How do I contact Tavus for an enterprise pilot (allocated minutes, concurrency, SLAs, white-label)?

Most teams hit the same wall at the same moment: you’ve proven that real-time AI video works in a prototype, and now you need to know if Tavus can support real users—allocated minutes, high concurrency, hard SLAs, and fully white-labeled AI Humans inside your own product. That’s exactly when it’s time to talk to the Tavus enterprise team.

Quick Answer: To start an enterprise pilot with allocated usage, concurrency guarantees, SLAs, and white-label deployment, contact Tavus through the Enterprise flow on the website or via the Developer sign-up path and request an enterprise pilot. From there, our team scopes your use case, designs a usage and reliability plan, and sets up a structured pilot with clear performance and uptime expectations.

The Quick Overview

• What It Is: A structured, enterprise-grade pilot program to deploy Tavus real-time AI Humans in your product or workflows, with dedicated capacity planning, SLAs, and customization.
• Who It Is For: Product leaders, engineering teams, and enterprises that need reliable, face-to-face AI agents in production-like conditions—not just a sandbox demo.
• Core Problem Solved: You get a clear, validated answer to “Can Tavus handle our volume, concurrency, and reliability requirements—and can we ship it fully white-labeled?” before you commit to a full rollout.

How It Works

An enterprise pilot with Tavus is designed to feel like a real deployment, not a toy project. You get access to the same underlying models and pipeline our customers use in production—perception → speech recognition → LLM → TTS → real-time AI Human—paired with capacity guarantees and enterprise support.

At a high level, the path looks like this:

1. Initial Contact & Use Case Intake:
   You reach out through the Enterprise or Developer route, share your use case (e.g., customer support agents, sales copilots, internal training companions), and flag your needs around minutes, concurrency, and uptime. The Tavus team confirms fit and proposes a pilot structure.

2. Pilot Design & Capacity Planning:
   Together, we translate your goals into concrete numbers: concurrent sessions, expected call duration, total monthly minutes, regions, and languages. From there, we define SLAs, white-label requirements, and any custom integration work (e.g., embedding AI Humans into your app, integrating with your auth, or aligning with your CX stack).

3. Implementation, Testing & Go-Live:
   Your engineers integrate Tavus via API or web SDK, the Tavus team monitors real-time performance (latency, uptime, quality), and you run live traffic against the pilot allocation. We iterate on prompts, flows, and behaviors while benchmarking performance against the agreed SLAs.

1. Initial Contact & Use Case Intake

To contact Tavus about an enterprise pilot focused on allocated minutes, concurrency, SLAs, and white-label, you typically take one of two paths:

• Enterprise Route (recommended for non-technical buyers):

  • Navigate to the Enterprise or “Bring human connection to every AI interaction” section on the Tavus site.
  • Use the “Talk to a (real) human” / enterprise contact form.
  • In the message, explicitly mention:
    • That you’re interested in an enterprise pilot
    • Your estimated concurrent sessions and monthly minutes
    • Your need for SLAs, enterprise uptime guarantees, and white-labeled deployment

• Developer Route (recommended for technical teams):

  • Sign up for a Developer Account to start testing APIs.
  • Once you’ve validated fit at a technical level, reach out via the enterprise/contact channel or directly from within your account, noting that you want to upgrade to an enterprise pilot with dedicated capacity and SLAs.

From there, the Tavus team typically schedules a scoping conversation to align on goals and constraints.

2. Pilot Design & Capacity Planning

This is where the enterprise constraints get formalized. In this phase, you’ll typically cover:

• Allocated Minutes:

  • Expected monthly / quarterly usage by:
    • Number of sessions
    • Average session length
    • Growth ramp during the pilot
  • Minutes are aligned with your usage patterns (e.g., call center peaks vs. steady traffic in a SaaS app).

• Concurrency Requirements:

  • Peak simultaneous AI Human sessions you need to support.
  • Any regional distribution (e.g., US vs. EU users).
  • Latency expectations (sub-second turn-taking for natural conversation).

• SLAs & Reliability:

  • Target uptime backed by Tavus’s enterprise uptime guarantees.
  • Performance expectations for:
    • Video quality and frame consistency
    • ASR latency
    • Response timing (turn-taking that feels human, not buffered)
  • Monitoring and escalation paths during the pilot.

• White-Label & Integration:

  • Branding requirements (your logo, fonts, colors, and domain).
  • How AI Humans embed into your app (iframe, WebRTC integration, or custom UI).
  • SSO/auth, data handling, and any compliance constraints.
  • Whether you want Tavus to be fully invisible to end users (true white-label) or co-branded.

The outcome is a written pilot plan: duration, traffic levels, success metrics, and the reliability envelope Tavus commits to.

