements, and execution timeline on inbound calls, then push qualified leads into the CRM via webhook.

Outcome: Reps only talk to leads that match the criteria, and the qualification questions adapt within the conversation rather than following a fixed keyword script.

Use Cases

Models Under the Hood

OpenAIClaudeGemini

as of 2026-10-08

Limitations

  • The free self-hosted edition requires technical know-how to deploy and maintain — you supply the infrastructure, not the vendor.
  • Managed plans meter every AI response at 1 credit, so cost scales with conversation volume and high-volume call centers should model spend before committing.
  • Interactive product assistance is still labeled 'coming soon'.
  • The 90-95% voice recognition figure is vendor-reported and measured in ideal conditions, so accuracy drops with noise, accent, or language complexity.
  • Real-time translation is vendor-reported and its language list is not published in the scraped material.

as of 2026-10-02

Verification history

We have re-verified Intervo.ai 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-checked, vendor evidence unchanged
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Intervo.ai tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Self-Hosted Open Source

$0

Ideal for

Technical teams with compliance or data-residency requirements and the engineering capacity to run their own deployment.

What this tier adds

Starting tier: free forever under MIT, full source code access, unlimited customization, community support only — no managed credits included.

Pay as you go (Developer Plan)

Starts at $10 USD

Ideal for

Solo builders, agencies testing client agents, and small teams that want to meter spend against actual conversation volume.

What this tier adds

Adds 2,000 AI credits, API access, the chat/voice integration widget, and basic analytics for a $10 entry price.

Subscription Business Plan — Yearly

$99/mo billed annually (save 30%)

Ideal for

Production support or sales teams with steady monthly volume who can commit to an annual term.

What this tier adds

Raises the credit pool to 50,000 and unlocks unlimited training links, at $99/mo billed annually (save 30%).

Subscription Business Plan — Monthly

$129/mo

Ideal for

Teams that need the same 50,000-credit capacity but want to stay month-to-month.

What this tier adds

Same 50,000 credits and unlimited training links as the yearly plan, at $129/mo month-to-month instead of $99/mo billed annually.

Enterprise

Contact Sales (annual billing only)

Ideal for

Organizations that need commercial license authorization, advanced security controls, and vendor-run maintenance.

What this tier adds

Adds enterprise-grade scalable deployment, commercial license authorization, exclusive enterprise features, vendor updates and maintenance, and professional technical support; billed annually via contact sales.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Every AI response costs 1 credit, so a busy queue or an outbound calling campaign burns through your 50,000 monthly credits in a straight line with volume — not on a flat rate.
  • The $99/mo Business price only holds if you pay annually; month-to-month is $129/mo, a roughly 30% premium for the flexibility.
  • Enterprise is annual billing only, so a team that needs SSO-grade controls at the enterprise tier has to commit for a year.
  • Self-hosting is free of license fees but not free of cost — you carry the infrastructure, deployment, and maintenance work yourself.
  • API access is not on the free self-hosted tier as a managed service; you get it on the Developer plan and above, meaning managed integrations start at the $10 credit plan.

Where the pricing makes sense

The company stage and team size where Intervo.ai's pricing actually pencils out — and where peers do it cheaper.

The self-hosted edition is free forever under MIT, the Developer plan starts at $10 pay-as-you-go with 2,000 credits, and Business is $99/mo billed annually (or $129/mo month-to-month) with 50,000 credits — so a small team or agency can start near zero. Fully managed voice platforms like Synthflow typically price per seat or per minute with no self-host option; Intervo's advantage is the free self-hosted floor and open model/voice choice, its risk is credit consumption at high call volume.

Setup time & first value

How long it actually takes to get something useful out of Intervo.ai — broken out by persona, not the marketing-page minute.

Managed cloud: the vendor says the four-step build (prompt, knowledge upload, voice, publish) takes about five minutes to a live agent, and a website widget or Twilio number can be attached in the same session. Self-hosted: expect meaningful engineering time on top — you deploy and maintain the open-source stack yourself, so first value depends on your infrastructure, not on Intervo's onboarding.

Switching to or from Intervo.ai

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a legacy IVR menu tree: replace the menu flow with a prompt-defined agent and publish it to the same Twilio number.
  • →From a scripted chatbot widget: upload the same knowledge documents and swap the keyword rules for criteria-based qualification.
  • →From a proprietary voice-agent SaaS: self-host the MIT edition and keep your conversation data inside your own infrastructure.
  • →From manual inbound call handling: point the existing phone line at a Twilio-connected Intervo agent for Tier-1 screening.
Migrating out
  • ↗To a fully managed voice platform: export your prompts and knowledge documents, then rebuild the agent in the new platform's builder since credit-based billing does not transfer.
  • ↗To a self-hosted-only setup: keep the MIT edition running yourself and cancel the managed subscription once the deployment is stable.
  • ↗To a flat-rate per-seat voice tool: model your monthly AI response count first, since Intervo's cost is per response rather than per seat.

Integrations

TwilioCalendlySlackWebhooksIntercomGoogle SheetsCal.comZapierElevenLabsAzure AI Speech

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Intervo.ai”, and we withheld 6: 6 could not be judged, because “Intervo.ai” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Intervo.ai.

Official links

Tools that pair well with Intervo.ai

Common stack mates teams adopt alongside Intervo.ai, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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