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

If you’re ready to run an enterprise pilot with Tavus—testing allocated minutes, concurrency limits, SLAs, and white-labeled AI Humans—the path starts with contacting the Tavus team directly through the enterprise and developer channels on the site. The goal of that first touchpoint is simple: match your real-time video workload (volume, peaks, security, branding) with the right Tavus deployment model and guarantees.

Quick Answer: Reach out to Tavus for an enterprise pilot by connecting with the team through the enterprise contact path on tavus.io or by signing up for a Developer Account and requesting an enterprise pilot. From there, the team will scope your allocated minutes, concurrency requirements, SLAs, and white-label options based on your product and scale needs.

The Quick Overview

What It Is: A structured enterprise pilot program to test Tavus real-time AI Humans in your environment with defined usage (minutes), concurrency, SLAs, and white-labeled deployment.
Who It Is For: Product leaders, founders, and enterprise teams who need face-to-face AI agents embedded into apps, workflows, or services with enterprise performance and reliability.
Core Problem Solved: It gives you a safe, scoped way to validate Tavus’s sub-second, real-time AI video agents—under the same conditions you’ll use in production—before committing to a larger rollout.

How It Works

An enterprise pilot with Tavus is a short, focused engagement where you integrate Tavus’s real-time AI Humans into a narrow set of workflows, then stress-test them under realistic load. The pilot is designed around four constraints: allocated minutes, concurrent sessions, SLAs, and white-labeling/embedding.

Here’s how the process typically unfolds once you contact Tavus:

Scoping & Requirements:
- You describe your use case (support, sales, training, internal tools, consumer app).
- The Tavus team maps that to expected traffic patterns, peak concurrency, and languages.
- You clarify non-negotiables: uptime guarantees, latency needs, data handling, branding.
Pilot Design & Account Setup:
- Tavus helps you choose between:
  - A Developer Account with elevated limits and enterprise features, or
  - A more hands-on enterprise deployment with white-labeled video agents.
- Allocated minutes and concurrency caps are set for the pilot window.
- You get credentials, implementation guidance, and access to Tavus’s real-time APIs.
Run, Measure, and Scale:
- You integrate Tavus into your product (embedded widgets, WebRTC-based sessions, or custom UI).
- The team monitors performance: sub-second latency, resilience, uptime, and user experience.
- At the end, you review results and extend into a broader enterprise contract with updated minutes, concurrency, and SLAs based on what you learned.

Features & Benefits Breakdown

Core Feature	What It Does	Primary Benefit
Allocated Minutes	Defines how many real-time video interaction minutes you can use in a pilot.	Lets you test realistic usage volume without overspending or hitting hard caps.
Concurrency Planning	Sets and monitors the number of simultaneous AI Human sessions.	Ensures your experience stays smooth during peak traffic and spikes.
Enterprise SLAs	Formalizes uptime, latency, and performance commitments.	Gives your team confidence that Tavus can meet production-grade reliability.
White-Labeled AI	Embeds Tavus AI Humans into your product under your brand.	Delivers a fully branded, face-to-face AI experience that feels native to you.
Developer Tooling	Provides APIs, SDKs, and integration support.	Speeds up proof-of-concept builds while keeping you close to production-ready.

Ideal Use Cases

Best for high-stakes, real-time interactions: Because it lets you test Tavus as a face-to-face front line for support, onboarding, or internal workflows where latency, uptime, and trust really matter.
Best for teams planning large-scale deployment: Because the pilot can model your eventual production footprint—allocated minutes, peak concurrency, and enterprise uptime guarantees—before you commit to a long-term contract.

Limitations & Considerations

Pilot scope is intentionally limited: Enterprise pilots are usually time-bound and capped on minutes and concurrency. This is by design—to focus on a few critical workflows and avoid overextending integration resources. If you expect massive spikes, flag that early so the team can size the pilot correctly.
Custom SLAs and white-labeling may require deeper review: Heavier requirements (e.g., strict data residency, custom compliance, extremely high concurrency) often need security and architecture review. Build that into your timeline when you contact the team.

Pricing & Plans

Enterprise pilot pricing is tailored based on your usage profile and deployment model. Tavus doesn’t treat enterprise pilots as generic “free trials”—they’re structured experiments aligned with the scale and risk tolerance of your team.

In practice, you’ll typically start through one of two paths:

Developer Account: Best for builders, founders, and teams integrating Tavus into a product who need to prototype real-time AI Humans quickly, then graduate to enterprise terms once the pilot proves out. You’ll use Tavus APIs and tools, then work with sales/solutions to layer on enterprise minutes, concurrency, and SLAs.
Enterprise Engagement: Best for larger organizations or mission-critical use cases that require white-labeling, enterprise uptime guarantees, and careful performance planning from day one. Here, Tavus’s enterprise team helps you design, integrate, and deploy AI Humans into production workflows.

For exact pricing, volume tiers, and pilot structures, you’ll need to contact Tavus directly; those details are set case by case.

Frequently Asked Questions

How do I actually contact Tavus to start an enterprise pilot?

Short Answer: Go to tavus.io, navigate to the enterprise or developer sections, and reach out through the provided contact flow—either by talking to the enterprise team or creating a Developer Account and requesting an enterprise pilot.

Details:
From the Tavus homepage, you’ll see distinct paths:

Developer Accounts: If you’re a builder, this is the fastest way to touch the platform. Create a Developer Account to access APIs and tools. Once inside, you can coordinate with Tavus to upgrade into a formal enterprise pilot with defined minutes, concurrency, and SLAs.
Enterprise Contact: If you already know you need SLAs, white-labeling, or organizational rollout, use the enterprise contact option to talk directly with Tavus’s enterprise team. They’ll walk through your workload, security posture, and branding needs, then structure a pilot tailored to those requirements.

In both cases, the next step after initial contact is a short scoping conversation, where you’ll define how many minutes you expect to consume, how many concurrent users you’ll support, and what reliability you need to test.

Can I get white-label, high-concurrency AI Humans in the pilot phase?

Short Answer: Yes, but they’ll be scoped and sized to your pilot design, with concurrency and minutes agreed up front.

Details:
Tavus is built so you can embed real-time, face-to-face AI Humans directly into your app with white-labeled UI and behavior. During the enterprise pilot, the team will:

Estimate your concurrent sessions based on your user flows and traffic patterns.
Allocate minutes and concurrency ceilings that reflect realistic—but safe—production-like load.
Apply enterprise-grade performance expectations (sub-second latency, uptime guarantees) where relevant, so you can see how Tavus behaves under load.

If you expect your pilot to mirror full production (e.g., many thousands of concurrent users), mention that in your first contact so the architecture and SLAs can be designed to handle that scale.

Summary

To kick off an enterprise pilot with Tavus—covering allocated minutes, concurrency, SLAs, and white-label AI Humans—you’ll need to engage directly with the Tavus team through the enterprise and developer paths on tavus.io. From there, the process focuses on scoping your real-time video workload, tailoring limits and guarantees to your specific use case, and running a focused, production-like test of Tavus’s AI Humans in your environment.

Next Step

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