3. Implementation, Testing & Go-Live

Once you sign off on the pilot plan:

• Environment Setup:

  • Your team gets access to the relevant Tavus APIs and configuration options.
  • Any required environment separation (staging vs. production-like) is configured.

• Integration Work:

  • Your developers embed Tavus AI Humans where you need them: web app, mobile, internal tooling, or customer-facing workflows.
  • Tavus supports with guidance on:
    • Real-time video and WebRTC best practices
    • Handling screenshare input or user surroundings for richer perception
    • Optimizing prompts and flows for your use case

• Pilot Run & Optimization:

  • You drive live traffic within the agreed allocated minutes and concurrency.
  • Tavus monitors:
    • Latency (keeping it at “speed of human interaction”)
    • Uptime vs. SLA
    • Video realism (facial behavior, micro-expressions, temporal consistency)
  • You iterate on behavior, scripts, and escalation paths (e.g., handoff to human agents) while staying within your pilot allocation.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Allocated Capacity	Reserves a defined pool of minutes and concurrency just for your workloads.	Confidence that your AI Humans stay responsive at peak load.
Enterprise SLAs	Provides uptime and performance guarantees backed by Tavus’s infra.	Predictable reliability for production-like pilots.
White-Label Deployment	Embeds real-time, face-to-face AI Humans under your brand.	Native, on-brand experiences your users trust instantly.

Ideal Use Cases

• Best for product teams testing customer-facing AI copilots: Because you need to see how Tavus behaves under real traffic, with your users and your UI, before you roll it out across your entire customer base.

• Best for enterprise leaders validating AI in critical workflows: Because you need SLAs, uptime guarantees, and clear controls over minutes and concurrency before you expose AI Humans to sales, support, or operations teams at scale.

Limitations & Considerations

• Pilot Scope Is Bounded:
  An enterprise pilot is designed with specific bounds—time, minutes, concurrency. If you exceed those, you’ll work with Tavus to expand capacity or move toward a full production agreement.

• Contact Is Required for Enterprise Terms:
  Developer accounts are great for early experimentation, but allocated minutes, hard concurrency guarantees, formal SLAs, and full white-label typically require an enterprise engagement. You’ll need to speak with the Tavus team to put those in place.

Pricing & Plans

Exact pricing for an enterprise pilot depends on your volume, concurrency, and customization requirements. Tavus tailors plans around:

• Expected monthly/quarterly minutes
• Peak concurrent sessions
• Regions and languages (Tavus supports 30+ languages)
• Integration scope and support level
• SLA and uptime targets

Typical paths:

• Developer Account: Best for builders, founders, and teams integrating Tavus into a product who want to validate the tech and build early prototypes before committing to enterprise allocations.

• Enterprise Pilot Plan: Best for organizations that need defined usage allocations (minutes + concurrency), enterprise uptime guarantees, white-label deployment, and support for rolling AI Humans into live workflows.

Frequently Asked Questions

How do I actually reach someone at Tavus to set up an enterprise pilot?

Short Answer: Use the Enterprise contact flow (“Talk to a (real) human”) on the Tavus site or start from a Developer Account and request an upgrade to an enterprise pilot.

Details:
On the Tavus website, navigate to the Enterprise section that frames “Bring human connection to every AI interaction.” From there, submit the contact form and specify that you’re interested in an enterprise pilot with requirements around allocated minutes, concurrency, SLAs, and white-label deployment. Include as much detail as you can about your use case, expected traffic, and timelines.

If you’re already hands-on with a Developer Account, you can reference your existing implementation and ask the team to scope an enterprise pilot on top of what you’ve built.

Can Tavus support high-concurrency, globally distributed pilots with SLAs?

Short Answer: Yes—Tavus is built for enterprise performance and reliability, with sub-second latency and enterprise uptime guarantees, and can scope concurrency and SLA commitments as part of your pilot.

Details:
Tavus’s AI Humans are built for real-time video, voice, and perception, not asynchronous rendering. The underlying infrastructure and models have powered over 2 billion interactions, with a focus on sub-second latency and temporally consistent facial behavior. During the pilot scoping phase, the team will align with you on:

• Target concurrency in each region
• Latency envelopes for natural turn-taking
• Uptime and performance SLAs
  These commitments are then tracked throughout the pilot so you can verify that Tavus meets your operational needs before full rollout.

Summary

If you’re evaluating Tavus for serious deployment—allocated minutes, defined concurrency, hard SLAs, and true white-label AI Humans—the next step isn’t another demo video. It’s a structured enterprise pilot. By contacting Tavus through the Enterprise or Developer paths and clearly outlining your traffic and reliability needs, you can run a production-like test of real-time, face-to-face AI in your own environment, with the same performance, presence, and uptime we deliver for top companies today.

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